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LINKEDIN 2021 JOBS REPORT HIGHLIGHTS DATA SCIENCE AND AI To identify these industries, LinkedIn looked at the year-on-year growth rates of over 15,000 job titles from April 2020 to October 2020. They then organized the job titles into larger trends, including up to 25 titles in each category. In this report, a larger variety of industries are identified, including jobs in data science and AI. DATA SCIENCE IN MANUFACTURING: AN OVERVIEW In the last couple of years, data science has seen an immense influx in various industrial applications across the board. Today, we can see data science applied in health care, customer service, governments, cybersecurity, mechanical, aerospace, and other industrial applications. Among these, manufacturing has gained more prominence toachieve a
15 OPEN DATASETS FOR HEALTHCARE OpenfMRI: Other imaging data sets from MRI machines to foster research, better diagnostics, and training. It includes 95 datasets from 3372 subjects with new material being added as researchers make their own data open to the public. CT Medical Images: This one is a small dataset, but it’s specifically cancer-related. 10 NOTABLE FRAMEWORKS FOR NLP TensorFlow remains one of the most popular frameworks for machine and deep learning, but you can translate that power to NLP tasks. Its most famous application, Google Translate, may spawn numerous jokes in the language learning world, but the fact that it gets close is an impressive feat. TensorFlow offers flexible, production-scale SEQUENCE MODELLING WITH DEEP LEARNING This is a short preview post for my upcoming tutorial “Sequence Modelling with Deep Learning” at ODSC London in November 2019. — Much of data is sequential — think speech, text, DNA, stock prices, financial transactions, and customer action histories. Our best-performing methods for modelling sequence data use deep neuralnetworks, usually
HIERARCHICAL BAYESIAN MODELS IN R Hierarchical approaches to statistical modeling are integral to a data scientist’s skill set because hierarchical data is incredibly common. In this article, we’ll go through the advantages of employing hierarchical Bayesian models and go through an exercise building one in R. If you’re unfamiliar with Bayesian modeling, Irecommend following
CREATIVITY INSPIRED ZERO-SHOT LEARNING: CLASSIFYING UNSEENSEE MORE ONOPENDATASCIENCE.COM
BUILDING A COVID-19 DASHBOARD WITH TABLEAU Building a COVID-19 Dashboard: One of the best examples of effective and interactive dashboards could be the recent COVID-19 dashboards. It is the basis of how we are seeing and measuring the impact of this virus in the world. Various countries and even states or regions have created their own COVID-19 dashboards to make people aware of the 10 BEST DATA SCIENCE PLATFORMS Cloudera. Cloudera is a hugely popular platform optimized for the cloud and enterprise data solutions. It has automatic data pipelines and has support for full Hadoop authentication and encryption. It’s excellent for running the types of sensitive data large corporations often have, allowing Spark queries within a safe environment. TOP MOOCS FOR DATA SCIENCE IN 2020 Last year I wrote an article on this topic and I wanted to update it for the new year—2020. As I teach introductory data science courses at UCLA, I embrace new learning resources with eyes wide open. I’m always looking for quality education options to recommend to mystudents after
LINKEDIN 2021 JOBS REPORT HIGHLIGHTS DATA SCIENCE AND AI To identify these industries, LinkedIn looked at the year-on-year growth rates of over 15,000 job titles from April 2020 to October 2020. They then organized the job titles into larger trends, including up to 25 titles in each category. In this report, a larger variety of industries are identified, including jobs in data science and AI. DATA SCIENCE IN MANUFACTURING: AN OVERVIEW In the last couple of years, data science has seen an immense influx in various industrial applications across the board. Today, we can see data science applied in health care, customer service, governments, cybersecurity, mechanical, aerospace, and other industrial applications. Among these, manufacturing has gained more prominence toachieve a
15 OPEN DATASETS FOR HEALTHCARE OpenfMRI: Other imaging data sets from MRI machines to foster research, better diagnostics, and training. It includes 95 datasets from 3372 subjects with new material being added as researchers make their own data open to the public. CT Medical Images: This one is a small dataset, but it’s specifically cancer-related. 10 NOTABLE FRAMEWORKS FOR NLP TensorFlow remains one of the most popular frameworks for machine and deep learning, but you can translate that power to NLP tasks. Its most famous application, Google Translate, may spawn numerous jokes in the language learning world, but the fact that it gets close is an impressive feat. TensorFlow offers flexible, production-scale SEQUENCE MODELLING WITH DEEP LEARNING This is a short preview post for my upcoming tutorial “Sequence Modelling with Deep Learning” at ODSC London in November 2019. — Much of data is sequential — think speech, text, DNA, stock prices, financial transactions, and customer action histories. Our best-performing methods for modelling sequence data use deep neuralnetworks, usually
HIERARCHICAL BAYESIAN MODELS IN R Hierarchical approaches to statistical modeling are integral to a data scientist’s skill set because hierarchical data is incredibly common. In this article, we’ll go through the advantages of employing hierarchical Bayesian models and go through an exercise building one in R. If you’re unfamiliar with Bayesian modeling, Irecommend following
CREATIVITY INSPIRED ZERO-SHOT LEARNING: CLASSIFYING UNSEENSEE MORE ONOPENDATASCIENCE.COM
OPEN DATA SCIENCE
Leveraging the Advantages of Bayesian Methods to Build a Data Science Product– Korbinian Kuusisto | ODSC Europe 2019. This talk will demonstrate how Bayesian methods can and should be used to build innovative data products. More specifically, it will show how a startup used Bayesian Hierarchical Models and PyMC3 to build anext-generation
10 BEST DATA SCIENCE PLATFORMS Cloudera. Cloudera is a hugely popular platform optimized for the cloud and enterprise data solutions. It has automatic data pipelines and has support for full Hadoop authentication and encryption. It’s excellent for running the types of sensitive data large corporations often have, allowing Spark queries within a safe environment. ODSC WEST 2021 SPEAKERS: SEE THE FIRST GROUP ANNOUNCED 17 hours ago · This November, ODSC will be returning to in-person conferences with ODSC West 2021, November 16th-18th in San Francisco. This year we will be introducing an all-new format: the hybrid conference. Not only will we have in-person talks, workshops, and training sessions, we will also have virtual sessions. Although wehave
FACEBOOK'S PROPHET FORECASTING CRYSTAL BALL Facebook’s Prophet is one of the most-liked forecasting approaches nowadays. Its usage is very well described, the code itself cleanly documented, hence instead of giving examples of Facebook’s Prophet, we will look under the hood to understand where these Bayesian model novelties lie. The Model The second you hear the DATA INGESTION: REPURPOSING BINARY SERIALIZED DATA STRUCTURES 1 day ago · There are a great many binary formats that data might live in. Everything very popular has grown good open-source libraries, but you may encounter some legacy or in-house format for which this is not true. Good general advice is that unless there is an DATA SCIENCE MATURITY: THE CONTINUED PATH IN 2021 2020 was a real outlier in data terms. None of us could have predicted most of the year’s trends and developments. I spend a lot of time engaging with organizations to help them use data science and AI to improve their business and create value. In 2020, many of them DATA INGESTION ARCHIVES 1 day ago · There are a great many binary formats that data might live in. Everything very popular has grown good open-source libraries, but you may encounter some legacy or MACHINE LEARNING OPEN DATASETS: 25 OF THE BEST Image Datasets. – Imagenet: Dataset containing over 14 million images available for download in different formats. It also includes API integration and is organized according to the WordNet hierarchy. – Google’s Open Images: 9 million URLs to categorized public images in over 6,000 categories. BUILDING A COVID-19 DASHBOARD WITH TABLEAU Building a COVID-19 Dashboard: One of the best examples of effective and interactive dashboards could be the recent COVID-19 dashboards. It is the basis of how we are seeing and measuring the impact of this virus in the world. Various countries and even states or regions have created their own COVID-19 dashboards to make people aware of the AN INTRODUCTION TO OBJECT ORIENTED DATA SCIENCE IN PYTHON A lot of focus in the data science community is on reducing the complexity and time involved in data gathering, cleaning, and organization. This article discusses how object oriented design techniques from software engineering can be used to reduce coding overhead and create robust, reusable data acquisition and cleaningsystems.
BUILDING A COVID-19 DASHBOARD WITH TABLEAU Building a COVID-19 Dashboard: One of the best examples of effective and interactive dashboards could be the recent COVID-19 dashboards. It is the basis of how we are seeing and measuring the impact of this virus in the world. Various countries and even states or regions have created their own COVID-19 dashboards to make people aware of the 10 BEST DATA SCIENCE PLATFORMS Cloudera. Cloudera is a hugely popular platform optimized for the cloud and enterprise data solutions. It has automatic data pipelines and has support for full Hadoop authentication and encryption. It’s excellent for running the types of sensitive data large corporations often have, allowing Spark queries within a safe environment. TOP MOOCS FOR DATA SCIENCE IN 2020 Last year I wrote an article on this topic and I wanted to update it for the new year—2020. As I teach introductory data science courses at UCLA, I embrace new learning resources with eyes wide open. I’m always looking for quality education options to recommend to mystudents after
LINKEDIN 2021 JOBS REPORT HIGHLIGHTS DATA SCIENCE AND AI To identify these industries, LinkedIn looked at the year-on-year growth rates of over 15,000 job titles from April 2020 to October 2020. They then organized the job titles into larger trends, including up to 25 titles in each category. In this report, a larger variety of industries are identified, including jobs in data science and AI. DATA SCIENCE IN MANUFACTURING: AN OVERVIEW In the last couple of years, data science has seen an immense influx in various industrial applications across the board. Today, we can see data science applied in health care, customer service, governments, cybersecurity, mechanical, aerospace, and other industrial applications. Among these, manufacturing has gained more prominence toachieve a
15 OPEN DATASETS FOR HEALTHCARE OpenfMRI: Other imaging data sets from MRI machines to foster research, better diagnostics, and training. It includes 95 datasets from 3372 subjects with new material being added as researchers make their own data open to the public. CT Medical Images: This one is a small dataset, but it’s specifically cancer-related. 10 NOTABLE FRAMEWORKS FOR NLP TensorFlow remains one of the most popular frameworks for machine and deep learning, but you can translate that power to NLP tasks. Its most famous application, Google Translate, may spawn numerous jokes in the language learning world, but the fact that it gets close is an impressive feat. TensorFlow offers flexible, production-scale SEQUENCE MODELLING WITH DEEP LEARNING This is a short preview post for my upcoming tutorial “Sequence Modelling with Deep Learning” at ODSC London in November 2019. — Much of data is sequential — think speech, text, DNA, stock prices, financial transactions, and customer action histories. Our best-performing methods for modelling sequence data use deep neuralnetworks, usually
HIERARCHICAL BAYESIAN MODELS IN R Hierarchical approaches to statistical modeling are integral to a data scientist’s skill set because hierarchical data is incredibly common. In this article, we’ll go through the advantages of employing hierarchical Bayesian models and go through an exercise building one in R. If you’re unfamiliar with Bayesian modeling, Irecommend following
CREATIVITY INSPIRED ZERO-SHOT LEARNING: CLASSIFYING UNSEENSEE MORE ONOPENDATASCIENCE.COM
BUILDING A COVID-19 DASHBOARD WITH TABLEAU Building a COVID-19 Dashboard: One of the best examples of effective and interactive dashboards could be the recent COVID-19 dashboards. It is the basis of how we are seeing and measuring the impact of this virus in the world. Various countries and even states or regions have created their own COVID-19 dashboards to make people aware of the 10 BEST DATA SCIENCE PLATFORMS Cloudera. Cloudera is a hugely popular platform optimized for the cloud and enterprise data solutions. It has automatic data pipelines and has support for full Hadoop authentication and encryption. It’s excellent for running the types of sensitive data large corporations often have, allowing Spark queries within a safe environment. TOP MOOCS FOR DATA SCIENCE IN 2020 Last year I wrote an article on this topic and I wanted to update it for the new year—2020. As I teach introductory data science courses at UCLA, I embrace new learning resources with eyes wide open. I’m always looking for quality education options to recommend to mystudents after
LINKEDIN 2021 JOBS REPORT HIGHLIGHTS DATA SCIENCE AND AI To identify these industries, LinkedIn looked at the year-on-year growth rates of over 15,000 job titles from April 2020 to October 2020. They then organized the job titles into larger trends, including up to 25 titles in each category. In this report, a larger variety of industries are identified, including jobs in data science and AI. DATA SCIENCE IN MANUFACTURING: AN OVERVIEW In the last couple of years, data science has seen an immense influx in various industrial applications across the board. Today, we can see data science applied in health care, customer service, governments, cybersecurity, mechanical, aerospace, and other industrial applications. Among these, manufacturing has gained more prominence toachieve a
15 OPEN DATASETS FOR HEALTHCARE OpenfMRI: Other imaging data sets from MRI machines to foster research, better diagnostics, and training. It includes 95 datasets from 3372 subjects with new material being added as researchers make their own data open to the public. CT Medical Images: This one is a small dataset, but it’s specifically cancer-related. 10 NOTABLE FRAMEWORKS FOR NLP TensorFlow remains one of the most popular frameworks for machine and deep learning, but you can translate that power to NLP tasks. Its most famous application, Google Translate, may spawn numerous jokes in the language learning world, but the fact that it gets close is an impressive feat. TensorFlow offers flexible, production-scale SEQUENCE MODELLING WITH DEEP LEARNING This is a short preview post for my upcoming tutorial “Sequence Modelling with Deep Learning” at ODSC London in November 2019. — Much of data is sequential — think speech, text, DNA, stock prices, financial transactions, and customer action histories. Our best-performing methods for modelling sequence data use deep neuralnetworks, usually
HIERARCHICAL BAYESIAN MODELS IN R Hierarchical approaches to statistical modeling are integral to a data scientist’s skill set because hierarchical data is incredibly common. In this article, we’ll go through the advantages of employing hierarchical Bayesian models and go through an exercise building one in R. If you’re unfamiliar with Bayesian modeling, Irecommend following
CREATIVITY INSPIRED ZERO-SHOT LEARNING: CLASSIFYING UNSEENSEE MORE ONOPENDATASCIENCE.COM
OPEN DATA SCIENCE
Leveraging the Advantages of Bayesian Methods to Build a Data Science Product– Korbinian Kuusisto | ODSC Europe 2019. This talk will demonstrate how Bayesian methods can and should be used to build innovative data products. More specifically, it will show how a startup used Bayesian Hierarchical Models and PyMC3 to build anext-generation
10 BEST DATA SCIENCE PLATFORMS Cloudera. Cloudera is a hugely popular platform optimized for the cloud and enterprise data solutions. It has automatic data pipelines and has support for full Hadoop authentication and encryption. It’s excellent for running the types of sensitive data large corporations often have, allowing Spark queries within a safe environment. ODSC WEST 2021 SPEAKERS: SEE THE FIRST GROUP ANNOUNCED 15 hours ago · This November, ODSC will be returning to in-person conferences with ODSC West 2021, November 16th-18th in San Francisco. This year we will be introducing an all-new format: the hybrid conference. Not only will we have in-person talks, workshops, and training sessions, we will also have virtual sessions. Although wehave
FACEBOOK'S PROPHET FORECASTING CRYSTAL BALL Facebook’s Prophet is one of the most-liked forecasting approaches nowadays. Its usage is very well described, the code itself cleanly documented, hence instead of giving examples of Facebook’s Prophet, we will look under the hood to understand where these Bayesian model novelties lie. The Model The second you hear the DATA INGESTION: REPURPOSING BINARY SERIALIZED DATA STRUCTURES 1 day ago · There are a great many binary formats that data might live in. Everything very popular has grown good open-source libraries, but you may encounter some legacy or in-house format for which this is not true. Good general advice is that unless there is an DATA SCIENCE MATURITY: THE CONTINUED PATH IN 2021 2020 was a real outlier in data terms. None of us could have predicted most of the year’s trends and developments. I spend a lot of time engaging with organizations to help them use data science and AI to improve their business and create value. In 2020, many of them DATA INGESTION ARCHIVES 1 day ago · There are a great many binary formats that data might live in. Everything very popular has grown good open-source libraries, but you may encounter some legacy or MACHINE LEARNING OPEN DATASETS: 25 OF THE BEST Image Datasets. – Imagenet: Dataset containing over 14 million images available for download in different formats. It also includes API integration and is organized according to the WordNet hierarchy. – Google’s Open Images: 9 million URLs to categorized public images in over 6,000 categories. BUILDING A COVID-19 DASHBOARD WITH TABLEAU Building a COVID-19 Dashboard: One of the best examples of effective and interactive dashboards could be the recent COVID-19 dashboards. It is the basis of how we are seeing and measuring the impact of this virus in the world. Various countries and even states or regions have created their own COVID-19 dashboards to make people aware of the AN INTRODUCTION TO OBJECT ORIENTED DATA SCIENCE IN PYTHON A lot of focus in the data science community is on reducing the complexity and time involved in data gathering, cleaning, and organization. This article discusses how object oriented design techniques from software engineering can be used to reduce coding overhead and create robust, reusable data acquisition and cleaningsystems.
BUILDING A COVID-19 DASHBOARD WITH TABLEAU Building a COVID-19 Dashboard: One of the best examples of effective and interactive dashboards could be the recent COVID-19 dashboards. It is the basis of how we are seeing and measuring the impact of this virus in the world. Various countries and even states or regions have created their own COVID-19 dashboards to make people aware of the 10 BEST DATA SCIENCE PLATFORMS Cloudera. Cloudera is a hugely popular platform optimized for the cloud and enterprise data solutions. It has automatic data pipelines and has support for full Hadoop authentication and encryption. It’s excellent for running the types of sensitive data large corporations often have, allowing Spark queries within a safe environment. TOP MOOCS FOR DATA SCIENCE IN 2020 Last year I wrote an article on this topic and I wanted to update it for the new year—2020. As I teach introductory data science courses at UCLA, I embrace new learning resources with eyes wide open. I’m always looking for quality education options to recommend to mystudents after
LINKEDIN 2021 JOBS REPORT HIGHLIGHTS DATA SCIENCE AND AI To identify these industries, LinkedIn looked at the year-on-year growth rates of over 15,000 job titles from April 2020 to October 2020. They then organized the job titles into larger trends, including up to 25 titles in each category. In this report, a larger variety of industries are identified, including jobs in data science and AI. DATA SCIENCE IN MANUFACTURING: AN OVERVIEW In the last couple of years, data science has seen an immense influx in various industrial applications across the board. Today, we can see data science applied in health care, customer service, governments, cybersecurity, mechanical, aerospace, and other industrial applications. Among these, manufacturing has gained more prominence toachieve a
15 OPEN DATASETS FOR HEALTHCARE OpenfMRI: Other imaging data sets from MRI machines to foster research, better diagnostics, and training. It includes 95 datasets from 3372 subjects with new material being added as researchers make their own data open to the public. CT Medical Images: This one is a small dataset, but it’s specifically cancer-related. 10 NOTABLE FRAMEWORKS FOR NLP TensorFlow remains one of the most popular frameworks for machine and deep learning, but you can translate that power to NLP tasks. Its most famous application, Google Translate, may spawn numerous jokes in the language learning world, but the fact that it gets close is an impressive feat. TensorFlow offers flexible, production-scale SEQUENCE MODELLING WITH DEEP LEARNING This is a short preview post for my upcoming tutorial “Sequence Modelling with Deep Learning” at ODSC London in November 2019. — Much of data is sequential — think speech, text, DNA, stock prices, financial transactions, and customer action histories. Our best-performing methods for modelling sequence data use deep neuralnetworks, usually
HIERARCHICAL BAYESIAN MODELS IN R Hierarchical approaches to statistical modeling are integral to a data scientist’s skill set because hierarchical data is incredibly common. In this article, we’ll go through the advantages of employing hierarchical Bayesian models and go through an exercise building one in R. If you’re unfamiliar with Bayesian modeling, Irecommend following
CREATIVITY INSPIRED ZERO-SHOT LEARNING: CLASSIFYING UNSEENSEE MORE ONOPENDATASCIENCE.COM
BUILDING A COVID-19 DASHBOARD WITH TABLEAU Building a COVID-19 Dashboard: One of the best examples of effective and interactive dashboards could be the recent COVID-19 dashboards. It is the basis of how we are seeing and measuring the impact of this virus in the world. Various countries and even states or regions have created their own COVID-19 dashboards to make people aware of the 10 BEST DATA SCIENCE PLATFORMS Cloudera. Cloudera is a hugely popular platform optimized for the cloud and enterprise data solutions. It has automatic data pipelines and has support for full Hadoop authentication and encryption. It’s excellent for running the types of sensitive data large corporations often have, allowing Spark queries within a safe environment. TOP MOOCS FOR DATA SCIENCE IN 2020 Last year I wrote an article on this topic and I wanted to update it for the new year—2020. As I teach introductory data science courses at UCLA, I embrace new learning resources with eyes wide open. I’m always looking for quality education options to recommend to mystudents after
LINKEDIN 2021 JOBS REPORT HIGHLIGHTS DATA SCIENCE AND AI To identify these industries, LinkedIn looked at the year-on-year growth rates of over 15,000 job titles from April 2020 to October 2020. They then organized the job titles into larger trends, including up to 25 titles in each category. In this report, a larger variety of industries are identified, including jobs in data science and AI. DATA SCIENCE IN MANUFACTURING: AN OVERVIEW In the last couple of years, data science has seen an immense influx in various industrial applications across the board. Today, we can see data science applied in health care, customer service, governments, cybersecurity, mechanical, aerospace, and other industrial applications. Among these, manufacturing has gained more prominence toachieve a
15 OPEN DATASETS FOR HEALTHCARE OpenfMRI: Other imaging data sets from MRI machines to foster research, better diagnostics, and training. It includes 95 datasets from 3372 subjects with new material being added as researchers make their own data open to the public. CT Medical Images: This one is a small dataset, but it’s specifically cancer-related. 10 NOTABLE FRAMEWORKS FOR NLP TensorFlow remains one of the most popular frameworks for machine and deep learning, but you can translate that power to NLP tasks. Its most famous application, Google Translate, may spawn numerous jokes in the language learning world, but the fact that it gets close is an impressive feat. TensorFlow offers flexible, production-scale SEQUENCE MODELLING WITH DEEP LEARNING This is a short preview post for my upcoming tutorial “Sequence Modelling with Deep Learning” at ODSC London in November 2019. — Much of data is sequential — think speech, text, DNA, stock prices, financial transactions, and customer action histories. Our best-performing methods for modelling sequence data use deep neuralnetworks, usually
HIERARCHICAL BAYESIAN MODELS IN R Hierarchical approaches to statistical modeling are integral to a data scientist’s skill set because hierarchical data is incredibly common. In this article, we’ll go through the advantages of employing hierarchical Bayesian models and go through an exercise building one in R. If you’re unfamiliar with Bayesian modeling, Irecommend following
CREATIVITY INSPIRED ZERO-SHOT LEARNING: CLASSIFYING UNSEENSEE MORE ONOPENDATASCIENCE.COM
OPEN DATA SCIENCE
Leveraging the Advantages of Bayesian Methods to Build a Data Science Product– Korbinian Kuusisto | ODSC Europe 2019. This talk will demonstrate how Bayesian methods can and should be used to build innovative data products. More specifically, it will show how a startup used Bayesian Hierarchical Models and PyMC3 to build anext-generation
10 BEST DATA SCIENCE PLATFORMS Cloudera. Cloudera is a hugely popular platform optimized for the cloud and enterprise data solutions. It has automatic data pipelines and has support for full Hadoop authentication and encryption. It’s excellent for running the types of sensitive data large corporations often have, allowing Spark queries within a safe environment. ODSC WEST 2021 SPEAKERS: SEE THE FIRST GROUP ANNOUNCED 12 hours ago · This November, ODSC will be returning to in-person conferences with ODSC West 2021, November 16th-18th in San Francisco. This year we will be introducing an all-new format: the hybrid conference. Not only will we have in-person talks, workshops, and training sessions, we will also have virtual sessions. Although wehave
FACEBOOK'S PROPHET FORECASTING CRYSTAL BALL Facebook’s Prophet is one of the most-liked forecasting approaches nowadays. Its usage is very well described, the code itself cleanly documented, hence instead of giving examples of Facebook’s Prophet, we will look under the hood to understand where these Bayesian model novelties lie. The Model The second you hear the DATA INGESTION: REPURPOSING BINARY SERIALIZED DATA STRUCTURES 1 day ago · There are a great many binary formats that data might live in. Everything very popular has grown good open-source libraries, but you may encounter some legacy or in-house format for which this is not true. Good general advice is that unless there is an DATA SCIENCE MATURITY: THE CONTINUED PATH IN 2021 2020 was a real outlier in data terms. None of us could have predicted most of the year’s trends and developments. I spend a lot of time engaging with organizations to help them use data science and AI to improve their business and create value. In 2020, many of them DATA INGESTION ARCHIVES 1 day ago · There are a great many binary formats that data might live in. Everything very popular has grown good open-source libraries, but you may encounter some legacy or MACHINE LEARNING OPEN DATASETS: 25 OF THE BEST Image Datasets. – Imagenet: Dataset containing over 14 million images available for download in different formats. It also includes API integration and is organized according to the WordNet hierarchy. – Google’s Open Images: 9 million URLs to categorized public images in over 6,000 categories. BUILDING A COVID-19 DASHBOARD WITH TABLEAU Building a COVID-19 Dashboard: One of the best examples of effective and interactive dashboards could be the recent COVID-19 dashboards. It is the basis of how we are seeing and measuring the impact of this virus in the world. Various countries and even states or regions have created their own COVID-19 dashboards to make people aware of the AN INTRODUCTION TO OBJECT ORIENTED DATA SCIENCE IN PYTHON A lot of focus in the data science community is on reducing the complexity and time involved in data gathering, cleaning, and organization. This article discusses how object oriented design techniques from software engineering can be used to reduce coding overhead and create robust, reusable data acquisition and cleaningsystems.
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Stay up-to-date on the latest data science and AI news in the worlds of artificial intelligence, machine learning, deep learning, implementation, and more. 10 BEST DATA SCIENCE PLATFORMS A data science platform can change the way you work. It’s more than just a tool, it’s a way to wrangle data and turn every member of your team into a high performing unit, capable of pivoting and scaling without missing a beat. The right one is transformative to your BUILDING A COVID-19 DASHBOARD WITH TABLEAU We all are experts in telling stories with words and sentences. But, have you ever heard of telling stories with data? This sounds intriguing. Well, it sounded the same for me too. Being able to tell stories with data is a skill that is becoming ever more important inour
TOP MOOCS FOR DATA SCIENCE IN 2020 Last year I wrote an article on this topic and I wanted to update it for the new year—2020. As I teach introductory data science courses at UCLA, I embrace new learning resources with eyes wide open. I’m always looking for quality education options to recommend to mystudents after
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LINKEDIN 2021 JOBS REPORT HIGHLIGHTS DATA SCIENCE AND AI Since March 2020, the US has seen historic job loss as industries collapsed under the stresses of the COVID-19 pandemic. However, not every industry has been affected in the same way. Some industries, in fact, have seen incredible growth. Identifying these industries is particularly important for current job seekers. From its 15 OPEN DATASETS FOR HEALTHCARE Machine Learning is exploding into the world of healthcare. When we talk about the ways ML will revolutionize certain fields, healthcare is always one of the top areas seeing huge strides, thanks to the processing and learning power of machines. There’s a good chance you either are or will soon 10 NOTABLE FRAMEWORKS FOR NLP Natural Language Processing hit its big stride back in 2017 with the introduction of Transformer Architecture from Google. State of the art approaches helped bridge the gap between humans and machines and helped us build bots capable of using human language undetected. It’s an exciting time. You’re going to need HOW TO LOAD BIG DATA FROM SNOWFLAKE IN PYTHON We at Saturn Cloud are dedicated to fast and scalable data science with Python. Often this looks like querying data that resides in cloud storage or a data warehouse, then performing analysis, feature engineering, and machine learning with Python. Snowflake is a scalable cloud data warehouse that is used across HIERARCHICAL BAYESIAN MODELS IN R Hierarchical approaches to statistical modeling are integral to a data scientist’s skill set because hierarchical data is incredibly common. In this article, we’ll go through the advantages of employing hierarchical Bayesian models and go through an exercise building one in R. If you’re unfamiliar with Bayesian modeling, Irecommend following
OPEN DATA SCIENCE
Stay up-to-date on the latest data science and AI news in the worlds of artificial intelligence, machine learning, deep learning, implementation, and more. 10 BEST DATA SCIENCE PLATFORMS A data science platform can change the way you work. It’s more than just a tool, it’s a way to wrangle data and turn every member of your team into a high performing unit, capable of pivoting and scaling without missing a beat. The right one is transformative to your BUILDING A COVID-19 DASHBOARD WITH TABLEAU We all are experts in telling stories with words and sentences. But, have you ever heard of telling stories with data? This sounds intriguing. Well, it sounded the same for me too. Being able to tell stories with data is a skill that is becoming ever more important inour
TOP MOOCS FOR DATA SCIENCE IN 2020 Last year I wrote an article on this topic and I wanted to update it for the new year—2020. As I teach introductory data science courses at UCLA, I embrace new learning resources with eyes wide open. I’m always looking for quality education options to recommend to mystudents after
LINEAR REGRESSION MODELS: YOUR GUIDE TO GETTING STARTEDSEE MORE ONOPENDATASCIENCE.COM
LINKEDIN 2021 JOBS REPORT HIGHLIGHTS DATA SCIENCE AND AI Since March 2020, the US has seen historic job loss as industries collapsed under the stresses of the COVID-19 pandemic. However, not every industry has been affected in the same way. Some industries, in fact, have seen incredible growth. Identifying these industries is particularly important for current job seekers. From its 15 OPEN DATASETS FOR HEALTHCARE Machine Learning is exploding into the world of healthcare. When we talk about the ways ML will revolutionize certain fields, healthcare is always one of the top areas seeing huge strides, thanks to the processing and learning power of machines. There’s a good chance you either are or will soon 10 NOTABLE FRAMEWORKS FOR NLP Natural Language Processing hit its big stride back in 2017 with the introduction of Transformer Architecture from Google. State of the art approaches helped bridge the gap between humans and machines and helped us build bots capable of using human language undetected. It’s an exciting time. You’re going to need HOW TO LOAD BIG DATA FROM SNOWFLAKE IN PYTHON We at Saturn Cloud are dedicated to fast and scalable data science with Python. Often this looks like querying data that resides in cloud storage or a data warehouse, then performing analysis, feature engineering, and machine learning with Python. Snowflake is a scalable cloud data warehouse that is used across HIERARCHICAL BAYESIAN MODELS IN R Hierarchical approaches to statistical modeling are integral to a data scientist’s skill set because hierarchical data is incredibly common. In this article, we’ll go through the advantages of employing hierarchical Bayesian models and go through an exercise building one in R. If you’re unfamiliar with Bayesian modeling, Irecommend following
DATA INGESTION ARCHIVES 17 hours ago · There are a great many binary formats that data might live in. Everything very popular has grown good open-source libraries, but you may encounter some legacy or FACEBOOK'S PROPHET FORECASTING CRYSTAL BALL 1 day ago · Facebook’s Prophet is one of the most-liked forecasting approaches nowadays. Its usage is very well described, the code itself cleanly documented, hence instead of giving examples of Facebook’s Prophet, we will look under the hood to understand where these Bayesian model novelties lie. The Model The second you hear the DATA INGESTION: REPURPOSING BINARY SERIALIZED DATA STRUCTURES 17 hours ago · There are a great many binary formats that data might live in. Everything very popular has grown good open-source libraries, but you may encounter some legacy or in-house format for which this is not true. Good general advice is that unless there is an MACHINE LEARNING OPEN DATASETS: 25 OF THE BEST Your machine learning program is only as good as your training sets. Data sets are an integral part of the quality of your machine learning, but you may not always have access to data behind closed walls or the budget to purchase (or rent) the key. Don’t despair.There are
DATA SCIENCE IN MANUFACTURING: AN OVERVIEW In the last couple of years, data science has seen an immense influx in various industrial applications across the board. Today, we can see data science applied in health care, customer service, governments, cybersecurity, mechanical, aerospace, and other industrial applications. Among these, manufacturing has gained more prominence toachieve a
PROPHET ARCHIVES
1 day ago · Facebook’s Prophet is one of the most-liked forecasting approaches nowadays. Its usage is very well described, the code itself cleanly documented, hence instead of giving examples of Facebook’s Prophet, we will look under the hood to understand where these Bayesian model novelties lie. 10 NOTABLE FRAMEWORKS FOR NLP Natural Language Processing hit its big stride back in 2017 with the introduction of Transformer Architecture from Google. State of the art approaches helped bridge the gap between humans and machines and helped us build bots capable of using human language undetected. It’s an exciting time. You’re going to need SUPERVISED LEARNING USE CASES, ADVANTAGES, AND DISADVANTAGES Analyzing and classifying data is often tedious work for many data scientists when there are massive amounts of data. It even consumes most of their time and decreases their efficiency. Data scientists need to be smart, use cutting edge technologies, take calculated risks, and find out meaningful insights via supervised INTRODUCTION TO GPT-3 In this article, my goal is to get you up to speed with the GPT-3 phenomenon by offering a brief historical timeline of major results over the past few years, pointing you to several seminal papers, and sharing a few caveats associated with the technology. Natural Language Processing (NLP) has CREATIVITY INSPIRED ZERO-SHOT LEARNING: CLASSIFYING UNSEEN Zero-shot learning (ZSL) aims at understanding unseen categories with no training examples from class-level descriptions. To improve the discriminative power of zero-shot learning, we model the visual learning process of unseen categories with inspiration from the psychology of human creativity for producing novel art. We relate ZSLto human creativity
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Leveraging the Advantages of Bayesian Methods to Build a Data Science Product– Korbinian Kuusisto | ODSC Europe 2019. This talk will demonstrate how Bayesian methods can and should be used to build innovative data products. More specifically, it will show how a startup used Bayesian Hierarchical Models and PyMC3 to build anext-generation
MACHINE LEARNING OPEN DATASETS: 25 OF THE BESTSEE MORE ON OPENDATASCIENCE.COMMACHINE LEARNING DATA SETSMACHINE LEARNING TRAINING DATA SETMICROSOFT MACHINE LEARNING OPEN SOURCEMACHINE LEARNING SAMPLE DATAMACHINE LEARNING SAMPLE DATA SETSMACHINE LEARNING TEST DATA 10 BEST DATA SCIENCE PLATFORMS Cloudera. Cloudera is a hugely popular platform optimized for the cloud and enterprise data solutions. It has automatic data pipelines and has support for full Hadoop authentication and encryption. It’s excellent for running the types of sensitive data large corporations often have, allowing Spark queries within a safe environment. TOP MOOCS FOR DATA SCIENCE IN 2020 Last year I wrote an article on this topic and I wanted to update it for the new year—2020. As I teach introductory data science courses at UCLA, I embrace new learning resources with eyes wide open. I’m always looking for quality education options to recommend to mystudents after
DATA SCIENCE IN MANUFACTURING: AN OVERVIEW In the last couple of years, data science has seen an immense influx in various industrial applications across the board. Today, we can see data science applied in health care, customer service, governments, cybersecurity, mechanical, aerospace, and other industrial applications. Among these, manufacturing has gained more prominence toachieve a
LINKEDIN 2021 JOBS REPORT HIGHLIGHTS DATA SCIENCE AND AILINKEDIN EMERGING JOBS REPORTLINKEDIN 2020 EMERGING JOBS REPORTLINKEDIN IN JOBSLINKEDIN SKILLS REPORTLINKEDIN JOB OPPORTUNITIES To identify these industries, LinkedIn looked at the year-on-year growth rates of over 15,000 job titles from April 2020 to October 2020. They then organized the job titles into larger trends, including up to 25 titles in each category. In this report, a larger variety of industries are identified, including jobs in data science and AI. 15 OPEN DATASETS FOR HEALTHCARE OpenfMRI: Other imaging data sets from MRI machines to foster research, better diagnostics, and training. It includes 95 datasets from 3372 subjects with new material being added as researchers make their own data open to the public. CT Medical Images: This one is a small dataset, but it’s specifically cancer-related. 10 NOTABLE FRAMEWORKS FOR NLP TensorFlow remains one of the most popular frameworks for machine and deep learning, but you can translate that power to NLP tasks. Its most famous application, Google Translate, may spawn numerous jokes in the language learning world, but the fact that it gets close is an impressive feat. TensorFlow offers flexible, production-scale HIERARCHICAL BAYESIAN MODELS IN R Hierarchical approaches to statistical modeling are integral to a data scientist’s skill set because hierarchical data is incredibly common. In this article, we’ll go through the advantages of employing hierarchical Bayesian models and go through an exercise building one in R. If you’re unfamiliar with Bayesian modeling, Irecommend following
IDENTIFYING HATE SPEECH One cool aspect of the company’s site is the repository of free data sets, one of which concerns hate speech on Twitter. The hate speech identification dataset contains nearly 15 thousand rows with three contributor judgments per tweet. Each contributor analyzed the tweet and said whether it contained hate speech, was offensive but withoutOPEN DATA SCIENCE
Leveraging the Advantages of Bayesian Methods to Build a Data Science Product– Korbinian Kuusisto | ODSC Europe 2019. This talk will demonstrate how Bayesian methods can and should be used to build innovative data products. More specifically, it will show how a startup used Bayesian Hierarchical Models and PyMC3 to build anext-generation
MACHINE LEARNING OPEN DATASETS: 25 OF THE BESTSEE MORE ON OPENDATASCIENCE.COMMACHINE LEARNING DATA SETSMACHINE LEARNING TRAINING DATA SETMICROSOFT MACHINE LEARNING OPEN SOURCEMACHINE LEARNING SAMPLE DATAMACHINE LEARNING SAMPLE DATA SETSMACHINE LEARNING TEST DATA 10 BEST DATA SCIENCE PLATFORMS Cloudera. Cloudera is a hugely popular platform optimized for the cloud and enterprise data solutions. It has automatic data pipelines and has support for full Hadoop authentication and encryption. It’s excellent for running the types of sensitive data large corporations often have, allowing Spark queries within a safe environment. TOP MOOCS FOR DATA SCIENCE IN 2020 Last year I wrote an article on this topic and I wanted to update it for the new year—2020. As I teach introductory data science courses at UCLA, I embrace new learning resources with eyes wide open. I’m always looking for quality education options to recommend to mystudents after
DATA SCIENCE IN MANUFACTURING: AN OVERVIEW In the last couple of years, data science has seen an immense influx in various industrial applications across the board. Today, we can see data science applied in health care, customer service, governments, cybersecurity, mechanical, aerospace, and other industrial applications. Among these, manufacturing has gained more prominence toachieve a
LINKEDIN 2021 JOBS REPORT HIGHLIGHTS DATA SCIENCE AND AILINKEDIN EMERGING JOBS REPORTLINKEDIN 2020 EMERGING JOBS REPORTLINKEDIN IN JOBSLINKEDIN SKILLS REPORTLINKEDIN JOB OPPORTUNITIES To identify these industries, LinkedIn looked at the year-on-year growth rates of over 15,000 job titles from April 2020 to October 2020. They then organized the job titles into larger trends, including up to 25 titles in each category. In this report, a larger variety of industries are identified, including jobs in data science and AI. 15 OPEN DATASETS FOR HEALTHCARE OpenfMRI: Other imaging data sets from MRI machines to foster research, better diagnostics, and training. It includes 95 datasets from 3372 subjects with new material being added as researchers make their own data open to the public. CT Medical Images: This one is a small dataset, but it’s specifically cancer-related. 10 NOTABLE FRAMEWORKS FOR NLP TensorFlow remains one of the most popular frameworks for machine and deep learning, but you can translate that power to NLP tasks. Its most famous application, Google Translate, may spawn numerous jokes in the language learning world, but the fact that it gets close is an impressive feat. TensorFlow offers flexible, production-scale HIERARCHICAL BAYESIAN MODELS IN R Hierarchical approaches to statistical modeling are integral to a data scientist’s skill set because hierarchical data is incredibly common. In this article, we’ll go through the advantages of employing hierarchical Bayesian models and go through an exercise building one in R. If you’re unfamiliar with Bayesian modeling, Irecommend following
IDENTIFYING HATE SPEECH One cool aspect of the company’s site is the repository of free data sets, one of which concerns hate speech on Twitter. The hate speech identification dataset contains nearly 15 thousand rows with three contributor judgments per tweet. Each contributor analyzed the tweet and said whether it contained hate speech, was offensive but without AI+ LIVE DATA SCIENCE TRAINING COMING THIS JUNE TO THE AI+ June is already here (how on Earth did that happen?) and things are heating up, both in temperature and in the field of data science. This month brings in some interesting new live and on-demand training sessions to Ai+ Training.Subscribers to Ai+ Training will get immediate access to on-demand sessions and exclusive discounts to virtual live data science training sessions. 15 OPEN DATASETS FOR HEALTHCARE OpenfMRI: Other imaging data sets from MRI machines to foster research, better diagnostics, and training. It includes 95 datasets from 3372 subjects with new material being added as researchers make their own data open to the public. CT Medical Images: This one is a small dataset, but it’s specifically cancer-related. LEARN ABOUT QUANT FINANCE IN AI AT ODSC EUROPE WITH THESE Recent advances in machine learning have proved to be particularly beneficial in the financial sector, helping organizations avoid loss through fraud detection and streamline their processes. To learn more about how machine learning is transforming the financial industry, check out the below ODSC Europe talks on quant finance in AI. BUILDING A COVID-19 DASHBOARD WITH TABLEAU We all are experts in telling stories with words and sentences. But, have you ever heard of telling stories with data? This sounds intriguing. Well, it sounded the same for me too. Being able to tell stories with data is a skill that is becoming ever more important inour
USES OF AI IN FINANCE IN 2020 AI is becoming increasingly important to the finance industry. Over the past several years, companies in the financial sphere have been integrating AI into their businesses in exciting and innovative ways. Below are just a few examples of how some companies are utilizing AI to improve processes, products, services, and JOBS OPENDATASCIENCE This is a post on behalf of the AI+ Hiring Partner. Apply with Job ID # 100070 Our Ai+ Hiring Partner startup company seeking a Data Engineering Intern to help build out a greenfield SaaS platform that delivers human capital data to sports executives. MODELING DECISION TREES Decision trees (DTs) are one of the most popular algorithms in machine learning: they are easy to visualize, highly interpretable, super flexible, and can be applied to both classification and regression problems. DTs predict the value of a target variable by learning simple decision rules inferred from the data features. AN INTRODUCTION TO OBJECT ORIENTED DATA SCIENCE IN PYTHON A lot of focus in the data science community is on reducing the complexity and time involved in data gathering, cleaning, and organization. This article discusses how object oriented design techniques from software engineering can be used to reduce coding overhead and create robust, reusable data acquisition and cleaningsystems.
IMPLEMENTING A KERNEL PRINCIPAL COMPONENT ANALYSIS IN PYTHON In this article, we discuss implementing a kernel Principal Component Analysis in Python, with a few examples. Many machine learning algorithms make assumptions about the linear separability of the input data. The perceptron even requires perfectly linearly separable training data to converge. Other algorithms that we have covered sofar
SENTIMENT ANALYSIS IN R MADE SIMPLE Sentiment analysis is located at the heart of natural language processing, text mining/analytics, and computational linguistics.It refers to any measurement technique by which subjective information is extracted from textual documents. In other words, it extracts the polarity of the expressed sentiment in a range spanning from positiveto negative.
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NLP, as with many other topics within data science, involves many skills, tools, languages, frameworks, and more. The ODSC...Modeling posted by
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Insights posted by ODSC Team __Mar 25, 2020 Career fairs that cater to one specific field are excellent for networking. You can build a list of companies... Business & ManagementView all
VALIDATING AI & MACHINE LEARNING MODELS—LESSONS LEARNED FROM THEBANKING INDUSTRY
Sectors that deal with sensitive data are very familiar with compliance standards that require transparency. If you request a... East 2019 Business +Management posted
by Elizabeth Wallace, ODSC__Apr 16, 2020
Sectors that deal with sensitive data are very familiar with compliance standards that require transparency. If you request a... DATA-DRIVEN INTERVIEWING: HIRING A DATA SCIENTISTCareer Hiring
Business + Managementposted by ODSC
Community __Apr 14,2020
In its eight years of working with hiring teams, Insight has seen its Fellows go through thousands of interviews.... DATA SCIENCE FOR HEALTH AND WELLNESS data science for healthHealthcare
Business + Managementposted by
Elizabeth Wallace, ODSC__Apr 13, 2020
As artificial intelligence continues to transform the area of health and wellness, companies are looking for solutions to bring...About us
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