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TUTORIALS, OVERVIEWS The NLP Index is a brand new resource for NLP code discovery, combining and indexing more than 3,000 paper and code pairs at launch. If you are interested in NLP research and locating the code and papers needed to understand an implement the latest research, you should check it out. Tags: Datasets, NLP, Research. INTRODUCTION TO THE K-NEAREST NEIGHBOUR ALGORITHM USING By Ranvir Singh, Open-source Enthusiast. KNN also known as K-nearest neighbour is a supervised and pattern classification learning algorithm which helps us find which class the new input (test value) belongs to when k nearest neighbours are chosen and distance is calculated between them. It attempts to estimate the conditionaldistribution of Y
MACHINE LEARNING 101: THE WHAT, WHY, AND HOW OF WEIGHTINGSEE MORE ON KDNUGGETS.COMMACHINE LEARNING WHAT IS LOSSLEARNING POOLING WEIGHTS MACHINE LEARNINGWHAT ARE WEIGHT MACHINES CALLEDWHAT IS MACHINE LEARNING MODELWHAT MACHINE LEARNING CAN DO STOCK MARKET FORECASTING USING TIME SERIES ANALYSIS Stock market. A stock or share (also known as a company’s “ equity ”) is a financial instrument that represents ownership in a company or corporation and represents a proportionate claim on its assets (what it owns) and earnings (what it generates in profits). — Investopedia. The stock market is a market that enables the seamless A BEGINNER’S GUIDE TO LINEAR REGRESSION IN PYTHON WITH The term “linearity” in algebra refers to a linear relationship between two or more variables. If we draw this relationship in a two-dimensional space (between two variables), we get a straight line. Linear regression performs the task to predict a dependent variable value (y) based on a given independent variable (x). AUDIO DATA ANALYSIS USING DEEP LEARNING WITH PYTHON (PARTSEE MORE ONKDNUGGETS.COM
THE BEST AND WORST DATA VISUALIZATIONS OF 2018 The Best and Worst Data Visualizations of 2018. We reflect on some of the best examples of Data Visualization throughout 2018, before focussing on some of the not-so-good and how these can be improved. of data science for kids. or 50% off hardcopy. By Dan Clark, KDnuggets. HOW TO SELECT ROWS AND COLUMNS IN PANDAS USING , .LOC Selecting columns using "select_dtypes" and "filter" methods. To select columns using select_dtypes method, you should first find out the number of columns for each data types. In this example, there are 11 columns that are float and one column that is an integer. To select only the float columns, use wine_df.select_dtypes (include =) .
DATA SCIENTISTS AUTOMATED AND UNEMPLOYED BY 2025? 51% of voters expect this to happen in 10 years or less - see results below. At the same time about a quarter expect this to happen in over 50 years or never. When will most expert-level Predictive Analytics/Data Science tasks - currently done by human Data Scientists - be automated: Now (it already happened) (13) 5.1%. MACHINE LEARNING, DATA SCIENCE, BIG DATA, ANALYTICS, AIBLOG/NEWSOPINIONSTUTORIALSTOP STORIESCOMPANIESCOURSES 6 Business Trends Benefiting Data Scientists. How to pitch to VCs, explained: The Deck We Used to Raise Capital For Our Open-Source ELT Platform. Prepare for careers in today's data-driven world. Data Science Salon: Media, Advertising, and Entertainment. Save 20% w. codeKDNuggets.
TUTORIALS, OVERVIEWS The NLP Index is a brand new resource for NLP code discovery, combining and indexing more than 3,000 paper and code pairs at launch. If you are interested in NLP research and locating the code and papers needed to understand an implement the latest research, you should check it out. Tags: Datasets, NLP, Research. INTRODUCTION TO THE K-NEAREST NEIGHBOUR ALGORITHM USING By Ranvir Singh, Open-source Enthusiast. KNN also known as K-nearest neighbour is a supervised and pattern classification learning algorithm which helps us find which class the new input (test value) belongs to when k nearest neighbours are chosen and distance is calculated between them. It attempts to estimate the conditionaldistribution of Y
MACHINE LEARNING 101: THE WHAT, WHY, AND HOW OF WEIGHTINGSEE MORE ON KDNUGGETS.COMMACHINE LEARNING WHAT IS LOSSLEARNING POOLING WEIGHTS MACHINE LEARNINGWHAT ARE WEIGHT MACHINES CALLEDWHAT IS MACHINE LEARNING MODELWHAT MACHINE LEARNING CAN DO STOCK MARKET FORECASTING USING TIME SERIES ANALYSIS Stock market. A stock or share (also known as a company’s “ equity ”) is a financial instrument that represents ownership in a company or corporation and represents a proportionate claim on its assets (what it owns) and earnings (what it generates in profits). — Investopedia. The stock market is a market that enables the seamless A BEGINNER’S GUIDE TO LINEAR REGRESSION IN PYTHON WITH The term “linearity” in algebra refers to a linear relationship between two or more variables. If we draw this relationship in a two-dimensional space (between two variables), we get a straight line. Linear regression performs the task to predict a dependent variable value (y) based on a given independent variable (x). AUDIO DATA ANALYSIS USING DEEP LEARNING WITH PYTHON (PARTSEE MORE ONKDNUGGETS.COM
THE BEST AND WORST DATA VISUALIZATIONS OF 2018 The Best and Worst Data Visualizations of 2018. We reflect on some of the best examples of Data Visualization throughout 2018, before focussing on some of the not-so-good and how these can be improved. of data science for kids. or 50% off hardcopy. By Dan Clark, KDnuggets. HOW TO SELECT ROWS AND COLUMNS IN PANDAS USING , .LOC Selecting columns using "select_dtypes" and "filter" methods. To select columns using select_dtypes method, you should first find out the number of columns for each data types. In this example, there are 11 columns that are float and one column that is an integer. To select only the float columns, use wine_df.select_dtypes (include =) .
DATA SCIENTISTS AUTOMATED AND UNEMPLOYED BY 2025? 51% of voters expect this to happen in 10 years or less - see results below. At the same time about a quarter expect this to happen in over 50 years or never. When will most expert-level Predictive Analytics/Data Science tasks - currently done by human Data Scientists - be automated: Now (it already happened) (13) 5.1%. ANALYTICS, DATA SCIENCE, DATA MINING COMPETITIONS Analytics, Data Mining Competition Platforms. Kaggle, the leading platform for data prediction competitions. CrowdANALYTIX, converts business challenges into analytics competitions. DrivenData: Data Science Competitions for Social Good. Innocentive, mainly focusing on life sciences, but has other interesting competitions. A GUIDE ON HOW TO BECOME A DATA SCIENTIST (STEP BY STEP STEP 1: Choose A Programming Language (Python / R) The first step while starting the Data Science Journey is to get familiar with a programming language. Between the two, Python is the most preferred coding language and is adopted by most Data Scientists. 5 TIPS FOR PICKING AN EDGE AI PLATFORM Edge Analytics isn’t just coding and tools. The different environment outside the datacenter or cloud means a purpose built platform is the best way to deliver consistent results. We discuss 5 different considerations for an edge platform to support your trainingand deployment.
PYCARET 101: AN INTRODUCTION FOR BEGINNERS 1 day ago · By Moez Ali, Founder & Author of PyCaret. PyCaret — An open-source, low-code machine learning library in Python . PyCaret PyCaret is an open-source, low-code machine learning library and end-to-end model management tool built-in Python for automating machine learning workflows.Its ease of use, simplicity, and ability to quickly and efficiently build and deploy end-to-end machine learning 5 DATA SCIENCE OPEN-SOURCE PROJECTS YOU SHOULD CONSIDER As you prepare to interview for a position in data science or are looking to jump to the next level, now is the time to enhance your skills and your resume with by working on rea, open-source projects. Here, we suggest a great selection of projects you can contribute to 5 TASKS TO AUTOMATE WITH PYTHON Conclusion Python is a powerful tool, but the more you learn and practice it, the more efficient and productive you’ll become. It has been my pleasure to share some silly or fun automation tasks with you, and I hope that you found them useful. 10 DEADLY SINS OF MACHINE LEARNING MODEL TRAINING By Sandeep Uttamchandani, Ph.D., Both a Product/Software Builder (VP of Engg) & Leader in operating enterprise-wide Data/AI initiatives (CDO) Photo by Frank Vessia on Unsplash ML model training is the most time-consuming and resource-expensive part of the overall model-building journey. ESSENTIAL MACHINE LEARNING ALGORITHMS: A BEGINNER’S GUIDE Machine Learning as a technology, ensures that our current gadgets and their software get smarter by the day. Here are the algorithms that you ought to know about to understand Machine Learning’s varied and extensive functionalities and their affectivity. HOW TO FINE-TUNE BERT TRANSFORMER WITH SPACY 3 22 hours ago · By Walid Amamou, Founder of UBIAI. Photo by Alina Grubnyak on Unsplash. Since the seminal paper “Attention is all you need” of Vaswani et al, Transformer models have become by far the state of the art in NLP technology. With applications ranging from NER, Text Classification, Question Answering or text generation, the applications of this amazing technology are limitless. HOW TO CREATE AND DEPLOY A SIMPLE SENTIMENT ANALYSIS APP In this article we will create a simple sentiment analysis app using the HuggingFace Transformers library, and deploy it using FastAPI.KDNUGGETS
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