The 5 Levels of Machine Learning Iteration


Can you guess the answer to this riddle? If you’ve studied machine learning, you’ve seen this everywhere… If you’re a programmer, you’ve done this a thousand times… If you’ve practiced any skill, this is already second-nature for you… Nope, it’s not overdosing on coffee… It’s… iteration! Yes, iteration as in repeating a set of tasks to achieve a result. Wait, isn’t that just… the dictionary…

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R vs Python for Data Science: Summary of Modern Advances


Recently, some of our readers have been asking us about the best programming language for data science. Immediately, R and Python both come to mind… but which of these two giants to choose? We felt that this was a good time to address this question because we recently watched an excellent presentation on recent advances of…

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Python Machine Learning Tutorial, Scikit-Learn: Wine Snob Edition


In this end-to-end Python machine learning tutorial, you’ll learn how to use Scikit-Learn to build and tune a supervised learning model! We’ll be training and tuning a random forest for wine quality (as judged by wine snobs experts) based on traits like acidity, residual sugar, and alcohol concentration. Before we start, we should state that this guide is meant for beginners…

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Keras Tutorial: The Ultimate Beginner’s Guide to Deep Learning in Python


In this step-by-step Keras tutorial, you’ll learn how to build a convolutional neural network in Python! In fact, we’ll be training a classifier for handwritten digits that boasts over 99% accuracy on the famous MNIST dataset. Before we begin, we should note that this guide is geared toward beginners who are interested in applied deep learning. Our goal is…

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21 Must-Know Machine Learning Interview Questions and Answers


The following machine learning interview questions and answers are broken in 9 major topics, as outlined in our guide to machine learning. Table of Contents The Big Picture Optimization Data Preprocessing Sampling & Splitting Supervised Learning Unsupervised Learning Model Evaluation Ensemble Learning Business Applications For an additional 100 ML interview questions and answers, check out…

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5 Genius Python Deep Learning Libraries


Deep learning is an exciting subfield at the cutting edge of machine learning and artificial intelligence. Deep learning has led to major breakthroughs in exciting subjects just such computer vision, audio processing, and even self-driving cars. In this guide, we’ll be reviewing the essential stack of Python deep learning libraries. These packages support a variety of deep learning architectures such as feed-forward…

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How to Learn Math for Data Science, The Self-Starter Way


Do you need to have a math Ph.D to become a data scientist? Absolutely not! This guide will show you how to learn math for data science and machine learning without taking slow, expensive courses. How much math you’ll do on a daily basis as a data scientist varies a lot depending on your role. Keep reading to find…

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5 Heroic Python NLP Libraries


Natural language processing (NLP) is an exciting field in data science and artificial intelligence that deals with teaching computers how to extract meaning from text. In this guide, we’ll be touring the essential stack of Python NLP libraries. These packages handle a wide range of tasks such as part-of-speech (POS) tagging, sentiment analysis, document classification, topic…

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5 Tasty Python Web Scraping Libraries


Web scraping is a common and effective way of collecting data for projects and for work. In this guide, we’ll be touring the essential stack of Python web scraping libraries. Why only 5 libraries? There are dozens of packages for web scraping out there… but you only need a handful to be able to scrape…

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How to Learn Statistics for Data Science, The Self-Starter Way


Do you want to learn statistics for data science without taking a slow and expensive course? Goods news… You can master the core concepts, probability, Bayesian thinking, and even statistical machine learning using only free online resources. Here are the best resources for self-starters! By the way… you don’t need a math degree to succeed with…

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