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

Do you want to learn Python for data science, but don’t want to take a slow, expensive course? Most courses are just rehashed versions of the excellent free content out there. Here are resources for self-starters to acquire this valuable skill at their own pace! At its heart, data science is about problem solving, exploration, and extracting valuable information from…

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6 Fun Machine Learning Projects for Beginners

In this guide, we’ll be walking through 6 fun machine learning projects for beginners. Projects are some of the best investments of your time. You’ll enjoy learning more, stay motivated, and make faster progress. You see, no amount of theory can replace hands-on practice. Textbooks and lessons can lull you into a false belief of mastery…

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