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Learning Machine Learning… with Flashcards
Chris Albon has created and shared a way more cool way to reinforce your machine learning learning (not to be confused with learning reinforcement learning): the flashcard.
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 42 Steps to Mastering Data Science
This post is a collection of 6 separate posts of 7 steps a piece, each for mastering and better understanding a particular data science topic, with topics ranging from data preparation, to machine learning, to SQL databases, to NoSQL and beyond.
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Deep Learning and Neural Networks Primer: Basic Concepts for Beginners
This is a collection of introductory posts which present a basic overview of neural networks and deep learning. Start by learning some key terminology and gaining an understanding through some curated resources. Then look at summarized important research in the field before looking at a pair of concise case studies.
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Comparing Distance Measurements with Python and SciPy
This post introduces five perfectly valid ways of measuring distances between data points. We will also perform simple demonstration and comparison with Python and the SciPy library.
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Data Science Primer: Basic Concepts for Beginners
This collection of concise introductory data science tutorials cover topics including the difference between data mining and statistics, supervised vs. unsupervised learning, and the types of patterns we can mine from data.
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Machine Learning Algorithms: A Concise Technical Overview – Part 1
These short and to-the-point tutorials may provide the assistance you are looking for. Each of these posts concisely covers a single, specific machine learning concept.
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Beautiful Python Visualizations: An Interview with Bryan Van de Ven, Bokeh Core Developer
Read this insightful interview with Bokeh's core developer, Bryan Van de Ven, and gain an understanding of what Bokeh is, when and why you should use it, and what makes Bryan a great fit for helming this project.
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Top Quora Data Science Writers and Their Best Advice, Updated
Get some insight into tips and tricks, the future of the field, career advice, code snippets, and more from the top data science writers on Quora.
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 5 Free Resources for Getting Started with Deep Learning for Natural Language Processing
This is a collection of 5 deep learning for natural language processing resources for the uninitiated, intended to open eyes to what is possible and to the current state of the art at the intersection of NLP and deep learning. It should also provide some idea of where to go next.
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 Machine Learning Applied to Big Data, Explained
Machine learning with Big Data is, in many ways, different than "regular" machine learning. This informative image is helpful in identifying the steps in machine learning with Big Data, and how they fit together into a process of their own.
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42 Steps to Mastering Data Science
5 Free Resources for Getting Started with Deep Learning for Natural Language Processing
Machine Learning Applied to Big Data, Explained