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Everything You’ve Ever Wanted to Know About Machine Learning
Putting the fun in fundamentals! A collection of short videos to amuse beginners and experts alike.
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Were 21% of New York City residents really infected with the novel coronavirus?
Understanding the types of statistical bias that pop up in popular media and reporting is especially important during this pandemic where the data -- and our global response to the data -- directly impact peoples' lives.
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What’s the difference between analytics and statistics?
From asking the best questions about data to answering those questions with certainty, understanding the value of these two seemingly different professions is clarified when you see how they should work together.
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The ultimate guide to starting AI
A step-by-step overview of how to begin your project, including advice on how to craft a wise performance metric, setting up testing criteria to overcome human bias, and more.
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Machine learning — Is the emperor wearing clothes?
We take a look at the core concepts of Machine Learning, including the data, algorithm and optimization needed to get you started, with links to additional resources to help enhance your knowledge.
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What on earth is data science?
An overview and discussion around data science, covering the history behind the term, data mining, statistical inference, machine learning, data engineering and more.
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9 Things You Should Know About TensorFlow
A summary of the key points from the Google Cloud Next in San Francisco, "What’s New with TensorFlow?", including neural networks, TensorFlow Lite, data pipelines and more.
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Unsupervised Learning Demystified
Unsupervised learning is a pattern-finding technique for mining inspiration from your data. Let's demystify!
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Chief Decision Engineer, Google Cloud. Love Stats, AI, data, puns, art, sci-fi, theatre, decision science. Twitter: @quaesita.
