Tech Book: Data Science from Scratch, Joel Grus

This book is an excellent primer on data science. It builds up concepts from scratch with code examples in Python. Whilst it uses some well-known libraries for utilities, the code that builds on the core Data Science concepts is all included and explained in the book.

I particularly enjoyed the conversational, often humorous style of the book. He gives a short introduction to NoSQL databases, then concludes: “Tomorrow’s flavour of the day might not even exist now, so I can’t do much more than let you know that NoSQL is a thing. So now you know. It’s a thing”. The author doesn’t get too stuck in jargon either – one example is his definition of a greedy algorithm: “… at each step, it chooses the most immediately best option” – perfect.

Some of the main topics covered are:

  • Visualizing Data
  • Gradient Descent
  • Linear Regression
  • Logistic Regression
  • Neural Networks

Having covered the theory, the book extends to a few use cases – natural language processing, network analysis and collaborative filtering.

Four stars

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Filed under Python, Tech Book

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