Data Science from Scratch: First Principles with Python

Data Science from Scratch: First Principles with Python

Joel Grus

Data technology libraries, frameworks, modules, and toolkits are nice for doing info technology, yet they’re additionally so that you can dive into the self-discipline with no really figuring out info technology. during this booklet, you’ll learn the way a few of the such a lot basic facts technological know-how instruments and algorithms paintings via imposing them from scratch.

If you may have an inherent ability for arithmetic and a few programming talents, writer Joel Grus may help you get pleased with the maths and records on the middle of information technology, and with hacking talents you must start as an information scientist. Today’s messy glut of information holds solutions to questions no one’s even inspiration to invite. This ebook provide you with the information to dig these solutions out.

  • Get a crash path in Python
  • Learn the fundamentals of linear algebra, data, and probability—and know the way and whilst they are utilized in facts science
  • Collect, discover, fresh, munge, and control data
  • Dive into the basics of laptop learning
  • Implement types comparable to k-nearest friends, Naive Bayes, linear and logistic regression, selection timber, neural networks, and clustering
  • Explore recommender platforms, ordinary language processing, community research, MapReduce, and databases

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