By Joel Grus
Data technological know-how libraries, frameworks, modules, and toolkits are nice for doing facts technology, yet they’re additionally which will dive into the self-discipline with out truly knowing info technological know-how. during this ebook, you’ll find out how the various so much basic facts technological know-how instruments and algorithms paintings through enforcing them from scratch.
If you might have a flair for arithmetic and a few programming talents, writer Joel Grus can help you get happy with the maths and information on the center of knowledge technological know-how, and with hacking abilities you want to start as an information scientist. Today’s messy glut of knowledge holds solutions to questions no one’s even notion to invite. This publication offers you the information to dig these solutions out.
- Get a crash direction in Python
- Learn the fundamentals of linear algebra, facts, and probability—and know the way and whilst they're 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 bushes, neural networks, and clustering
- Explore recommender platforms, usual language processing, community research, MapReduce, and databases
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Data Science from Scratch: First Principles with Python by Joel Grus