Data Science from Scratch: First Principles with Python
Price: $43.55
(as of Nov 22,2024 14:01:25 UTC – Details)
To actually study information science, you shouldn’t solely grasp the instruments—information science libraries, frameworks, modules, and toolkits—but in addition perceive the concepts and ideas underlying them. Updated for Python 3.6, this second version of Data Science from Scratch reveals you the way these instruments and algorithms work by implementing them from scratch.
If you’ve gotten an inherent ability for arithmetic and a few programming abilities, writer Joel Grus will provide help to get snug with the maths and statistics on the core of knowledge science, and with the hacking abilities you’ll want to get began as a knowledge scientist. Packed with New materials on deep studying, statistics, and pure language processing, this up to date e book reveals you how one can discover the gems in right this moment’s messy glut of knowledge.
- Get a crash course in Python
- Learn the fundamentals of linear algebra, statistics, and likelihood—and the way and once they’re utilized in information science
- Collect, discover, clear, munge, and manipulate information
- Dive into the basics of machine studying
- Implement fashions resembling k-nearest neighbors, Naïve Bayes, linear and logistic regression, determination bushes, neural networks, and clustering
- Explore recommender methods, pure language processing, community evaluation, MapReduce, and databases.
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From the Publisher
What You Need to Know about Data Mining and Data-Analytic Thinking
First Principles with Python
Straight Talk from the Frontline
Visualize, Model, Transform, Tidy, and Import Data
Facing the Future with Time-Tested Tools
Tools and Techniques for Developers
O’Reilly
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Publisher:O’Reilly Media; 2nd version (May 16, 2019)
Language:English
Paperback:406 pages
ISBN-10:1492041130
ISBN-13:978-1492041139
Item Weight:1.4 kilos
Dimensions:6.9 x 0.9 x 9.1 inches
