Data Science from Scratch: First Principles with Python
Product ID: 249677387
🐍Python 3.6 updated code
📊Core math & stats focus
📘500 pages of deep dive
BZ$402
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Description
🚀 Code the future: Learn data science from the ground up!
- PYTHON 3 6 READY CODE - Stay current with up-to-date, hands-on Python examples.
- BRIDGE MATH PROGRAMMING - Perfect for millennials craving both analytical rigor and coding fluency.
- COMPREHENSIVE 500 PAGE GUIDE - In-depth coverage from linear algebra to deep learning.
- REAL WORLD ALGORITHMS EXPLAINED - Understand k-NN, Naïve Bayes, neural nets & more by coding them yourself.
- MASTER DATA SCIENCE FUNDAMENTALS - Build your skills from first principles, not just library imports.
Data Science from Scratch: First Principles with Python is a 500-page paperback by Joel Grus, updated for Python 3.6, that teaches data science by implementing algorithms from scratch. It covers essential math, statistics, machine learning models, and practical coding skills, making it ideal for aspiring data scientists who want a deep understanding beyond library usage.
Specifications
| Best Sellers Rank | #5,328 in Books ( See Top 100 in Books ) #2 in Programming Algorithms #5 in Web Programming #5 in Databases & Big Data |
| Customer reviews | 4.5 4.5 out of 5 stars (665) |
| Dimensions | 17.53 x 2.29 x 23.11 cm |
| Edition | 2nd |
| ISBN-10 | 1492041130 |
| ISBN-13 | 978-1492041139 |
| Item weight | 712 g |
| Language | English |
| Print length | 403 pages |
| Publication date | 30 April 2019 |
| Publisher | O′Reilly |
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