This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. Nailong Zhang does not cover everything, but rather, teaches the key concepts and topics in data science. The book also covers two of the most popular programming languages used in Data Science, R and Python.
Author: Nailong Zhang
Publisher: Chapman & Hall
Date: November 2020
Category: Data Science
- Allows you to learn R and Python in parallel
- Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools – data.table and pandas
- Provides a concise and accessible presentation
- Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc.
For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.
For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.
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