Python Version

Reading Time [?]

Publication Year

Showing 9 books on Machine Learning and AI

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition

by Sebastian Raschka

Popularity score [?]
Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning w...
Published on : Sept. 20, 2017
Python version: 3
622 pages

Introduction to Machine Learning with Python: A Guide for Data Scientists

by Andreas C. Müller

Popularity score [?]
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Pyth...
Published on : Oct. 21, 2016
Python version: Both
392 pages

Artificial Intelligence with Python

by Prateek Joshi

Popularity score [?]
AI is becoming increasingly relevant in the modern world where the ecosystem is driven by technology and data. AI is used extensively across many fields such as robotics, computer vision, finance, ...
Published on : May 4, 2017
Python version: 3
521 pages

Make Your Own Neural Network

by Tariq Rashid

Popularity score [?]
A step-by-step gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural networks are a key element of deep learning and artificial ...
Published on : March 31, 2016
Python version: 3
222 pages

Machine Learning in Action

by Peter Harrington

Popularity score [?]
Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexibl...
Published on : April 19, 2012
Python version: 2
384 pages

Data Science from Scratch: First Principles with Python

by Joel Grus

Popularity score [?]
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In t...
Published on : April 30, 2015
Python version: 2
330 pages

Python Deep Learning

by Valentino Zocca

Popularity score [?]
This book is for Data Science practitioners as well as aspirants who have a basic foundational understanding of Machine Learning concepts and some programming experience with Python. A mathematical...
Published on : May 4, 2017
Python version: Both
368 pages

Real-World Machine Learning

by Henrik Brink

Popularity score [?]
Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduc...
Published on : Sept. 30, 2016
Python version: 3
264 pages

Mastering Python for Data Science

by Samir Madhavan

Popularity score [?]
Data science is a relatively new knowledge domain which is used by various organizations to make data driven decisions. Data scientists have to wear various hats to work with data and to derive val...
Published on : Aug. 31, 2015
Python version: 2
294 pages