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Showing 15 books on Machine Learning and AI
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

by Aurélien Géron

1.0
Popularity score [?]
The second edition came out recently and immediately became a bestseller in its category. It is impressive in coverage. Classical supervised learning, unsupervised learning, deep learning (CNN, RNN...
Published on : Oct. 15, 2019
Python version: TH
856 pages

Deep Learning with Python

by Francois Chollet

0.9935064935064934
Popularity score [?]
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this bo...
Published on : Dec. 22, 2017
Python version: TH
384 pages

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

by Andreas C. Müller

0.948051948051948
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: BO
400 pages

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

by Sebastian Raschka

0.9045454545454545
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: TH
622 pages

GANs in Action: Deep learning with Generative Adversarial Networks

by Jakub Langr

0.8701298701298701
Popularity score [?]
Seen the Obama DeepFake video? Are you friends posting pictures of their 60 year old self using FaceApp? Heard that computers are now able to paint novel pictures in the style of Van Gogh or create...
Published on : Oct. 8, 2019
Python version: TH
240 pages

Make Your Own Neural Network

by Tariq Rashid

0.860064935064935
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: TH
222 pages

Artificial Intelligence with Python: A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

by Prateek Joshi

0.7922077922077921
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 : Jan. 27, 2017
Python version: TH
446 pages

Data Science from Scratch: First Principles with Python

by Joel Grus

0.749025974025974
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To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated fo...
Published on : May 16, 2019
Python version: TH
406 pages

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

by Chris Albon

0.7227272727272727
Popularity score [?]
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its librari...
Published on : April 1, 2018
Python version: TH
366 pages

Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python

by Santanu Pattanayak

0.6883116883116883
Popularity score [?]
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solu...
Published on : Dec. 7, 2017
Python version: TW
398 pages

Machine Learning in Action

by Peter Harrington

0.6688311688311688
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: TW
384 pages

Real-World Machine Learning

by Henrik Brink

0.6428571428571428
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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: TH
264 pages

Machine Learning with TensorFlow

by Nishant Shukla

0.6318181818181818
Popularity score [?]
Being able to make near-real-time decisions is becoming increasingly crucial. To succeed, we need machine learning systems that can turn massive amounts of data into valuable insights. But when you...
Published on : Feb. 12, 2018
Python version: TH
272 pages

Python Deep Learning: Next generation techniques to revolutionize computer vision, AI, speech and data analysis

by Valentino Zocca

0.5714285714285714
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: BO
368 pages

Mastering Python for Data Science

by Samir Madhavan

0.33896103896103896
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: TW
294 pages