Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)
Friday, 06 March 2020

Beginning with an introduction to AI, machine learning, deep learning, NLP, and reinforcement learning, Oswald Campesato  covers machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. The book also covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. Keras-based code samples are included to supplement the theoretical discussion and has appendices for Keras, TensorFlow 2, and Pandas.

 

Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
Audience: Developers interested in machine learning
Level: Introductory/Intermediate
Category: Artificial Intelligence

 

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


The Reign of Botnets (Wiley)

Author: David Sénécal
Publisher: Wiley
Date: July 2024
Pages: 356
ISBN: 978-1394262410
Print: 1394262418
Kindle: B0D1CJR212
Audience: General
Rating: 5
Reviewer: Kay Ewbank

This book is subtitled 'Defending against Abuses, Bots and Fraud on the Internet', which is a big and important topic. 



Code: The Hidden Language of Computer Hardware and Software 2nd Ed

Top Book 2023
Author: Charles Petzold
Publisher: Microsoft Press
Date: August 2022
Pages: 480
ISBN: 978-0137909100
Print: 0137909101
Kindle: B0B123P5GV
Audience: General
Rating: 5
Reviewer: Mike James
Code! We all need to know about it.


More Reviews