Mathematical Aspects of Deep Learning (Cambridge University Press)
Friday, 10 February 2023

In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. In this book, Philipp Grohs and Gitta Kutyniok present the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field.

<ASIN:1316516784>

The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics.

Author: Philipp Grohs and Gitta Kutyniok
Publisher: Cambridge University Press
Date: February 2023
Pages: 492
ISBN: 978-1316516782
Print:1316516784
Kindle:B0BMW15BV5
Audience: Developers interested in deep learning
Level: Intermediate/Advanced
Category: Mathematics and Artificial Intelligence

 

mathdeep

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Kill It With Fire

Author: Marianne Bellotti
Publisher: No Starch Press
Pages: 248
ISBN: 978-1718501188
Print: 1718501188
Kindle: B08CTFY4JP
Audience: Developers renovating aging systems
Rating: 4.5
Reviewer: Kay Ewbank

The subtitle of this book is "Manage aging computer systems and future proof modern ones". Thi [ ... ]



Query Store for SQL Server 2019 (Apress)

Author: Tracy Boggiano & Grant Fritchey
Publisher: Apress
Pages: 234
ISBN: 978-1484250037
Print: 1484250036
Kindle: B07YNL3X4X
Audience: SQL Server DBAs and Devs
Rating: 4
Reviewer: Ian Stirk

This book aims to use Query Store to improve your SQL Server queries, how does it fare?


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