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This book is designed to prepare programmers for machine learning and deep learning TensorFlow topics. Author Oswald Campesato begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The book contains an assortment of TensorFlow 1.x code samples, including detailed code samples for TensorFlow Dataset, which is used heavily in TensorFlow 2 as well.
<ASIN:1683923618>
Author: Oswald Campesato
Publisher: Mercury Learning & Information
Date: June 2019
Pages: 200
ISBN: 978-1683923619
Print: 1683923618
Kindle: B07RS49B11
Audience: Python developers interested in TensorFlow
Level: Intermediate
Category: Artificial Intelligence
- A practical introduction to Python, NumPy, Pandas, Matplotlib, and introductory aspects of TensorFlow 1.x
- Contains relevant NumPy/Pandas code samples that are typical in machine learning topics, and also useful TensorFlow 1.x code samples for deep learning/TensorFlow topics
- Includes many examples of TensorFlow Dataset APIs with lazy operators, e.g., map(), filter(), batch(), take() and also method chaining such operators
- Assumes the reader has very limited experience
- Companion files with all of the source code examples (download from the publisher)
For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.
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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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Bare Metal C
Author: Steve Oualline
Publisher: No Starch Press
Date: August 2022
Pages: 304
ISBN: 978-1718501621
Print: 1718501625
Kindle: B08YJB9BCF
Audience: C programmers
Rating: 3
Reviewer: Harry Fairhead
Bare metal C sounds exciting and very basic. Time to find out how the machine really works.
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