deep learning computer vision python books

Machine Learning Engineering - by Andriy Burkov (Paperback)

Learn Blockchain by Building One - by Daniel Van Flymen (Paperback)

Learning Opentelemetry - by Ted Young & Austin Parker (Paperback)

Grokking Machine Learning, Second Edition - by Luis Serrano (Paperback)

Building Neural Networks from Scratch with Python - by L D Knowings (Paperback)

Effective Machine Learning Teams - by David Tan & Ada Leung & David Colls (Paperback)

Murach's Python for Data Analysis - by Scott McCoy (Paperback)

Blueprints for Text Analytics Using Python - by Jens Albrecht & Sidharth Ramachandran & Christian Winkler (Paperback)

AI and Machine Learning for On-Device Development - by Laurence Moroney (Paperback)

Software Design for Python Programmers - by Ronald Mak (Paperback)

MATLAB Machine Learning Recipes - 3rd Edition by Michael Paluszek & Stephanie Thomas (Paperback)

Powerful Python - by Aaron Maxwell (Paperback)

Python for SAS Users - by Randy Betancourt & Sarah Chen (Paperback)

Build Python Web Apps with Streamlit - by Aneev Kochakadan (Paperback)

Programmed Visions - (Software Studies) by Wendy Hui Kyong Chun (Paperback)

Powershell and Python Together - by Chet Hosmer (Paperback)

Learning Malware Analysis - by Monnappa K a (Paperback)

Convex Optimization for Machine Learning - by Changho Suh (Hardcover)

Windows 7 Made Simple - by Kevin Otnes & Msl Made Simple Learning (Paperback)

Web Scraping with Python - 3rd Edition by Ryan Mitchell (Paperback)

Machine Learning Platform Engineering - (From Scratch) by Benjamin Tan Wei Hao & Shanoop Padmanabhan & Varun Mallya (Paperback)

Python in Excel Step-By-Step - by David Langer (Paperback)

Scaling Machine Learning with Spark - by Adi Polak (Paperback)

Python Scripting for ArcGIS Pro - (Hardcover)