deep learning computer vision python books

Deep Generative Modeling - 2nd Edition by Jakub M Tomczak (Hardcover)

Machine Learning and Generative AI for Marketing - by Yoon Hyup Hwang & Nicholas C Burtch (Paperback)

Practicing Trustworthy Machine Learning - by Yada Pruksachatkun & Matthew McAteer & Subho Majumdar (Paperback)

Splunk Certified Study Guide - by Deep Mehta (Paperback)

What Video Games Have to Teach Us About Learning and Literacy. Se - 2nd Edition by James Paul Gee (Paperback)

Top 20 Essential Skills for Python in ArcGIS - by Dave Crawford & Daniel Yaw (Paperback)

Learn Data Mining Through Excel - 2nd Edition by Hong Zhou (Paperback)

Machine Learning for Imbalanced Data - by Kumar Abhishek & Mounir Abdelaziz (Paperback)

Building Quantum Software in Python - by Constantin Gonciulea & Charlee Stefanski (Paperback)

Python Programming - by Bryan Johnson (Hardcover)

Extending Excel with Python and R - by Steven Sanderson & David Kun (Paperback)

Statistical Analysis with Python for Dummies - by Joseph Schmuller (Paperback)

Python for non-Pythonians - by Francesco Grossetti & Gaia Rubera (Paperback)

Simulation with Python - by Rongpeng Li & Aiichiro Nakano (Paperback)

Learning Modern C++ for Finance - by Daniel Hanson (Paperback)

Scaling Python with Dask - by Holden Karau & Mika Kimmins (Paperback)

Databricks Certified Associate Developer for Apache Spark Using Python - by Saba Shah (Paperback)

Coding for Beginners and Kids Using Python - by Bob Mather (Paperback)

The Blender Python API - by Chris Conlan (Paperback)

Learning Chef - by Mischa Taylor & Seth Vargo (Paperback)

Numerical Methods with Python - (De Gruyter Textbook) by William Miles (Paperback)

Behind Deep Blue - by Feng-Hsiung Hsu (Paperback)

The Hitchhiker's Guide to Python - by Kenneth Reitz & Tanya Schlusser (Paperback)

Applied Data Science with Python and Jupyter - by Alex Galea (Paperback)