deep learning practitioners approach

Explainable AI for Practitioners - by Michael Munn & David Pitman (Paperback)

Learning Opencv - by Gary Bradski & Adrian Kaehler (Paperback)

Learning AI Tools in Tableau - by Ann Jackson (Paperback)

Statistical Foundations of Actuarial Learning and Its Applications - (Springer Actuarial) by Mario V Wüthrich & Michael Merz (Paperback)

Learning Tensorflow.Js - by Gant Laborde (Paperback)

Learning Functional Programming - by Jack Widman (Paperback)

Learning Blazor - by David Pine (Paperback)

Learning Devsecops - by Steve Suehring (Paperback)

Learning SPARQL - 2nd Edition by Bob DuCharme (Paperback)

Learning to Care - 2nd Edition by Ian Peate (Paperback)

Learning Serverless - by Jason Katzer (Paperback)

Language and Learning in Multilingual Classrooms - (Parents' and Teachers' Guides) by Elizabeth Coelho (Paperback)

Learning Helm - by Matt Butcher & Matt Farina & Josh Dolitsky (Paperback)

Building Machine Learning Powered Applications - by Emmanuel Ameisen (Paperback)

Learning Microsoft Power Apps - by Arpit Shrivastava (Paperback)

Algorithms for Reinforcement Learning - (Synthesis Lectures on Artificial Intelligence and Machine Le) by Csaba Szepesvári (Paperback)

Culturally Responsive Teaching and Learning - by Preston LaVigne (Hardcover)

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

How-To Guide for Team-Based Learning - (Iamse Manuals) by Ruth E Levine & Patricia D Hudes (Paperback)

Fundamentals of Vascular Biology - (Learning Materials in Biosciences) 2nd Edition by Margarethe Geiger (Paperback)

Netter Atlas of Human Anatomy: A Systems Approach - 9th Edition by Frank H Netter (Paperback)

Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach - (Hardcover)

Harnessing Automation and Machine Learning for Resource Recovery and Value Creation - (Paperback)

Dermatopathology - (Surgical Pathology: A Case Based Approach to Diagnosis) by Tim McCalmont & Michael Tetzlaff & Erik A Williams & Amar Mirza