aws machine learning certification practice exam

Why Machines Learn - by Anil Ananthaswamy

Applied Machine Learning Explainability Techniques - by Aditya Bhattacharya (Paperback)

Machine Learning Pocket Reference - by Matt Harrison (Paperback)

Applied Machine Learning and AI for Engineers - by Jeff Prosise (Paperback)

Machine Learning, Natural Language Processing, and Psychometrics - (Marces Book) by Hong Jiao & Robert W Lissitz (Paperback)

Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)

Privacy-Preserving Machine Learning - by Srinivasa Rao Aravilli (Paperback)

Reliable Machine Learning - by Cathy Chen & Niall Richard Murphy & Kranti Parisa & D Sculley & Todd Underwood (Paperback)

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

Machine Learning - by Zhi-Hua Zhou (Paperback)

Pattern Recognition and Machine Learning - (Information Science and Statistics) by Christopher M Bishop (Hardcover)

Python Machine Learning - Second Edition - 2nd Edition by Sebastian Raschka & Vahid Mirjalili (Paperback)

Machine Learning Concepts with Python and the Jupyter Notebook Environment - by Nikita Silaparasetty (Paperback)

Adversarial Robustness for Machine Learning - by Pin-Yu Chen & Cho-Jui Hsieh (Paperback)

Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)

Artificial Intelligence, Machine Learning, and Deep Learning - by Oswald Campesato (Paperback)

Machine Learning for Time Series Forecasting with Python - by Francesca Lazzeri (Paperback)

Machine Learning with SAS Viya - (Paperback)

Machine Learning for Hackers - by Drew Conway & John Myles White (Paperback)

Data-Centric Machine Learning with Python - by Jonas Christensen & Nakul Bajaj & Manmohan Gosada (Paperback)

Machine Learning for Economics and Finance in Tensorflow 2 - by Isaiah Hull (Paperback)

The Machine Learning Solutions Architect Handbook - Second Edition - by David Ping (Paperback)

Hands-On Machine Learning with C++ - Second Edition - 2nd Edition by Kirill Kolodiazhnyi (Paperback)

Source Separation and Machine Learning - by Jen-Tzung Chien (Paperback)