-
Introduction to Algorithms, fourth edition 4th Edition
-
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series) Second Edition
-
Deep Learning (Adaptive Computation and Machine Learning series)
-
Writing Your Journal Article in Twelve Weeks, Second Edition: A Guide to Academic Publishing Success (Chicago Guides to Writing, Editing, and Publishing) Second Edition
-
Practical Statistics for Data Scientists, 2e: 50+ Essential Concepts Using R and Python
-
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 3rd Edition
-
Deep Learning with Python, Second Edition 2nd Edition
-
A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Seventh Edition and The Standard for Project Management (ENGLISH) Seventh edition
-
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 1st Edition
-
Shifting the Balance: 6 Ways to Bring the Science of Reading into the Balanced Literacy Classroom 1st Edition
-
Foundations for Teaching English Language Learners: Research, Theory, Policy, and Practice Third Edition
-
Clean Code: A Handbook of Agile Software Craftsmanship 1st Edition