Essentials of Cloud Computing
Ethical and Secure Computing
Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
Ethical and Social Issues in the Information Age
Mathematical Foundations of Data Science
Guide to Java: A Concise Introduction to Programming
Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
Introduction to Online Convex Optimization
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter
Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Introduction to Algorithms
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Understanding Blockchain and Cryptocurrencies: A Primer for Implementing and Developing Blockchain Projects
Probabilistic Machine Learning: An Introduction
Beginning ReactJS Foundations: Building User Interfaces with ReactJS
Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis
Computer Vision: Algorithms and Applications
The Hardware Hacking Handbook: Breaking Embedded Security with Hardware Attacks
Math for Deep Learning: What You Need to Know to Understand Neural Networks
Foundational Python for Data Science
Computer Security and the Internet: Tools and Jewels from Malware to Bitcoin
Algorithms on Trees and Graphs: With Python Code
An Intuitive Exploration of Artificial Intelligence: Theory and Applications of Deep Learning
How Cybersecurity Really Works: A Hands-On Guide for Total Beginners
Fundamentals of Cryptography: Introducing Mathematical and Algorithmic Foundations
Practical IoT Hacking: The Definitive Guide to Attacking the Internet of Things
Understanding the Digital World: What You Need to Know About Computers, the Internet, Privacy, and Security
A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going
Computational Methods for Deep Learning: Theoretic, Practice, and Applications
Artificial Intelligence: A Modern Approach This link opens in a new window
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
Cybercrime Investigations: A Comprehensive Resource for Everyone
Introduction to Machine Learning This link opens in a new window
Guide to Assembly Language: A Concise Introduction
Machine Learning Refined: Foundations, Algorithms, and Applications
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Automate the Boring Stuff with Python: Practical Programming for Total Beginners
Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
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