AI Crash Course: A fun and hands-on introduction to machine learning, reinforcement learning, deep learning, and artificial intelligence
Offers a comprehensive AI Crash Course authored by Hadelin de Ponteves, with contributions from Jan Warchocki and Kirill Eremenko, and published by Packt Publishing. This hands-on introduction covers various Artificial Intelligence (AI) concepts, including reinforcement learning, deep learning, and artificial neural networks, with practical applications in Python. The book systematically explains core AI principles like Thompson Sampling for decision-making and Q-learning for optimal pathfinding, illustrating them through real-world scenarios such as e-commerce advertising and warehouse logistics. It further explores deep Q-learning for complex problems like self-driving cars and server temperature optimization, culminating in an application of deep convolutional Q-learning for AI in games like Snake. The text emphasizes intuition over pure mathematics and provides a general AI framework along with code examples accessible on GitHub, encouraging readers to practice and apply their newfound AI skills across diverse industries.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summaryGet the Book now from Amazon:https://www.amazon.com/Crash-Course-hands-introduction-reinforcement/dp/1838645357?&linkCode=ll1&tag=cvthunderx-20&linkId=fb128ffc1d4a587069c893167c98db0b&language=en_US&ref_=as_li_ss_tl