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Artificial Intelligence Programming with Python: From Zero to Hero / Perry Xiao
NJ : Wiley, 2022
xxix, 681 pages : illustrations (chiefly color) ; 29 cm.
Ký hiệu phân loại (DDC): 005.133
The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks.
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2
Genetic algorithms and machine learning for programmers : create AI models and evolve solutions / Frances Buontempo
[Raleigh, North Carolina] : The Pragmatic Bookshelf, 2019
234 pages. : illustrations ; cm.
Ký hiệu phân loại (DDC): 005.1
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you.
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Machine learning applications using Python : cases studies from healthcare, retail, and finance / Puneet Mathur
[New York, New York] : Apress, 2019
384 pages. : illustrations ; cm.
Ký hiệu phân loại (DDC): 006.3
Machine Learning Applications Using Python is divided into three sections, one for each of the domains (healthcare, finance, and retail). Each section starts with an overview of machine learning and key technological advancements in that domain. You’ll then learn more by using case studies on how organizations are changing the game in their chosen markets. This book has practical case studies with Python code and domain-specific innovative ideas for monetizing machine learning.
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4
Practical Python AI projects : Mathematical models of optimization problems with Google OR-tools / Sergei Kruk
Berkeley : Apress, 2018
xiii, 279 pages : illustrations ; 24 cm.
Ký hiệu phân loại (DDC): 005.133
This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models, and pure linear integer models. Rather than focus on theory, Practical Python AI Projects, the product of the author's decades of industry teaching and consulting, stresses the model creation aspect; contrasting alternate approaches and practical variations. Each model is explained thoroughly and written to be executed.
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