Artificial intelligence programming with Python : from zero to zero / Perry Xiao.
Material type:
TextPublication details: New Jersey : John Wiley & Sons, 2022.Description: xxiv, 681 pages: illustrations; 23 cmContent type: - text
- unmediated
- volume
- 9781119820864
- 006.3 X4 2022
| Item type | Current library | Call number | Status | Barcode | |
|---|---|---|---|---|---|
Books
|
FEU - Cavite Higher Education HED Library | CIR 006.3 X4 2022 (Browse shelf(Opens below)) | Available | HED6715 |
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| CIR 005.8023 G86g 2015 Getting an information security job for dummies / | CIR 005.8076 C3687 2024 ISC2 CISSP certified information systems security professional : official study guide / | CIR 006.3 K28f 2016 Fundamentals of computational intelligence : neural networks, fuzzy systems and evolutionary computation / | CIR 006.3 X4 2022 Artificial intelligence programming with Python : from zero to zero / | CIR 006.312 K84p 2015 Predictive analytics and data mining : concepts and practice with RapidMiner / | CIR 006.6 C73 2017 Computer graphics and visualisation / | CIR 006.6 In89 2015 Introduction to computer graphics : a learning approach / |
Includes index
in English
Introduction -- AI Development Tools -- Machine Learning -- Deep Learning -- Image Classification -- Face Detection and Face Recognition -- Object Detections and Image Segmentations --Pose Detection -- GAN and Neural-Style Transfer -- Natural Language Processing -- Data Analysis -- Advanced AI Computing
" hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. 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. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python "cheat sheet" quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming--including familiarity with variables, arrays, loops, if-else statements, and file input and output--who seeks to understand foundational concepts in AI and AI development" -- WorldCat
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