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Artificial intelligence programming with Python: from zero to hero

Object category:
Elektronische Ressource
Person/Institution:
Providing institution:
Forschungsbibliothek Gotha
Publisher:
Wiley
Ort:
Hoboken, New Jersey
Date:
[2022]
Language:
Englisch
Abstract:
Cover -- Title Page -- Copyright Page -- About the Author -- About the Technical Editors -- Acknowledgments -- Contents at a Glance -- Contents -- Preface -- Part I Introduction -- Chapter 1 Introduction to AI -- 1.1 What Is AI? -- 1.2 The History of AI -- 1.3 AI Hypes and AI Winters -- 1.4 The Types of AI -- 1.5 Edge AI and Cloud AI -- 1.6 Key Moments of AI -- 1.7 The State of AI -- 1.8 AI Resources -- 1.9 Summary -- 1.10 Chapter Review Questions -- Chapter 2 AI Development Tools -- 2.1 AI Hardware Tools -- 2.2 AI Software Tools -- 2.3 Introduction to Python -- 2.4 Python Development Environments -- 2.4 Getting Started with Python -- 2.5 AI Datasets -- 2.6 Python AI Frameworks -- 2.7 Summary -- 2.8 Chapter Review Questions -- Part II Machine Learning and Deep Learning -- Chapter 3 Machine Learning -- 3.1 Introduction -- 3.2 Supervised Learning: Classifications -- Scikit-Learn Datasets -- Support Vector Machines -- Naive Bayes -- Linear Discriminant Analysis -- Principal Component Analysis -- Decision Tree -- Random Forest -- K-Nearest Neighbors -- Neural Networks -- 3.3 Supervised Learning: Regressions -- 3.4 Unsupervised Learning -- K-means Clustering -- 3.5 Semi-supervised Learning -- 3.6 Reinforcement Learning -- Q-Learning -- 3.7 Ensemble Learning -- 3.8 AutoML -- 3.9 PyCaret -- 3.10 LazyPredict -- 3.11 Summary -- 3.12 Chapter Review Questions -- Chapter 4 Deep Learning -- 4.1 Introduction -- 4.2 Artificial Neural Networks -- 4.3 Convolutional Neural Networks -- 4.3.1 LeNet, AlexNet, GoogLeNet -- 4.3.2 VGG, ResNet, DenseNet, MobileNet, EffecientNet, and YOLO -- 4.3.3 U-Net -- 4.3.4 AutoEncoder -- 4.3.5 Siamese Neural Networks -- 4.3.6 Capsule Networks -- 4.3.7 CNN Layers Visualization -- 4.4 Recurrent Neural Networks -- 4.4.1 Vanilla RNNs -- 4.4.2 Long-Short Term Memory -- 4.4.3 Natural Language Processing and Python Natural Language Toolkit.
Object text:
Perry Xiao
Created:
2023-04-12
Last changed:
2022-11-29
Added to portal:
2023-04-12

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