The Applied Artificial Intelligence Workshop
更新时间：2021-06-18 18:25:27
最新章节：6. Neural Networks and Deep Learning封面
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Preface
1. Introduction to Artificial Intelligence
Introduction
Fields and Applications of AI
AI Tools and Learning Models
The Role of Python in AI
Python for Game AI
Heuristics
Pathfinding with the A* Algorithm
Introducing the A* Algorithm
Game AI with the Minmax Algorithm and Alpha-Beta Pruning
The Minmax Algorithm
DRYing Up the Minmax Algorithm – the NegaMax Algorithm
Summary
2. An Introduction to Regression
Introduction
Linear Regression with One Variable
Linear Regression with Multiple Variables
Polynomial and Support Vector Regression
Support Vector Regression
Summary
3. An Introduction to Classification
Introduction
The Fundamentals of Classification
Data Preprocessing
The K-Nearest Neighbors Classifier
Classification with Support Vector Machines
Summary
4. An Introduction to Decision Trees
Introduction
Decision Trees
The Confusion Matrix
Random Forest Classifier
Summary
5. Artificial Intelligence: Clustering
Introduction
Defining the Clustering Problem
Clustering Approaches
The K-Means Algorithm
The Mean Shift Algorithm
Clustering Performance Evaluation
Summary
6. Neural Networks and Deep Learning
Introduction
Artificial Neurons
Neurons in TensorFlow
Neural Network Architecture
Activation Functions
Forward Propagation and the Loss Function
Backpropagation
Optimizers and the Learning Rate
Regularization
Deep Learning
Computer Vision and Image Classification
Recurrent Neural Networks (RNNs)
Summary
Appendix
1. Introduction to Artificial Intelligence
2. An Introduction to Regression
3. An Introduction to Classification
4. An Introduction to Decision Trees
5. Artificial Intelligence: Clustering
6. Neural Networks and Deep Learning
更新时间：2021-06-18 18:25:27