更新时间：2021-07-23 17:06:17
封面
Title Page
Copyright and Credits
Python Artificial Intelligence Projects for Beginners
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Contributors
About the author
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Preface
Who this book is for
What this book covers
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Download the example code files
Download the color images
Conventions used
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Reviews
Building Your Own Prediction Models
Classification overview and evaluation techniques
Evaluation
Decision trees
Common APIs for scikit-learn classifiers
Prediction involving decision trees and student performance data
Summary
Prediction with Random Forests
Random forests
Usage of random forest
Predicting bird species with random forests
Making a confusion matrix for the data
Applications for Comment Classification
Text classification
Machine learning techniques
Bag of words
Detecting YouTube comment spam
Word2Vec models
Doc2Vec
Document vector
Detecting positive or negative sentiments in user reviews
Neural Networks
Understanding neural networks
Feed-forward neural networks
Identifying the genre of a song with neural networks
Revising the spam detector to use neural networks
Deep Learning
Deep learning methods
Convolutions and pooling
Identifying handwritten mathematical symbols with CNNs
Revisiting the bird species identifier to use images
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