Bog'liq Python Artificial Intelligence Projects for Beginners - Get up and running with 8 smart and exciting AI applications by Joshua Eckroth (z-lib.org)
Preface 1
Chapter 1: Building Your Own Prediction Models 5
Classification overview and evaluation techniques 6
Evaluation
7
Decision trees 10
Common APIs for scikit-learn classifiers 14
Prediction involving decision trees and student performance data 15
Summary 23
Chapter 2: Prediction with Random Forests 24
Random forests 24
Usage of random forest
26
Predicting bird species with random forests 26
Making a confusion matrix for the data
35
Summary 45
Chapter 3: Applications for Comment Classification 46
Text classification 47
Machine learning techniques
48
Bag of words
49
Detecting YouTube comment spam 51
Word2Vec models 63
Doc2Vec
65
Document vector
66
Detecting positive or negative sentiments in user reviews 67
Summary 76
Chapter 4: Neural Networks 77
Understanding neural networks 77
Feed-forward neural networks
80
Identifying the genre of a song with neural networks 84
Revising the spam detector to use neural networks 95
Summary 103
Chapter 5: Deep Learning 104