TY  - BOOK
AU  - Eckroth, Joshua
TI  - Python Artificial Intelligence Projects for Beginners: Get up and running with Artificial Intelligence using 8 smart and exciting AI applications 
SN  - 9781789539462
U1  - 006.31 ECK 23rd Ed.
PY  - 2018///
CY  - Mumbai
PB  - Packt Publishing Ltd.
KW  - Python (Computer program language); Artificial intelligence
N1  - It includes Index Pages; Table of Contents
6 Chapters
Building Your Own Prediction Models Chevron down icon
Building Your Own Prediction Models
Classification overview and evaluation techniques
Decision trees
Common APIs for scikit-learn classifiers
Prediction involving decision trees and student performance data
Summary
Prediction with Random Forests Chevron down icon
Prediction with Random Forests
Random forests
Predicting bird species with random forests
Summary
Applications for Comment Classification Chevron down icon
Applications for Comment Classification
Text classification
Detecting YouTube comment spam
Word2Vec models
Detecting positive or negative sentiments in user reviews
Summary
Neural Networks Chevron down icon
Neural Networks
Understanding neural networks
Identifying the genre of a song with neural networks
Revising the spam detector to use neural networks
Summary
Deep Learning Chevron down icon
Deep Learning
Deep learning methods
Identifying handwritten mathematical symbols with CNNs
Revisiting the bird species identifier to use images
Summary
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