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Python Artificial Intelligence Projects for Beginners : Get up and running with Artificial Intelligence using 8 smart and exciting AI applications / Joshua Eckroth

By: Material type: TextTextPublication details: Mumbai Packt Publishing Ltd. 2018Description: ii, 152p. : ill. ; 25cmISBN:
  • 9781789539462
Subject(s): DDC classification:
  • 23rd Ed. 006.31 ECK
Online resources:
Contents:
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 Other Books You May Enjoy
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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode
Text Book VIT-AP General Stacks 006.31 ECK (Browse shelf(Opens below)) Checked out to Yallanti Sowjanya Kumari (70718) CSE 2025-10-12 024053
Text Book VIT-AP General Stacks 006.31 ECK (Browse shelf(Opens below)) In transit from VIT-AP to School of Computer Science Section since 2025-04-24 CSE 024054
Text Book VIT-AP General Stacks 006.31 ECK (Browse shelf(Opens below)) In transit from VIT-AP to School of Computer Science Section since 2025-04-15 CSE 024055
Text Book VIT-AP General Stacks 006.31 ECK (Browse shelf(Opens below)) Available CSE 024056
Text Book VIT-AP General Stacks 006.31 ECK (Browse shelf(Opens below)) Available CSE 024057
Reference Book VIT-AP Reference Reference 006.31 ECK (Browse shelf(Opens below)) Not for loan CSE 023047

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
Other Books You May Enjoy

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