000			01988nam a22002057a 4500
005			20250315123637.0
008			250313b |||||||| |||| 00| 0 eng d
020			_a9781789539462
040			_cVITAP
082			_223rd Ed. _a006.31 ECK
100			_aEckroth, Joshua _915181
245			_aPython Artificial Intelligence Projects for Beginners : _bGet up and running with Artificial Intelligence using 8 smart and exciting AI applications / _cJoshua Eckroth
260			_aMumbai _bPackt Publishing Ltd. _c2018
300			_aii, 152p. : ill. ; 25cm
500			_aIt includes Index Pages.
505			_aTable 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
650		0	_aPython (Computer program language); Artificial intelligence _915182
856			_uhttps://www.packtpub.com/en-in/product/python-artificial-intelligence-projects-for-beginners-9781789538243#tocBlock
942			_2ddc _cREF _e23rd _h006.31 _mECK
999			_c46425 _d46425