PirateBay Download | kumar et al ensemble learning ai developers 2020

kumar et al ensemble learning ai developers 2020

Type:: E-books
Files:: 1
Size:: 3.2 MB
Uploaded On:: June 20, 2020, 8:34 a.m.
Added By:: andryold1
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Info Hash:: 5FDD33906F1A56000083176C278B1DE803CB4DB7

Textbook in PDF format Ensemble Learning for AI Developers starts you at the beginning with an historical overview and explains key ensemble techniques and why they are needed. You then will learn how to change training data using bagging, bootstrap aggregating, random forest models, and cross-validation methods. Authors Kumar and Jain provide best practices to guide you in combining models and using tools to boost performance of your machine learning projects. They teach you how to effectively implement ensemble concepts such as stacking and boosting and to utilize popular libraries such as Keras, Scikit Learn, TensorFlow, PyTorch, and Microsoft LightGBM. Tips are presented to apply ensemble learning in different data science problems, including time series data, imaging data, and NLP. Recent advances in ensemble learning are discussed. Sample code is provided in the form of scripts and the IPython notebook

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Kumar A. et al. Ensemble Learning for AI Developers 2020.pdf 3.2 MB

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kumar et al ensemble learning ai developers 2020

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