{"product_id":"ensemble-learning-for-ai-developers-learn-bagging-stacking-and-boosting-methods-with-use-cases-9781484259399","title":"Ensemble Learning for AI Developers: Learn Bagging, Stacking, and Boosting Methods with Use Cases","description":"Use ensemble learning techniques and models to improve your machine learning results.\u003cbr\u003e\u003ci\u003e\u003cb\u003eEnsemble Learning for AI Developers\u003c\/b\u003e\u003c\/i\u003e 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.\u003cbr\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the techniques and methods utilized in ensemble learning\u003c\/li\u003e\n\u003cli\u003eUse bagging, stacking, and boosting to improve performance of your machine learning projects by combining models to decrease variance, improve predictions, and reduce bias\u003c\/li\u003e\n\u003cli\u003eEnhance your machine learning architecture with ensemble learning\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eData scientists and machine learning engineers keen on exploring ensemble learning\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Apress\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/19\/2020\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781484259399\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 136\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.50lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.33d","brand":"Alok Kumar, Mayank Jain","offers":[{"title":"Default Title","offer_id":36653293174940,"sku":"9781484259399","price":42.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0473\/0804\/6492\/products\/img_87fb0b38-cc73-4bc7-8f38-336a79720f58.jpg?v=1603881430","url":"https:\/\/pastforward.org\/products\/ensemble-learning-for-ai-developers-learn-bagging-stacking-and-boosting-methods-with-use-cases-9781484259399","provider":"Past Forward","version":"1.0","type":"link"}