{"product_id":"machine-learning-automation-with-tpot-build-validate-and-deploy-fully-automated-machine-learning-models-with-python-paperback","title":"Machine Learning Automation with TPOT: Build, validate, and deploy fully automated machine learning models with Python - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDario Radečic\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDiscover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automate\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand parallelism and how to achieve it in Python.\u003c\/li\u003e\n\u003cli\u003eLearn how to use neurons, layers, and activation functions and structure an artificial neural network.\u003c\/li\u003e\n\u003cli\u003eTune TPOT models to ensure optimum performance on previously unseen data.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThe automation of machine learning tasks allows developers more time to focus on the usability and reactivity of the software powered by machine learning models. TPOT is a Python automated machine learning tool used for optimizing machine learning pipelines using genetic programming. Automating machine learning with TPOT enables individuals and companies to develop production-ready machine learning models cheaper and faster than with traditional methods.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eWith this practical guide to AutoML, developers working with Python on machine learning tasks will be able to put their knowledge to work and become productive quickly. You'll adopt a hands-on approach to learning the implementation of AutoML and associated methodologies. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will show you how to build automated classification and regression models and compare their performance to custom-built models. As you advance, you'll also develop state-of-the-art models using only a couple of lines of code and see how those models outperform all of your previous models on the same datasets.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll have gained the confidence to implement AutoML techniques in your organization on a production level.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eGet to grips with building automated machine learning models\u003c\/li\u003e\n\u003cli\u003eBuild classification and regression models with impressive accuracy in a short time\u003c\/li\u003e\n\u003cli\u003eDevelop neural network classifiers with AutoML techniques\u003c\/li\u003e\n\u003cli\u003eCompare AutoML models with traditional, manually developed models on the same datasets\u003c\/li\u003e\n\u003cli\u003eCreate robust, production-ready models\u003c\/li\u003e\n\u003cli\u003eEvaluate automated classification models based on metrics such as accuracy, recall, precision, and f1-score\u003c\/li\u003e\n\u003cli\u003eGet hands-on with deployment using Flask-RESTful on localhost\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eData scientists, data analysts, and software developers who are new to machine learning and want to use it in their applications will find this book useful. This book is also for business users looking to automate business tasks with machine learning. Working knowledge of the Python programming language and beginner-level understanding of machine learning are necessary to get started.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 270\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.57 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 07, 2021\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43156748238911,"sku":"9781800567887","price":76.01,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/HM2llrlIgJ9781800567887.webp?v=1776974878","url":"https:\/\/dhlswag.com\/products\/machine-learning-automation-with-tpot-build-validate-and-deploy-fully-automated-machine-learning-models-with-python-paperback","provider":"BBB","version":"1.0","type":"link"}