{"product_id":"9781785889851","title":"Bayesian Analysis with Python","description":"\u003cp\u003e\u003cb\u003eUse Bayesian inference to make your data analysis efficient\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout This Book\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSimplify the Bayes process for solving complex statistical problems using Python;\u003c\/li\u003e\n\u003cli\u003eTutorial guide that will take the you through the journey of Bayesian analysis with the help of sample problems and practice exercises;\u003c\/li\u003e\n\u003cli\u003eLearn how and when to use Bayesian analysis in your applications with this guide.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003eStudents, researchers and data scientists who wish to learn Bayesian data analysis with Python and implement probabilistic models in their day to day projects. Programming experience with Python is essential. No previous statistical knowledge is assumed.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the essentials Bayesian concepts from a practical point of view\u003c\/li\u003e\n\u003cli\u003eLearn how to build probabilistic models using the Python library PyMC3\u003c\/li\u003e\n\u003cli\u003eAcquire the skills to sanity-check your models and modify them if necessary\u003c\/li\u003e\n\u003cli\u003eAdd structure to your models and get the advantages of hierarchical models\u003c\/li\u003e\n\u003cli\u003eFind out how different models can be used to answer different data analysis questions\u003c\/li\u003e\n\u003cli\u003eWhen in doubt, learn to choose between alternative models.\u003c\/li\u003e\n\u003cli\u003ePredict continuous target outcomes using regression analysis or assign classes using logistic and softmax regression.\u003c\/li\u003e\n\u003cli\u003eLearn how to think probabilistically and unleash the power and flexibility of the Bayesian framework\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eIn Detail\u003c\/b\u003e\u003cp\u003eThe purpose of this book is to teach the main concepts of Bayesian modeling using Python, we will learn how to effectively use PyMC3, a python library for probabilistic programming, to perform Bayesian parameter estimation, and to check and validate models. This book will began by introducing the key concepts of the Bayesian framework and the main advantages of this approach from a practical point of view. Moving on, we will explore the power and flexibility of generalized linear models and how to adapt them to a wide array of problems, including regression and classification. We will also look into mixture models to cluster data, and we will finish with advanced topics like non-parametrics models, decision analysis and optimization. With the help of synthetic and real-world data-sets you will learn to implement, check and expand Bayesian models to solve your statistical problems.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":47166825398512,"sku":"9781785889851","price":32.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781785889851_p0.jpg?v=1763728454","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781785889851","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}