Bayesian Analysis with Python

Bayesian Analysis with Python

Bayesian Analysis with Python

Osvaldo Martin

71,09 €
IVA incluido
Disponible
Editorial:
Packt Publishing
Año de edición:
2016
Materia
Diseño y teoría de bases de datos
ISBN:
9781785883804
71,09 €
IVA incluido
Disponible
Añadir a favoritos

Unleash the power and flexibility of the Bayesian framework Key Features:Simplify the Bayes process for solving complex statistical problems using Python;Tutorial guide that will take the you through the journey of Bayesian analysis with the help of sample problems and practice exercises;Learn how and when to use Bayesian analysis in your applications with this guide.Book Description:The purpose of this book is to teach the main concepts of Bayesian data analysis. We will learn how to effectively use PyMC3, a Python library for probabilistic programming, to perform Bayesian parameter estimation, to check models and validate them. This book begins presenting 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 and clustering data, and we will finish with advanced topics like non-parametrics models and Gaussian processes. With the help of Python and PyMC3 you will learn to implement, check and expand Bayesian models to solve data analysis problems.What You Will Learn:Understand the essentials Bayesian concepts from a practical point of viewLearn how to build probabilistic models using the Python library PyMC3Acquire the skills to sanity-check your models and modify them if necessaryAdd structure to your models and get the advantages of hierarchical modelsFind out how different models can be used to answer different data analysis questionsWhen in doubt, learn to choose between alternative models.Predict continuous target outcomes using regression analysis or assign classes using logistic and softmax regression.Learn how to think probabilistically and unleash the power and flexibility of the Bayesian frameworkWho this book is for:Students, 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.

Artículos relacionados

  • Hands-On Machine Learning on Google Cloud Platform
    Alexis Perrier / Giuseppe Ciaburro / Kishore Ayyadevara
    Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3Key FeaturesGet to grips with the basics of Computer Vision and image processingThis is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3This book takes a special focus on working with Tesseract OCR, a free, open-source libr...
    Disponible

    67,00 €

  • MLOps with Red Hat OpenShift
    Faisal Masood / Ross Brigoli
    Build and manage MLOps pipelines with this practical guide to using Red Hat OpenShift Data Science, unleashing the power of machine learning workflowsKey FeaturesGrasp MLOps and machine learning project lifecycle through concept introductionsGet hands on with provisioning and configuring Red Hat OpenShift Data ScienceExplore model training, deployment, and MLOps pipeline buildi...
    Disponible

    61,48 €

  • Data Labeling in Machine Learning with Python
    Vijaya Kumar Suda
    Take your data preparation, machine learning, and GenAI skills to the next level by learning a range of Python algorithms and tools for data labelingKey FeaturesGenerate labels for regression in scenarios with limited training dataApply generative AI and large language models (LLMs) to explore and label text dataLeverage Python libraries for image, video, and audio data analysi...
    Disponible

    83,55 €

  • Data Engineering with Scala and Spark
    David Radford / Eric Tome / Rupam Bhattacharjee
    Take your data engineering skills to the next level by learning how to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate dataKey FeaturesTransform data into a clean and trusted source of information for your organization using ScalaBuild streaming and batch-processing pipelines with step-by-step explanati...
    Disponible

    55,63 €

  • Database Design and Modeling with Google Cloud
    Abirami Sukumaran
    Build faster and efficient real-world applications on the cloud with a fitting database model that’s perfect for your needsKey FeaturesFamiliarize yourself with business and technical considerations involved in modeling the right databaseTake your data to applications, analytics, and AI with real-world examplesLearn how to code, build, and deploy end-to-end solutions with exper...
    Disponible

    48,37 €

  • BASI DI DATI - PROGETTAZIONE, REALIZZAZIONE E PROGRAMMAZIONE
    Roberto Bandiera
    Il lettore viene guidato nelle diverse fasi della progettazione e realizzazione di un database relazionale.Nelle numerose esemplificazioni pratiche viene utilizzato MySQL come software di gestione database.Viene poi trattato il linguaggio SQL per interrogare ed aggiornare il database. Infine vengono presentate le tecniche e gli strumenti per realizzare una applicazione gestiona...
    Disponible

    33,33 €

Otros libros del autor

  • Bayesian Analysis with Python - Third Edition
    Osvaldo Martin
    Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and more, guided by an experienced Bayesian modeler who contributes to these librariesKey Features:- Conduct Bayesian data analysis with step-by-step guidance- Gain insight into a modern, practical, and computational approach to Bayesian statistical modeling- Enhance...
    Disponible

    92,63 €

  • Bayesian Analysis with Python - Third Edition
    Osvaldo Martin
    Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and more, guided by an experienced Bayesian modeler who contributes to these librariesKey Features- Conduct Bayesian data analysis with step-by-step guidance- Gain insight into a modern, practical, and computational approach to Bayesian statistical modeling- Enhance ...
    Disponible

    69,74 €

  • Bayesian Analysis with Python - Second Edition
    Osvaldo Martin
    Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key FeaturesA step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZA modern, practical and computational approach to Bayesian statistical modelingA tutorial for Bayesian analysis and best practices with the help of sample problems and practice exercises.Book DescriptionThe s...
    Disponible

    65,40 €