Machine Learning with PyTorch and Scikit Learn Book [PDF] Download

Download the fantastic book titled Machine Learning with PyTorch and Scikit Learn written by Sebastian Raschka, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning with PyTorch and Scikit Learn", which was released on 25 February 2022. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Machine Learning with PyTorch and Scikit Learn by Sebastian Raschka PDF

This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch's simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key FeaturesLearn applied machine learning with a solid foundation in theoryClear, intuitive explanations take you deep into the theory and practice of Python machine learningFully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practicesBook Description Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments. What you will learnExplore frameworks, models, and techniques for machines to 'learn' from dataUse scikit-learn for machine learning and PyTorch for deep learningTrain machine learning classifiers on images, text, and moreBuild and train neural networks, transformers, and boosting algorithmsDiscover best practices for evaluating and tuning modelsPredict continuous target outcomes using regression analysisDig deeper into textual and social media data using sentiment analysisWho this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you'll need a good understanding of calculus, as well as linear algebra.


Detail About Machine Learning with PyTorch and Scikit Learn PDF

  • Author : Sebastian Raschka
  • Publisher : Packt Publishing Ltd
  • Genre : Computers
  • Total Pages : 775 pages
  • ISBN : 1801816387
  • PDF File Size : 50,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Machine Learning with PyTorch and Scikit-Learn

Machine Learning with PyTorch and Scikit-Learn
  • Publisher : Packt Publishing Ltd
  • File Size : 33,6 Mb
  • Release Date : 25 February 2022
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This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch's simple to code framework. Purchase of the

Machine Learning con PyTorch y Scikit-Learn

Machine Learning con PyTorch y Scikit-Learn
  • Publisher : Marcombo
  • File Size : 46,6 Mb
  • Release Date : 27 February 2023
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Si busca un manual de referencia sobre Machine Learning y Deep Learning con PyTorch, ha llegado al libro indicado. En él se explica paso a paso cómo construir sistemas

Python Machine Learning

Python Machine Learning
  • Publisher : Packt Publishing Ltd
  • File Size : 38,6 Mb
  • Release Date : 23 September 2015
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Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data

Deep Learning with PyTorch

Deep Learning with PyTorch
  • Publisher : Simon and Schuster
  • File Size : 24,6 Mb
  • Release Date : 01 July 2020
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“We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of

Mastering Machine Learning with scikit-learn

Mastering Machine Learning with scikit-learn
  • Publisher : Packt Publishing Ltd
  • File Size : 41,7 Mb
  • Release Date : 24 July 2017
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Use scikit-learn to apply machine learning to real-world problems About This Book Master popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural

Python Machine Learning By Example

Python Machine Learning By Example
  • Publisher : Packt Publishing Ltd
  • File Size : 27,7 Mb
  • Release Date : 30 October 2020
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A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniques

Hands-on Machine Learning with Python

Hands-on Machine Learning with Python
  • Publisher : Unknown Publisher
  • File Size : 28,5 Mb
  • Release Date : 28 March 2024
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Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch
  • Publisher : Packt Publishing Ltd
  • File Size : 40,9 Mb
  • Release Date : 27 November 2020
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Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questions Key FeaturesImplement solutions to 50 real-world computer vision