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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 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 DescriptionMachine 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 forIf 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.Table of ContentsGiving Computers the Ability to Learn from DataTraining Simple Machine Learning Algorithms for ClassificationA Tour of Machine Learning Classifiers Using Scikit-LearnBuilding Good Training Datasets - Data PreprocessingCompressing Data via Dimensionality ReductionLearning Best Practices for Model Evaluation and Hyperparameter TuningCombining Different Models for Ensemble LearningApplying Machine Learning to Sentiment AnalysisPredicting Continuous Target Variables with Regression AnalysisWorking with Unlabeled Data - Clustering AnalysisImplementing a Multilayer Artificial Neural Network from Scratch(N.B. Please use the Look Inside option to see further chapters)

This book will help you prepare for Google's most sought-after Professional Cloud Architect certification from the ground up. With the help of this book, you'll develop the skills necessary to design, develop, and manage enterprise-grade cloud solutions and achieve your organization's business objectives.

While the practice of administration has evolved heavily over the decades, it still requires a high level of expertise and focus to perform safely and well. This book will show you how to approach the role of a Linux system administrator and to think about Linux by gaining a clear understanding of decision making, risk, and business context.

Microsoft Teams is your entry point to the modern workplace. This guide is complete with hands-on tutorials and examples to teach you how to use MS Teams in your organization for unified communication, remote working, and more. The book helps you to be an MS Teams advocate and to improve the way people collaborate in your organization.

Tableau CRM is a powerful and versatile data analytics platform that delivers actionable insights within Salesforce. The skills required to transform data and build dashboards using this platform are in high demand, but the supply is short. This book will equip you with these skills and help you on your way to becoming a Tableau CRM expert.

Python Architecture Patterns covers in detail the different practical approaches in software architecture to properly structure big software systems, using Python as an example language. This will help you design applications that are high quality and can be easily managed as they grow.

The current trend of hacking and security breaches shows how important it has become to pentest your environment to ensure endpoint protection. This book will take you through the latest version of Kali Linux to help you efficiently deal with crucial security aspects such as confidentiality, integrity, availability, and access control.

Sculpting is an artist-friendly approach to 3D modeling that focuses on the use of brushes instead of technical knowledge. This book will teach you everything you need to know about Blender's core sculpting workflows, how to customize and use brushes, and how to create sculptures with this amazing free 3D software.

Learn SOLIDWORKS 2022 takes you from a SOLIDWORKS novice to acquiring all the skills expected of a Certified SOLIDWORKS Professional (CSWP). In addition to teaching you about the tools, the book also helps you to develop software fluency in a steady way as you practice using the software for different applications.

This book will help engineers with existing knowledge of modeling in SOLIDWORKS gain a basic understanding of SOLIDWORKS Simulation and provide practical tips and exercises to perform analyses effectively. You'll explore key features of the software for static finite element simulation of structures.

Unlock the power of the SOLIDWORKS 3D CAD Sheet Metal module by learning essential tools such as Lofted Bends and Hems, and discover real-world manufacturing tipsKey FeaturesUnderstand what Sheet Metal is and how you can use it with SOLIDWORKS softwareExplore all of the Sheet Metal tools step by step, from simple edge flanges to complex forming toolsLearn the real-world manufacturing factors that can affect your designsBook DescriptionSOLIDWORKS(c) is the premier software choice for 3D engineering and product design applications across a wide range of industries, and the Sheet Metal module forms an important part of this powerful program.This book will help you to understand exactly what Sheet Metal is, why it is used, and how you can make the most of this fundamental design feature. You'll start by understanding the basic tools, including Base Flanges and Sketched Bends, before moving on to more complex features such as Custom Forming Tools and Lofted Bends. The book covers all the necessary tools in a step-by-step manner and shares practical manufacturing tips and tricks that will allow you to apply the skills that you learn to real-world situations.By the end of this SOLIDWORKS book, you'll have understood how to make the best use of SOLIDWORKS Sheet Metal tools and be able to create a whole range of 3D models and designs confidently.What you will learnDiscover what Sheet Metal can be used for and how you can benefit from this skillsetCreate Sheet Metal parts, both from scratch and by converting existing 3D partsSelect different Sheet Metal tools to be used in different situationsProduce advanced shapes using Lofted BendsRelate the Sheet Metal techniques in the book to real-world manufacturing and design, including material selection and manufacturing limitationsPractice Sheet Metal techniques using real-world examplesWho this book is forThis book is for existing SOLIDWORKS software users looking to expand their skillset and specialize in Sheet Metal design, including engineers who want to upskill or modeling enthusiasts looking to improve their skills and knowledge. The book will be especially useful for junior engineers and designers who are already familiar with general Solid modeling and want to learn extra computer-aided design (CAD) skills to advance their careers and open up exciting new design opportunities. Basic knowledge of SOLIDWORKS and experience using a Windows PC are all you need to get started.

This book is a quick-paced guide that focuses on the core concepts and knowledge, in just enough words, to help aspiring as well as existing CISOs learn about vital tasks in an easy way. This book will take you from the basics of CISO and security leadership roles to complex key tasks necessary for becoming a global CISO.

Microsoft's ASP.NET Core is a powerful web framework full of hidden features that this web app development book will help you to uncover and understand. You'll get hands-on with customizing ASP.NET Core to suit your application development needs with the help of practical examples and best practices.

Explore the capabilities of React Hooks with this book and make better decisions in your application design. You'll take a hands-on approach to learning about the effective implementation of React Hooks and gain the confidence needed to adopt Hooks for developing large-scale and efficient web applications.

This second edition of Kotlin Design Patterns and Best Practices provides you with the most up-to-date overview of how to design applications using Kotlin. You'll explore patterns you may already know from other languages and learn patterns that are specific to Kotlin for building highly scalable, maintainable, and extensible applications.

Deno Web Development is the definitive guide to starting to write, test, and deploy reliable Deno applications. You'll be able to apply Deno to common use cases from simple command-line interface (CLI) utilities to multi-featured APIs. By the end of this Deno book, you'll be comfortable with using Deno for real-world web application development.

Project management doesn't have to be overwhelming. This comprehensive guide is packed with practical tips on how to better organize, visualize, and automate work for the business teams in your organization. You'll discover best practices for building and managing your own Jira Work Management projects from start to finish.

This deep learning book will introduce you to the basics of PyTorch Lightning and how you can build deep learning models from scratch. You'll learn techniques for building a variety of deep learning debugging models and tuning some of the advanced features of PyTorch Lightning to research and invent new methods.

Speed Up Your Python Code with Rust is a practical guide to learning all about the Rust programming language from a Python perspective. This book covers the Rust programming concepts which can help you to package Rust code in a pip module and build fast applications efficiently.

As machine learning becomes increasingly important across different industries, organizations need to build secure and scalable ML platforms. This handbook demonstrates the entire process, including data science, system architecture, and ML governance to help you become a professional ML solutions architect.

This book describes both batch processing and real-time processing pipelines. You'll learn how to implement basic and advanced big data use cases with ease and develop a deep understanding of the Apache Beam model. In addition to this, you'll discover how the portability layer works and the building blocks of an Apache Beam runner.

This Workshop will teach you how to build deep learning models from scratch using real-world datasets with the TensorFlow framework. You will gain the knowledge you need to process a variety of data types, perform tensor computations, and understand the different layers in a deep learning model.

Managing multiple files while producing beautifully edited images is a must-have skill for modern-day influencers, photography enthusiasts, and power users. This book clearly presents techniques that'll help you achieve impressive results using both manually driven tools as well as a range of cool AI-powered features.