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Author: Sebastian Raschka Publisher: Packt Publishing Ltd ISBN: 1801816387 Category : Computers Languages : en Pages : 775
Book Description
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 Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book 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 learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who 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.
Author: Sebastian Raschka Publisher: Packt Publishing Ltd ISBN: 1801816387 Category : Computers Languages : en Pages : 775
Book Description
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 Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book 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 learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who 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.
Author: Stephen Boyd Publisher: Cambridge University Press ISBN: 1316518965 Category : Business & Economics Languages : en Pages : 477
Book Description
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Author: Joseph K. Blitzstein Publisher: CRC Press ISBN: 1466575573 Category : Mathematics Languages : en Pages : 599
Book Description
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.
Author: Josef Albers Publisher: Yale University Press ISBN: 0300179359 Category : Art Languages : en Pages : 210
Book Description
An experimental approach to the study and teaching of color is comprised of exercises in seeing color action and feeling color relatedness before arriving at color theory.
Author: Sarah Britton Publisher: Clarkson Potter ISBN: 0804185395 Category : Cooking Languages : en Pages : 585
Book Description
At long last, Sarah Britton, called the “queen bee of the health blogs” by Bon Appétit, reveals 100 gorgeous, all-new plant-based recipes in her debut cookbook, inspired by her wildly popular blog. Every month, half a million readers—vegetarians, vegans, paleo followers, and gluten-free gourmets alike—flock to Sarah’s adaptable and accessible recipes that make powerfully healthy ingredients simply irresistible. My New Roots is the ultimate guide to revitalizing one’s health and palate, one delicious recipe at a time: no fad diets or gimmicks here. Whether readers are newcomers to natural foods or are already devotees, they will discover how easy it is to eat healthfully and happily when whole foods and plants are at the center of every plate.
Author: Joan M. Saslow Publisher: Longman ISBN: 9780131106307 Category : English language Languages : en Pages : 0
Book Description
The Summit Teacher's Edition and Lesson Planner provides estimated teaching times, corpus notes, and methodology for teaching effectively plus a Teacher's Resource disk with printable extension activities. A two-level high-intermediate/advanced course, Summit is the perfect next step for learners who have completed a beginning to intermediate level course. Summit develops competence and confidence in all four skills.
Author: United Nations Publisher: ISBN: 9789211303940 Category : Political Science Languages : en Pages : 0
Book Description
The Manual of Tests and Criteria contains criteria, test methods and procedures to be used for classification of dangerous goods according to the provisions of Parts 2 and 3 of the United Nations Recommendations on the Transport of Dangerous Goods, Model Regulations, as well as of chemicals presenting physical hazards according to the Globally Harmonized System of Classification and Labelling of Chemicals (GHS). As a consequence, it supplements also national or international regulations which are derived from the United Nations Recommendations on the Transport of Dangerous Goods or the GHS. At its ninth session (7 December 2018), the Committee adopted a set of amendments to the sixth revised edition of the Manual as amended by Amendment 1. This seventh revised edition takes account of these amendments. In addition, noting that the work to facilitate the use of the Manual in the context of the GHS had been completed, the Committee considered that the reference to the "Recommendations on the Transport of Dangerous Goods" in the title of the Manual was no longer appropriate, and decided that from now on, the Manual should be entitled "Manual of Tests and Criteria".
Author: Col Usaf Timmons, Timothy Publisher: Createspace Independent Pub ISBN: 9781478384410 Category : History Languages : en Pages : 148
Book Description
The privilege of commanding an Air Force squadron, despite its heavy responsibilities and unrelenting challenges, represents for many Air Force officers the high point of their careers. It is service as a squadron commander that accords true command authority for the first time. The authority, used consistently and wisely, provides a foundation for command. As with the officer's commission itself, command authority is granted to those who have earned it, both by performance and a revealed capacity for the demands of total responsibility. But once granted, it much be revalidated every day. So as one assumes squadron command, bringing years of experience and proven record to join with this new authority, one might still need a little practical help to success with the tasks of command. This book offers such help. “Commanding an Air Force Squadron” brings unique and welcome material to a subject other books have addressed. It is rich in practical, useful, down-to-earth advice from officers who have recently experienced squadron command. The author does not quote regulations, parrot doctrine, or paraphrase the abstractions that lace the pages of so many books about leadership. Nor does he puff throughout the manuscript about how he did it. Rather, he presents a digest of practical wisdom based on real-world experience drawn from the reflection of many former commanders from any different types of units. He addresses all Air Force squadron commanders, rated and nonrated, in all sorts of missions worldwide. Please also see a follow up to this book entitled “Commanding an Air Force Squadron in the Twenty-First Century (2003)” by Jeffry F. Smith, Lieutenant Colonel, USAF.
Author: Sebastian Raschka
Author: Sebastian Raschka
Author: Stephen Boyd
Author: Joseph K. Blitzstein
Author: Josef Albers
Author: Sarah Britton
Author: Joan Saslow
Author: Joan M. Saslow
Author: United Nations
Author: Col Usaf Timmons, Timothy
Author: