The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch, Saleh Hyatt
Автор: Saleh Hyatt Название: Machine Learning Fundamentals ISBN: 1789803551 ISBN-13(EAN): 9781789803556 Издательство: Неизвестно Рейтинг: Цена: 7171.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As machine learning algorithms become popular, new tools that optimize these algorithms are also developed. Machine Learning Fundamentals explains the scikit-learn API, which is a package created to facilitate the process of building machine learning applications. By explaining the differences between supervised and unsupervised models and by ...
Описание: New York Times bestselling author and America`s leadership mentor offers leaders six tools for crafting an irresistible vision for their business, rallying their team around the vision, and distilling it into actionable plans that drive results.
Автор: Hyatt Shirley Название: Clintonville and Beechwold ISBN: 1531639801 ISBN-13(EAN): 9781531639808 Издательство: Неизвестно Цена: 4413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Saleh Yunus D. Название: Crisis Management: The Art of Success & Failure ISBN: 1635051509 ISBN-13(EAN): 9781635051506 Издательство: Неизвестно Рейтинг: Цена: 4773.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Hyatt Kim Название: Wayfaring Stranger ISBN: 1537780883 ISBN-13(EAN): 9781537780887 Издательство: Неизвестно Цена: 3793.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Saleh Dolah Название: It Is All about You: A Responsible Search for Meaning ISBN: 1982200464 ISBN-13(EAN): 9781982200466 Издательство: Неизвестно Цена: 3993.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Youve probably thought about it, journaled about it, had deep conversations with your mom or best friend, or even your dog about it. In fact, you may have spent a lifetime thinking, journaling, and speaking to hundreds of people about it over the yearsjust like the author of this book. Dolah Saleh seeks to understand the meaning of life by asking questions such as: Who am I (in this existence)? Why am I here? What should I and must I do? Am I working with a predetermined lifespan? What will it all mean in the end? Unlike others whove tackled such questions, she does not offer answers but rather asks readers to look inside themselves for guidance. In doing so, she takes a transcendental yet existential view of our time here, from our entry to our exit. Based on a lifetime of conversations and experiences shared with friends, family, and clients, Saleh responds to our enduring need for the reassurance that we are united in our human experiences. Take a journey into yourself, and find the answers you seek with the insights and lessons in IT IS ALL ABOUT YOU.
Take a comprehensive and step-by-step approach to understanding machine learning
Key Features
Discover how to apply the scikit-learn uniform API in all types of machine learning models
Understand the difference between supervised and unsupervised learning models
Reinforce your understanding of machine learning concepts by working on real-world examples
Book Description
Machine learning algorithms are an integral part of almost all modern applications. To make the learning process faster and more accurate, you need a tool flexible and powerful enough to help you build machine learning algorithms quickly and easily. With The Machine Learning Workshop, you'll master the scikit-learn library and become proficient in developing clever machine learning algorithms.
The Machine Learning Workshop begins by demonstrating how unsupervised and supervised learning algorithms work by analyzing a real-world dataset of wholesale customers. Once you've got to grips with the basics, you'll develop an artificial neural network using scikit-learn and then improve its performance by fine-tuning hyperparameters. Towards the end of the workshop, you'll study the dataset of a bank's marketing activities and build machine learning models that can list clients who are likely to subscribe to a term deposit. You'll also learn how to compare these models and select the optimal one.
By the end of The Machine Learning Workshop, you'll not only have learned the difference between supervised and unsupervised models and their applications in the real world, but you'll also have developed the skills required to get started with programming your very own machine learning algorithms.
What you will learn
Understand how to select an algorithm that best fits your dataset and desired outcome
Explore popular real-world algorithms such as K-means, Mean-Shift, and DBSCAN
Discover different approaches to solve machine learning classification problems
Develop neural network structures using the scikit-learn package
Use the NN algorithm to create models for predicting future outcomes
Perform error analysis to improve your model's performance
Who this book is for
The Machine Learning Workshop is perfect for machine learning beginners. You will need Python programming experience, though no prior knowledge of scikit-learn and machine learning is necessary.
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