Автор: Hyatt Michael Название: Your Best Year Ever: A 5-Step Plan for Achieving Your Most Important Goals ISBN: 0801075254 ISBN-13(EAN): 9780801075254 Издательство: Неизвестно Цена: 22980.00 T Наличие на складе: Невозможна поставка. Описание: New York Times bestselling author and America`s mentor offers a research-driven, field-tested system for setting and achieving your professional, relational, financial, spiritual, and intellectual goals in order to have your best year ever.
Автор: Hyatt, Wesley Название: Bob hope on tv: thanks for the video mem ISBN: 1629332186 ISBN-13(EAN): 9781629332185 Издательство: Неизвестно Рейтинг: Цена: 45980.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
He entered TV an A list superstar in 1950 and maintained that status through his final special in 1996. Much of his work on TV still ranks among the top 100 highest rated shows of all time, from hosting the Academy Awards to his Christmas specials from Vietnam. Given all that, there has not been one book devoted to profiling and analyzing his amazing achievements--until now.
Bob Hope on TV: Thanks for the Video Memories summarizes and reviews the television appearances by the man voted in 1985 America's favorite all-time entertainer--when he was 77 years old It profiles nearly 1,000 hours of national TV appearances by "Ol' Ski Nose" by virtually every genre in the medium, starting with all his comedy specials he headlined for almost half a century. Other appearances included are his acting guest shots ranging from I Love Lucy to The Simpsons; his work on close to 200 variety shows and specials; his memorable moments on talk shows, game shows, awards presentations and sporting events; and even his considerable contributions to documentaries and news programs.
Laugh again to great jokes and get new insights as nearly forty interviewees share their recollections about working with Bob as guest stars, writers, producers and directors. Bob Hope on TV: Thanks for the Video Memories is a tribute to the impact of one of the brightest stars ever to shine on television.
Автор: Hyatt, Michael Название: Your best year ever ISBN: 0801075890 ISBN-13(EAN): 9780801075896 Издательство: Неизвестно Рейтинг: Цена: 12660.00 T Наличие на складе: Невозможна поставка. Описание: Wilkerson`s passionate call to a deeper walk of daily discipleship invites both committed and casual Christians to know Jesus as they`ve never known him before.
Автор: Hyatt Michael Название: The Vision-Driven Leader: 10 Questions to Focus Your Efforts, Energize Your Team, and Scale Your Business ISBN: 0801075270 ISBN-13(EAN): 9780801075278 Издательство: Неизвестно Рейтинг: Цена: 21110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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 Wayne Название: Theft at the Royal ISBN: 1525589628 ISBN-13(EAN): 9781525589621 Издательство: Неизвестно Рейтинг: Цена: 28750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: What if you figured out a way to pull off an impossible crime? Would you do it? That is the million-dollar question for security expert Viktor Alexov when he visits the Royal Canadian Mint in Ottawa as a tourist. What begins as a hypothetical, pro...
Автор: Hyatt Irwin T. Jr. Название: Our Ordered Lives Confess ISBN: 0674184505 ISBN-13(EAN): 9780674184503 Издательство: Harvard University Press Рейтинг: Цена: 59770.00 T Наличие на складе: Нет в наличии.
Автор: Waggoner Hyatt H. Название: Hawthorne ISBN: 0674366409 ISBN-13(EAN): 9780674366404 Издательство: Harvard University Press Рейтинг: Цена: 59770.00 T Наличие на складе: Нет в наличии.
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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