Автор: Olbey, Arpad Название: Happiness Colour By Numbers ISBN: 1784286508 ISBN-13(EAN): 9781784286507 Издательство: Arcturus Рейтинг: Цена: 5070.00 T Наличие на складе: Есть Описание: How do migrating birds know where to go? Are birds really descended from dinosaurs? How do birds have sex? This book sets about answering various questions that is there to ask about birds. It covers over 10,000 species in the world, including over 500 in Britain, some rare and endangered, some bizarre and beautiful, others common and familiar.
Автор: Kishimoto Masashi Название: Naruto: The Official Character Data Book ISBN: 1421541254 ISBN-13(EAN): 9781421541259 Издательство: Viz Media Рейтинг: Цена: 13850.00 T Наличие на складе: Есть Описание: A ninja knows all, and now you can too - all the intel on who`s who in Naruto!
Автор: Housel Morgan Название: The Psychology of Money: Timeless Lessons on Wealth, Greed, and Happiness ISBN: 0857197681 ISBN-13(EAN): 9780857197689 Издательство: Pan Macmillan Рейтинг: Цена: 13080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Morgan Housel shares 19 short stories exploring the strange ways people think about money and teaches you how to make better sense of one of life`s most important topics.
Автор: Editors of Klutz Название: Best. Year. Ever!: Planner & Gratitude Journal: 365 Days of Happiness and Kindness ISBN: 1338158813 ISBN-13(EAN): 9781338158816 Издательство: Scholastic UK Рейтинг: Цена: 9670.00 T Наличие на складе: Невозможна поставка. Описание: This make-your-own monthly planner with stickers and holidays, offers gratitude oriented exercises for the month and specific kindness/gratitude/posit challenges that span a week. Journal comes with bookmark ribbon, 6 pages of fun stickers, stackable pen and custom sticky note flags.
Автор: Neret Gilles Название: Renoir. Painter of Happiness (BU) ISBN: 3836567652 ISBN-13(EAN): 9783836567657 Издательство: Taschen Рейтинг: Цена: 14170.00 T Наличие на складе: Невозможна поставка. Описание:
Pierre-Auguste Renoir's (1841-1919) timelessly charming paintings still reflect our ideals of happiness, love, and beauty. Derived from our large-format volume, the most comprehensive retrospective of his work published to date, this compact edition examines the personal history and motivation behind the legend. Though he began by painting landscapes in the Impressionist style, Renoir found his true affinity in portraits, after which he abandoned the Impressionists altogether. Though often misunderstood, Renoir remains one of history's most well-loved painters--undoubtedly because his works exude such warmth, tenderness, and good spirit.
In an incisive text tracing the artist's career and stylistic evolution, Gilles N ret shows how Renoir reinvented the painted female form, with his everyday goddesses and their plump forms, rounded hips and breasts. Renoir's later phase, marked by his return to the simple pleasure of the female nude in his baigneuses series, was his most innovative and stylistically influential, and would inspire such masters as Matisse and Picasso.
With a complete chronology, bibliography, index of works, and brilliant reproductions, as well as photos and sketches illustrating Renoir's life and work, this is the essential work of reference on this enduring master artist.
Автор: Olbey Arpad Название: Color by Numbers: Happiness ISBN: 0785835377 ISBN-13(EAN): 9780785835370 Издательство: Неизвестно Цена: 9190.00 T Наличие на складе: Невозможна поставка. Описание:
This uplifting color-by-number book explores the theme of happiness in more than 60 detailed images.
From tranquil sunsets and cuddly animals to spiritual images of people practicing yoga, scenes of nature, pleasant pastimes, and mandala pattern. Readers will find hours of contentment in coloring these positive images.
Автор: Grolemund Garrett, Wickham Hadley Название: R for Data Science ISBN: 1491910399 ISBN-13(EAN): 9781491910399 Издательство: Wiley Рейтинг: Цена: 46450.00 T Наличие на складе: Невозможна поставка. Описание: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun.
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
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