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Learning How to Learn: How to Succeed in School Without Spending All Your Time Studying; A Guide for Kids and Teens, Oakley Barbara, Sejnowski Terrence, McConville Ali


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Цена: 1563.00р.
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
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При оформлении заказа до: 2025-07-13
Ориентировочная дата поставки: Август-начало Сентября

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Автор: Oakley Barbara, Sejnowski Terrence, McConville Ali   (Барбара Оукли)
Название:  Learning How to Learn: How to Succeed in School Without Spending All Your Time Studying; A Guide for Kids and Teens
Перевод названия: Барбара Оукли: Обучение тому, как учиться. Как добиться успеха в школе, не тратя все свое время на о
ISBN: 9780143132547
Издательство: Random House (USA)
Классификация:



ISBN-10: 0143132547
Обложка/Формат: Paperback
Страницы: 256
Вес: 0.31 кг.
Дата издания: 07.08.2018
Язык: English
Размер: 152 x 226 x 25
Читательская аудитория: General (us: trade)
Подзаголовок: How to succeed in school without spending all your time studying: a guide for kids and teens
Рейтинг:
Поставляется из: США
Описание: A surprisingly simple way for students to master any subject--based on one of the worlds most popular online courses and the bestselling book A Mind for Numbers

A Mind for Numbers and its wildly popular online companion course Learning How to Learn have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish theyd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying.
We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains:
* Why sometimes letting your mind wander is an important part of the learning process
* How to avoid rut think in order to think outside the box
* Why having a poor memory can be a good thing
* The value of metaphors in developing understanding
* A simple, yet powerful, way to stop procrastinating
Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.



The Deep Learning Revolution

Автор: Sejnowski Terrence J.
Название: The Deep Learning Revolution
ISBN: 026203803X ISBN-13(EAN): 9780262038034
Издательство: MIT Press
Рейтинг:
Цена: 5070.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

How deep learning--from Google Translate to driverless cars to personal cognitive assistants--is changing our lives and transforming every sector of the economy.

The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.


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