Author: Publisher:
ISBN:
Category : Chinese language
Languages : zh-CN
Pages : 154
Book Description
Author: 刘珣
Author: TAN HUAY. PENG
Author: Yuehua LiuLearning Mandarin Chinese Characters Volume 1
Author: Yi RenPublisher: Tuttle Publishing
ISBN: 1462919138
Category : Foreign Language Study
Languages : en
Pages : 286
Book Description
Reinforce your written Chinese with this practice book for the best-selling Tuttle Learning Chinese Characters. Learning Mandarin Chinese Characters helps students quickly learn the essential Chinese characters that are fundamental to the language. This character workbook presents 178 Chinese characters and over 534 standard words using these characters. It is intended for self-study and classroom use and includes the characters and words students need to know if they plan to take the official Chinese government HSK Level 1 Exam or the Advanced Placement (AP) Chinese Language and Culture Exam. Each character is presented plainly and transparently. A step-by-step diagram shows how to write the character, and boxes are provided for freehand writing practice. The meaning and pronunciation are given along with the critical vocabulary compounds and an example sentence. Review exercises reinforce the learning process, and an index at the back allows you to look up the characters according to their English meanings or romanized Hanyu Pinyin pronunciation. Key features of this Chinese workbook include: Designed for HSK Level 1 and AP exam prep Learn the 178 most essential Chinese characters Example sentences and over 534 vocabulary items Step-by-step writing diagrams and practice boxes
The Case for a Four Day Week
Author: Aidan HarperPublisher: John Wiley & Sons
ISBN: 1509539662
Category : Political Science
Languages : en
Pages : 65
Book Description
Not so long ago, people thought that a ten-hour, six-day week was normal; now, it’s the eight-hour, five-day week. Will that soon be history too? In this book, three leading experts argue why it should be. They map out a pragmatic pathway to a shorter working week that safeguards earnings for the lower-paid and keeps the economy flourishing. They argue that this radical vision will give workers time to be better parents and carers, allow men and women to share paid and unpaid work more equally, and help to save jobs – and create new ones – in the post-pandemic era. Not only that, but it will combat stress and illness caused by overwork and help to protect the environment. This is essential reading for anyone who has ever felt they could live and work a lot better if all weekends were three days long.
Deep Learning
Author: Ian GoodfellowPublisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Learning Mandarin Chinese Characters Volume 2
Author: Yi RenPublisher: Tuttle Publishing
ISBN: 1462919235
Category : Foreign Language Study
Languages : en
Pages : 266
Book Description
Reinforce your written Chinese with this practice book for the best-selling Tuttle Learning Chinese Characters. Learning Mandarin Chinese Characters helps students quickly learn the essential Chinese characters that are fundamental to the language. This character workbook is intended for self-study or classroom use and presents 135 high-frequency characters and over 405 prevalent words using these characters. These are the characters and words students need to know if they plan to take the official Chinese government HSK Level 2 Exam or the Advanced Placement (AP) Chinese Language and Culture Exam. Each character is presented in a straightforward way. A step-by-step diagram shows how to write the character and boxes are provided for freehand writing practice. The meaning and pronunciation are given along with the key vocabulary compounds and an example sentence. Review exercises reinforce the learning process, and an index at the back allows you to look up the characters according to their English meanings or romanized Hanyu Pinyin pronunciation. Key features of this Chinese workbook include: Designed for HSK Level 2 and AP exam prep Learn the 135 most written Chinese characters Example sentences and over 405 vocabulary items Step-by-step writing diagrams and practice boxes
An Introduction to Statistical Learning
Author: Gareth JamesPublisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Introduction to Bioengineering
Author: Yuan-cheng FungPublisher: World Scientific
ISBN: 9789810243982
Category : Technology & Engineering
Languages : en
Pages : 318
Book Description
Bioengineering is attracting many high quality students. This invaluable book has been written for beginning students of bioengineering, and is aimed at instilling a sense of engineering in them.Engineering is invention and designing things that do not exist in nature for the benefit of humanity. Invention can be taught by making inventive thinking a conscious part of our daily life. This is the approach taken by the authors of this book. Each author discusses an ongoing project, and gives a sample of a professional publication. Students are asked to work through a sequence of assignments and write a report. Almost everybody soon realizes that more scientific knowledge is needed, and a strong motivation for the study of science is generated. The teaching of inventive thinking is a new trend in engineering education. Bioengineering is a good field with which to begin this revolution in engineering education, because it is a youthful, developing interdisciplinary field.
