Deep Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning write by Ian Goodfellow. This book was released on 2016-11-10. Deep Learning available in PDF, EPUB and Kindle. 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.
Free Learning
Free Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Free Learning write by Ross Parker. This book was released on 2021-11-29. Free Learning available in PDF, EPUB and Kindle. This edited volume explores, investigates and analyses Free Learning – an innovative approach to student-directed learning which seeks to challenge educational norms from within. The volume is framed by a recognition of the urgent need for transformation of our educational systems. In traditional education, students work through a teacher-directed linear syllabus, at a pace dictated by the teacher, with summative assessment hurdles at too-frequent intervals. Progression and direction are determined solely by the teacher. In Free Learning, students determine their own learning pathway through a non-linear syllabus, which can be visualised as a mind map. Students may then complete as many units as they either have time for or are interested in, moving from one unit to another on the basis of having formatively satisfied the demands of each individual unit. This volume showcases the value and potential of Free Learning in contemporary practice and is intended to bridge theory and practice. The structure of the book reflects this complementary fit, with contributions from practitioners describing Free Learning as a learning and teaching tool in a range of educational settings, subjects and age-ranges. It also contains qualitative and quantitative analyses by researchers exploring the uptake of Free Learning and students’ responses to the methodology. Researchers and educators who are interested in student-directed methodologies, especially in Asia, will find that the practical accounts and analyses of Free Learning contained within provide much food for thought with regard to redefining student learning.
An Introduction to Statistical Learning
An Introduction to Statistical Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook An Introduction to Statistical Learning write by Gareth James. This book was released on 2023-08-01. An Introduction to Statistical Learning available in PDF, EPUB and Kindle. 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.
Learning How to Learn
Learning How to Learn - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning How to Learn write by Barbara Oakley, PhD. This book was released on 2018-08-07. Learning How to Learn available in PDF, EPUB and Kindle. A surprisingly simple way for students to master any subject--based on one of the world's 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 they'd 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.
Molecular Structure of Nucleic Acids
Molecular Structure of Nucleic Acids - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Molecular Structure of Nucleic Acids write by . This book was released on 1953. Molecular Structure of Nucleic Acids available in PDF, EPUB and Kindle.
