Learned And Applied
DOWNLOAD
Download Learned And Applied PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Learned And Applied book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Handbook Of Research On Applied Learning Theory And Design In Modern Education
DOWNLOAD
Author : Railean, Elena
language : en
Publisher: IGI Global
Release Date : 2015-11-09
Handbook Of Research On Applied Learning Theory And Design In Modern Education written by Railean, Elena and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-09 with Education categories.
The field of education is in constant flux as new theories and practices emerge to engage students and improve the learning experience. Research advances help to make these improvements happen and are essential to the continued improvement of education. The Handbook of Research on Applied Learning Theory and Design in Modern Education provides international perspectives from education professors and researchers, cyberneticists, psychologists, and instructional designers on the processes and mechanisms of the global learning environment. Highlighting a compendium of trends, strategies, methodologies, technologies, and models of applied learning theory and design, this publication is well-suited to meet the research and practical needs of academics, researchers, teachers, and graduate students as well as curriculum and instructional design professionals.
Applied Data Science
DOWNLOAD
Author : Martin Braschler
language : en
Publisher: Springer
Release Date : 2019-06-13
Applied Data Science written by Martin Braschler and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-13 with Computers categories.
This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement for a classical textbook (i.e., it does not elaborate on fundamentals of methods and principles described elsewhere), but systematically highlights the connection between theory, on the one hand, and its application in specific use cases, on the other. With these goals in mind, the book is divided into three parts: Part I pays tribute to the interdisciplinary nature of data science and provides a common understanding of data science terminology for readers with different backgrounds. These six chapters are geared towards drawing a consistent picture of data science and were predominantly written by the editors themselves. Part II then broadens the spectrum by presenting views and insights from diverse authors – some from academia and some from industry, ranging from financial to health and from manufacturing to e-commerce. Each of these chapters describes a fundamental principle, method or tool in data science by analyzing specific use cases and drawing concrete conclusions from them. The case studies presented, and the methods and tools applied, represent the nuts and bolts of data science. Finally, Part III was again written from the perspective of the editors and summarizes the lessons learned that have been distilled from the case studies in Part II. The section can be viewed as a meta-study on data science across a broad range of domains, viewpoints and fields. Moreover, it provides answers to the question of what the mission-critical factors for success in different data science undertakings are. The book targets professionals as well as students of data science:first, practicing data scientists in industry and academia who want to broaden their scope and expand their knowledge by drawing on the authors’ combined experience. Second, decision makers in businesses who face the challenge of creating or implementing a data-driven strategy and who want to learn from success stories spanning a range of industries. Third, students of data science who want to understand both the theoretical and practical aspects of data science, vetted by real-world case studies at the intersection of academia and industry.
Learning How To Learn
DOWNLOAD
Author : Barbara Oakley, PhD
language : en
Publisher: Penguin
Release Date : 2018-08-07
Learning How To Learn written by Barbara Oakley, PhD and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-07 with Juvenile Nonfiction categories.
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.
Applied Pedagogies For Higher Education
DOWNLOAD
Author : Dawn A. Morley
language : en
Publisher: Springer Nature
Release Date : 2020-11-05
Applied Pedagogies For Higher Education written by Dawn A. Morley and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-05 with Education categories.
This open access book critiques real world learning across both the curriculum and extracurricular activities. Drawing on disciplines as diverse as business, health, fashion, sociology and geography, the editors and authors employ a cross-disciplinary approach to examine how this concept is being applied in higher education. Divided into three parts, the authors and contributors analyse broader applications of real world learning, student experience of practicing in a real world setting, and how learning strategies can be employed to engage students in real world learning. The editors and contributors provide up-to-date, cross-disciplinary and international insights into how real world learning could be integrated into the higher education curriculum to support effective, relevant and life-long learning for 21st century students.
The Lessons Learned Handbook
DOWNLOAD
Author : Nick Milton
language : en
Publisher: Elsevier
Release Date : 2010-06-30
The Lessons Learned Handbook written by Nick Milton and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-30 with Education categories.
The phrase "lessons learned is such a common one, yet people struggle with developing effective lessons learned approaches. The Lessons Learned Handbook is written for the project manager, quality manager or senior manager trying to put in place a system for learning from experience, or looking to improve the system they have. Based on experience of successful and unsuccessful systems, the author recognises the need to convert learning into action. For this to happen, there needs to be a series of key steps, which the book guides the reader through. The book provides practical guidance to learning from experience, illustrated with case histories from the author, and from contributors from industry and the public sector. - The book is a practitioner-level guide to the design and the mechanics of lessons learned processes - Takes a holistic approach, tracking lessons from identification to reapplication - Makes the case for the assignment of actions for learning
Strategic Learning A Holistic Approach To Studying
DOWNLOAD
Author : Robert K Kamei
language : en
Publisher: World Scientific
Release Date : 2021-07-21
Strategic Learning A Holistic Approach To Studying written by Robert K Kamei and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-21 with Education categories.
'Dr Bob was our pediatrician. If we could trust him with our kids, you can trust him with how to learn better. I discovered many surprising truths about learning in this book, so follow the scientific research and become a better learner.'Guy KawasakiBestselling book author, chief evangelist of Canva and creator of the 'Remarkable People' podcast Most 'how to learn' books focus only on study techniques. However, knowing these study techniques doesn't guarantee they will be successfully implemented. Based on Professor Kamei's popular undergraduate course at the National University of Singapore, the author shares his unique perspective as an educator and physician to provide a strategic approach to learning that will benefit all students looking to optimize their learning.His extensive experience with helping students with their studies has identified a wide variety of reasons why they were not learning properly. What throws many learners off is that they hold certain myths that result in poor study habits. Learners who understand the truth behind these myths can use this knowledge to better plan their study and have an advantage over others that don't.Furthermore, modifying your study methods won't make much difference if you are too sleepy to learn or lack the motivation and self-discipline to pick up a book. These foundational aspects of learning also need to be solidly in place. This book takes learners through the author's holistic method to help students learn better and meet whatever learning challenges they face.Learners of all ages who wish to optimize their learning will benefit from this book, as well as educators seeking an approach to help their students learn better.Related Link(s)
Implementation And Interpretation Of Machine And Deep Learning To Applied Subsurface Geological Problems
DOWNLOAD
Author : David A. Wood
language : en
Publisher: Elsevier
Release Date : 2025-02-18
Implementation And Interpretation Of Machine And Deep Learning To Applied Subsurface Geological Problems written by David A. Wood and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Technology & Engineering categories.
Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for subsurface geological prediction problems commonly encountered in applied resource evaluation and reservoir characterization tasks. The book provides insights into how the performance of ML/DL models can be optimized—and sparse datasets of input variables enhanced and/or rescaled—to improve prediction performances. A variety of topics are covered, including regression models to estimate total organic carbon from well-log data, predicting brittleness indexes in tight formation sequences, trapping mechanisms in potential sub-surface carbon storage reservoirs, and more.Each chapter includes its own introduction, summary, and nomenclature sections, along with one or more case studies focused on prediction model implementation related to its topic. - Addresses common applied geological problems focused on machine and deep learning implementation with case studies - Considers regression, classification, and clustering machine learning methods and how to optimize and assess their performance, considering suitable error and accuracy metric - Contrasts the pros and cons of multiple machine and deep learning methods - Includes techniques to improve the identification of geological carbon capture and storage reservoirs, a key part of many energy transition strategies
Web Based Learning
DOWNLOAD
Author : Harold F. O'Neil
language : en
Publisher: Routledge
Release Date : 2013-09-05
Web Based Learning written by Harold F. O'Neil and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-05 with Education categories.
Web-Based Learning: Theory, Research, and Practice explores the state of the art in the research and use of technology in education and training from a learning perspective. This edited book is divided into three major sections: *Policy, Practice, and Implementation Issues -- an overview of policy issues, as well as tools and designs to facilitate implementation of Web-based learning; *Theory and Research Issues -- a look at theoretical foundations of current and future Web-based learning; the section also includes empirical studies of Web-based learning; and *Summary and Conclusions -- highlights key issues in each chapter and outlines a research and development agenda. Within this framework the book addresses several important issues, including: the primacy of learning as a focus for technology; the need to integrate technology with high standards and content expectations; the paucity of and need to support the development of technology-based curriculum and tools; the need to integrate assessment in technology and improve assessment through the use of technology; and the need for theory-driven research and evaluation studies to increase our knowledge and efficacy. Web-Based Learning is designed for professionals and graduate students in the educational technology, human performance, assessment and evaluation, vocational/technical, and educational psychology communities.
Learned And Applied Soil Mechanics
DOWNLOAD
Author : F.B.J. Barends
language : en
Publisher: CRC Press
Release Date : 2002-01-01
Learned And Applied Soil Mechanics written by F.B.J. Barends and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-01 with Technology & Engineering categories.
A tribute to Professor Dr Arnold Verruijt, on the occasion of his retirement as professor in soil mechanics at the Technical University of Delft, this book is divided into five chapters covering: groundwater flow, consolidation, numerical methods, geodynamics and geostatics.
Deep Learning For Coders With Fastai And Pytorch
DOWNLOAD
Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala