Foundations of Programming, Statistics, and Machine Learning for Business Analytics
Foundations of Programming, Statistics, and Machine Learning for Business Analytics

Author: Ram Gopal

Publisher: SAGE Publications Limited

Published: 2023-04-22

Total Pages: 479

ISBN-13: 1529621550

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Business Analysts and Data Scientists are in huge demand, as global companies seek to digitally transform themselves and leverage their data resources to realize competitive advantage. This book covers all the fundamentals, from statistics to programming to business applications, to equip you with the solid foundational knowledge needed to progress in business analytics. Assuming no prior knowledge of programming or statistics, this book takes a simple step-by-step approach which makes potentially intimidating topics easy to understand, by keeping Maths to a minimum and including examples of business analytics in practice. Key features: · Introduces programming fundamentals using R and Python · Covers data structures, data management and manipulation and data visualization · Includes interactive coding notebooks so that you can build up your programming skills progressively Suitable as an essential text for undergraduate and postgraduate students studying Business Analytics or as pre-reading for students studying Data Science. Ram Gopal is Pro-Dean and Professor of Information Systems at the University of Warwick. Daniel Philps is an Artificial Intelligence Researcher and Head of Rothko Investment Strategies. Tillman Weyde is Senior Lecturer at City, University of London.

Training in Organizations
Training in Organizations

Author: Irwin L. Goldstein

Publisher: Wadsworth Publishing Company

Published: 1993

Total Pages: 388

ISBN-13: 9780534164522

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Needs assessment and learning environment; A systematic approach to training; The needs assessment phase; The learning environment; The criterion choice: introduction to evaluation; Evaluation procedures; A variety of instructional techniques; Training techniques emphasizing managerial and interpersonal skills; Special training issues.

Education and Educational Technology
Education and Educational Technology

Author: Yuanzhi Wang

Publisher: Springer Science & Business Media

Published: 2011-10-07

Total Pages: 819

ISBN-13: 364224775X

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This volume includes extended and revised versions of a set of selected papers from the 2011 2nd International Conference on Education and Educational Technology (EET 2011) held in Chengdu, China, October 1-2, 2011. The mission of EET 2011 Volume 1 is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of education and educational technology to disseminate their latest research results and exchange views on the future research directions of these fields. 130 related topic papers were selected into this volume. All the papers were reviewed by 2 program committee members and selected by the volume editor Prof. Yuanzhi Wang, from Intelligent Information Technology Application Research Association, Hong Kong. The conference will bring together leading researchers, engineers and scientists in the domain of interest. We hope every participant can have a good opportunity to exchange their research ideas and results and to discuss the state of the art in the areas of the education and educational technology.

Readings in Machine Learning
Readings in Machine Learning

Author: Jude W. Shavlik

Publisher: Morgan Kaufmann

Published: 1990

Total Pages: 868

ISBN-13: 9781558601437

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The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous growth in the field, and this growth promises to continue with valuable contributions to science, engineering, and business. Readings in Machine Learning collects the best of the published machine learning literature, including papers that address a wide range of learning tasks, and that introduce a variety of techniques for giving machines the ability to learn. The editors, in cooperation with a group of expert referees, have chosen important papers that empirically study, theoretically analyze, or psychologically justify machine learning algorithms. The papers are grouped into a dozen categories, each of which is introduced by the editors.

Programming for Software Sharing
Programming for Software Sharing

Author: D.T. Muxworthy

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 280

ISBN-13: 9400971451

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Most computer users are familiar with the problems of sharing software with others, and the transfer of programs from one computing environment to another. Software represents an ever-increasing proportion of the cost of computing and these costs tend to nullify all the economic advantages flowing from the wider availability of cheap hardware. Years ago it was hoped that the widespread use of high-level programming languages would help in alleviating the problems of software production, by increasing productivity and by making it simpler for users with similar problems to be able to use the same programs, possibly on different types of machines. It is a common experience that in practice this simple optimism has proved to be unfounded. It was these considerations which led us in 1979 to organize a two-week course on "Programming for Software Sharing" at the European Community Joint Research Centre, Ispra Establishment (Italy), forming part of the regular series of "Ispra Courses". With prominent invited lecturers, local contributions and through discussion sessions we examined with an audience from many countries the problems involved in the sharing and transfer of software, as well as suggesting ways of overcoming them. In our local environment we are faced daily with three problems both from engagements in software exchange in the scientific-technical field on a Europe-wide or world-wide basis, and from work with programming techniques and contributions to the international standardization process.

Mindstorms
Mindstorms

Author: Seymour A Papert

Publisher: Basic Books

Published: 2020-10-06

Total Pages: 272

ISBN-13: 154167510X

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In this revolutionary book, a renowned computer scientist explains the importance of teaching children the basics of computing and how it can prepare them to succeed in the ever-evolving tech world. Computers have completely changed the way we teach children. We have Mindstorms to thank for that. In this book, pioneering computer scientist Seymour Papert uses the invention of LOGO, the first child-friendly programming language, to make the case for the value of teaching children with computers. Papert argues that children are more than capable of mastering computers, and that teaching computational processes like de-bugging in the classroom can change the way we learn everything else. He also shows that schools saturated with technology can actually improve socialization and interaction among students and between students and teachers. Technology changes every day, but the basic ways that computers can help us learn remain. For thousands of teachers and parents who have sought creative ways to help children learn with computers, Mindstorms is their bible.

Walden Two
Walden Two

Author: B. F. Skinner

Publisher: Hackett Publishing

Published: 2005-07-15

Total Pages: 321

ISBN-13: 1603840362

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A reprint of the 1976 Macmillan edition. This fictional outline of a modern utopia has been a center of controversy ever since its publication in 1948. Set in the United States, it pictures a society in which human problems are solved by a scientific technology of human conduct.

Teaching at Its Best
Teaching at Its Best

Author: Linda B. Nilson

Publisher: John Wiley & Sons

Published: 2010-04-20

Total Pages: 401

ISBN-13: 0470612363

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Teaching at Its Best This third edition of the best-selling handbook offers faculty at all levels an essential toolbox of hundreds of practical teaching techniques, formats, classroom activities, and exercises, all of which can be implemented immediately. This thoroughly revised edition includes the newest portrait of the Millennial student; current research from cognitive psychology; a focus on outcomes maps; the latest legal options on copyright issues; and how to best use new technology including wikis, blogs, podcasts, vodcasts, and clickers. Entirely new chapters include subjects such as matching teaching methods with learning outcomes, inquiry-guided learning, and using visuals to teach, and new sections address Felder and Silverman's Index of Learning Styles, SCALE-UP classrooms, multiple true-false test items, and much more. Praise for the Third Edition of Teaching at Its BestEveryone veterans as well as novices will profit from reading Teaching at Its Best, for it provides both theory and practical suggestions for handling all of the problems one encounters in teaching classes varying in size, ability, and motivation." Wilbert McKeachie, Department of Psychology, University of Michigan, and coauthor, McKeachie's Teaching TipsThis new edition of Dr. Nilson's book, with its completely updated material and several new topics, is an even more powerful collection of ideas and tools than the last. What a great resource, especially for beginning teachers but also for us veterans!" L. Dee Fink, author, Creating Significant Learning ExperiencesThis third edition of Teaching at Its Best is successful at weaving the latest research on teaching and learning into what was already a thorough exploration of each topic. New information on how we learn, how students develop, and innovations in instructional strategies complement the solid foundation established in the first two editions." Marilla D. Svinicki, Department of Psychology, The University of Texas, Austin, and coauthor, McKeachie's Teaching Tips