The Data Science Design Manual

The Data Science Design Manual

Author: Steven S. Skiena

Publisher: Springer

Published: 2017-07-01

Total Pages: 456

ISBN-13: 3319554441

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This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)


Cybernetics, Cognition and Machine Learning Applications

Cybernetics, Cognition and Machine Learning Applications

Author: Vinit Kumar Gunjan

Publisher: Springer Nature

Published: 2021-03-30

Total Pages: 439

ISBN-13: 9813366915

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This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.


The Industrial Laser Handbook

The Industrial Laser Handbook

Author: David Belforte

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 321

ISBN-13: 1461228824

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Manufacturing with lasers is becoming increasingly important in modern industry. This is a unique, most comprehensive handbook of laser applications to all modern branches of industry. It includes, along with the theoretical background, updates of the most recent research results, practical issues and even the most complete company and product directory and supplier's list of industrial laser and system manufacturers. Such important applications of lasers in manufacturing as welding, cutting, drilling, heat treating, surface treatment, marking, engraving, etc. are addressed in detail, from the practical point of view. A list of specific companies dealing with manufacturing aspects with lasers is given.