[PDF] The Data Science Design Manual By Steven S. Skiena Free Download

Download Steven S. Skiena by The Data Science Design Manual – The Data Science Design Manual written by Steven S. Skiena is very useful for Computer Science and Engineering (CSE) students and also who are all having an interest to develop their knowledge in the field of Computer Science as well as Information Technology. This Book provides an clear examples on each and every topics covered in the contents of the book to provide an every user those who are read to develop their knowledge.

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Description of a Book

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

About Author

Dr. Steven S. Skiena is Distinguished Teaching Professor of Computer Science at Stony Brook University, with research interests in data science, natural language processing, and algorithms. He was awarded the IEEE Computer Science and Engineering Undergraduate Teaching Award “for outstanding contributions to undergraduate education and for influential textbooks and software.” Dr. Skiena is the author of six books, including the popular Springer titles The Algorithm Design Manual and Programming Challenges: The Programming Contest Training Manual.

Book Details

The Data Science Design Manual written by Steven S. Skiena detailed in the below table…

Name of the Book	The Data Science Design Manual
Name of the Author(s)	Steven S. Skiena
Language	English

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