Demystifying Probability and Statistics for Data Scientists With R

This book illustrates statistics with the R programming language, an emerging tool in data science. Filled with techniques for data science and analytics programming, the book is written for students and professionals. It is focused on learning outcomes and problem solving.

Inhaltsverzeichnis

1. Demystifying the Data Science Paradigm 2. Illustrating Machine Learning (ML) Algorithms 3. Data Science with R 4. Types of Data and Collection Methods 5. Data Visualization Methods 6. Data Description 7. Probability Basics 8. Random Variables and Distributions 9. Sampling Methods and Confidence Intervals and Hypothesis Testing 10. Design of Experiments 11. Correlation and Regression 12. Chi Square Test 13. Non-Parametric Tests

Über den Autor / die Autorin

Dr. Dheva Rajan S. presently works as a professor at University of Technology and Applied Sciences, Al Mussanah, Oman. He has more than 15 years of experience in academics and research.
Dr. Pethuru Raj is a chief architect at Reliance Jio Platforms Ltd. (JPL) Bangalore.
Dr. Selvagopal P. presently is the Head of the Department of Mathematics in Anna Vinayagar Arts & Science College, Nagercoil, India.
Dr. B. Sundaravadivazhagan is a professor in the Department of Information Technology at the University of Technology and Applied Sciences-Al Mussanah, Oman. He is a Senior Member of the Institute of Electrical and Electronics Engineers.

Zusammenfassung

This book illustrates statistics with the R programming language, an emerging tool in data science. Filled with techniques for data science and analytics programming, the book is written for students and professionals. It is focused on learning outcomes and problem solving.

Produktdetails

• Autoren: Selvagopal P., Pethuru Raj, Pethuru Raj Chelliah, Dheva Rajan S., Dheva Raj Chelliah Rajan S., B. Sundaravadivazhagn
• Verlag: Taylor & Francis Ltd.
• Sprache: Englisch
• Produktform: Fester Einband
• Erscheint: 05.04.2024, verspätet
• EAN: 9781032729558
• ISBN: 978-1-0-3272955-8
• Seiten: 400
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Programmiersprachen; Software Engineering, COMPUTERS / Computer Science, MATHEMATICS / Probability & Statistics / General, COMPUTERS / Software Development & Engineering / General, computer science, Probability & statistics, Databases, Programming & scripting languages: general, Probability and statistics, Programming and scripting languages: general, COMPUTERS / Database Administration & Management, COMPUTERS / Languages / General