Data science and machine learning in R
Material type:
TextPublication details: Chennai McGraw Hill Education (India) Pvt. Ltd. 2021 Description: xxiii, 472 pISBN: 9789354600333Subject(s): Data Science | Machine LearningDDC classification: 006.31 Summary: OVRERVIEW
The book has been designed keeping in mind the needs of the beginners of this subject area while having no prior knowledge in this field. It is aimed to be used as a textbook for undergraduate and postgraduate students. However, it can also be used by research scholars and professionals. The text introduces the concepts of R programming language in a lucid way and enables the reader to use these to perform data science and machine learning applications for solving real-world problems. Every chapter in this book contains multiple programming exercises and examples that enhance the understanding of the subject.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Book
|
Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 006.31 THA (Browse shelf(Opens below)) | 1 | Available | 002474 |
Chapter 1: Introduction to Data Sciences and Machine Learning Chapter 2: Machine Learning Algorithms
Chapter 3: Machine Learning Algorithms - II
Chapter 4: Introduction to R
Chapter 5: More on Data Structures
Chapter 6: Decision Control and Looping Statements
Chapter 7: Generating and Manipulating Data in R Chapter
8: Working with Data Chapter
9: Using dplyr () and tidyr () packages Chapter
10: Plotting graphs in R Chapter
11: Social Media Mining Chapter
12: Implementing Machine Learning Algorithms Chapter
13: Implementing Machine Learning Algorithms - II Index Online Content Appendices Case Studies
OVRERVIEW
The book has been designed keeping in mind the needs of the beginners of this subject area while having no prior knowledge in this field. It is aimed to be used as a textbook for undergraduate and postgraduate students. However, it can also be used by research scholars and professionals. The text introduces the concepts of R programming language in a lucid way and enables the reader to use these to perform data science and machine learning applications for solving real-world problems. Every chapter in this book contains multiple programming exercises and examples that enhance the understanding of the subject.
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