Appendix: Intro to Probability and Statistics
Chapter in the book
Publisher:Mercury Learning and Information
Paid access
|Jan 2022
Table of contents
Frontmatter
Contents
Preface
Chapter 1: Introduction to R
Chapter 2: Loops, Conditional Logic, and Dataframes
Chapter 3: Working with Functions in R
Chapter 4: NLP Concepts (I)
Chapter 5: NLP Concepts (II)
Chapter 6: NLP in R
Chapter 7: Transformer, BERT, and GPT
Appendix: Intro to Probability and Statistics
Index
12 chapters available
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PDF ISBN: 978-1-68392-729-7 | E-Pub ISBN: 978-1-68392-728-0 | Paperback ISBN: 978-1-68392-730-3 | DOI: 10.1515/9781683927297
Publisher: Mercury Learning and Information
Copyright owner: © 2022 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2022
Language: English
Pages: 246
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