- 474 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
The Data Science Handbook
About this book
The field of data science integrates statistics, computing, and domain expertise to transform raw data into actionable knowledge. As organizations rely increasingly on data-driven insights, mastering analytical tools and methodologies has become essential. The Data Science Handbook offers a comprehensive overview of the data science workflow, from data collection and cleaning to modeling and visualization. The book discusses statistical inference, machine learning algorithms, and big data technologies. It also examines data ethics, reproducibility, and communication of results. Featuring real-world applications and coding examples, it serves as both a learning resource and a practical reference for aspiring data scientists and professionals in analytics-driven fields.
Information
Subtopic
Data MiningIndex
Computer ScienceTable of contents
- Cover
- Title Page
- Copyright
- About the Author
- Brief Contents
- Table of Contents
- List of Figures
- Preface
- CHAPTER 1: UNDERSTANDING DATA SCIENCE
- CHAPTER 2: PROGRAMMING LANGUAGES
- CHAPTER 3: DATA MUNGING: STRING MANIPULATION, REGULAR EXPRESSIONS, AND DATA CLEANING
- CHAPTER 4: VISUALIZATIONS AND SIMPLE METRICS
- CHAPTER 5: MACHINE LEARNING
- CHAPTER 6: TECHNICAL COMMUNICATION AND DOCUMENTATION
- CHAPTER 7: UNSUPERVISED LEARNING: CLUSTERING AND DIMENSIONALITY REDUCTION
- CHAPTER 8: REGRESSION
- CHAPTER 9: DATA ENCODINGS AND FILE FORMATS
- CHAPTER 10: BIG DATA
- CHAPTER 11: DATABASES
- CHAPTER 12: NATURAL LANGUAGE PROCESSING
- INDEX
- Back Cover
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Yes, you can access The Data Science Handbook by Nastaran Nazar Zadeh in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over 1.5 million books available in our catalogue for you to explore.