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Capitalizing Data Science
Paperback
€36.24
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- Book Synopsis
- Firstly, the book explores the evolution of decision-making based on empirical evidence. The book then helps compare the data-supported era with the current data-led era. It also discusses how to successfully run a data science project, the lifecycle of a data science project, and what it looks like. The book dives fairly in-depth into various today's data-led applications, highlights example datasets, discusses obstacles, and explains machine learning models and algorithms intuitively.This book covers structural and organizational considerations for making a data science team. The book helps recommend the use of optimal data science organization structure based on the company's level of development. Finally, the book explains data science's effects on businesses by assisting technological leaders.
- About The Author
- Mathangi Sri has a proven track record in building world-class data science solutions and products. She has overall 20 patent grants in the area of intuitive customer experience and user profiles. She authored and published a book with Apress, Springer - "Practical Natural Language Processing with Python" She is currently the Chief Data Officer at Yubi. She has previously built data science teams across large organizations like Citibank, HSBC, GE and tech startups like 247.ai, PhonePe, and Gojek.
- Product Details
-
- ISBN
- 9789355511584
- Format
- Paperback
- Publisher
- BPB Publications, (27 January 2023)
- Number of Pages
- 254
- Weight
- 412 grams
- Language
- English
- Dimensions
- 235 x 190 x 15 mm
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