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Capitalizing Data Science
Publisher:
BPB Publications
| Author:
Mathangi Sri Ramachandran
| Language:
English
| Format:
Paperback
Publisher:
BPB Publications
Author:
Mathangi Sri Ramachandran
Language:
English
Format:
Paperback
₹719
Save: 10%
In stock
Ships within:
1-4 Days
In stock
ISBN:
Page Extent:
254
Can you foresee how your company and its products will benefit from data science? How can the results of using AI and ML in business be tracked and questioned? Do questions like ‘how do you build a data science team?’ keep popping into your head?
All these strategic concerns and challenges are addressed in this book.
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.
Description
Can you foresee how your company and its products will benefit from data science? How can the results of using AI and ML in business be tracked and questioned? Do questions like ‘how do you build a data science team?’ keep popping into your head?
All these strategic concerns and challenges are addressed in this book.
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 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. She has brought about cultural change & shift in mindsets for adopting data-driven decisions across different startups. She is an active contributor to the Data Science community - through lectures, talks, blogs, and advisory roles. She is a guest faculty in many premium academic institutes across the country like IIIT Sri City, IIM Kashipur, NIT Trichy, etc. She is recognized as one of “The Phenomenal SHE” by Indian National Bar Association in 2019, the 50 most powerful influencers in AI 2022 by Engatica, the top 50 Influential AI leaders in India by Analytics India Magazine in 2021, top AI leaders in India 2021 by 3AI association etc.
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