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Capitalizing Data Science Paperback – 27 January 2023

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Unlock the Potential of Data Science and Machine Learning to Your Business and Organization

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.

What you will learn
● Learn the entire data science lifecycle and become fluent in each phase.
● Discover the world of supervised and unsupervised learning applications and structured and unstructured datasets.
● Discuss NLP's function, its potential, and the application of well-known methods like BERT and GPT3.

Who this book is for
Startups, investors, small businesses, product management teams, CxO and all developing businesses desiring to leverage a data science team to gain the most from this book. The book also discusses the potential of practical applications of machine learning and AI for the future of businesses in banking and e-commerce.
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  1. Print length
    254 pages
  2. Language
    English
  3. Publication date
    27 January 2023
  4. Reading age
    18 years and up
  5. Dimensions
    19.05 x 1.47 x 23.5 cm
  6. ISBN-10
    9355511582
  7. ISBN-13
    978-9355511584
  8. See all details
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Product description

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

  • Publisher ‏ : ‎ BPB Publications (27 January 2023)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 254 pages
  • ISBN-10 ‏ : ‎ 9355511582
  • ISBN-13 ‏ : ‎ 978-9355511584
  • Reading age ‏ : ‎ 18 years and up
  • Item Weight ‏ : ‎ 412 g
  • Dimensions ‏ : ‎ 19.05 x 1.47 x 23.5 cm
  • Country of Origin ‏ : ‎ India

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