A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.
✔ Author(s): John D. Kelleher,Brendan Tierney
✔ Title: Data Science (The MIT Press Essential Knowledge series)
✔ Rating : 4.5 out of 5 base on (528 reviews)
✔ ISBN-10: 0262535432
✔ ISBN-13: 9780262535434
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
Readers' opinions about Data Science by John D. Kelleher
Lucy Garraway
This book has reignited my passion for reading. It reminded me of the sheer joy that can be found in losing oneself in the pages of a good story. I can't wait to explore more books now.
Tasha Cobbett
The themes of resilience and hope resonated deeply with me. This book taught me valuable life lessons that I'll carry with me for years to come.
Violet Tyler
This is a book I'll cherish and recommend to everyone. It touched my soul and made me reflect on life's profound mysteries.
