Data Science (The MIT Press Essential Knowledge series)

Data Science (The MIT Press Essential Knowledge series) image

Overview
Review
Comments
Download PDF

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.

Details e-book Data Science

🗸 Author(s):
🗸 Title: Data Science (The MIT Press Essential Knowledge series)
🗸 Rating : 4.5 from 5 stars (371 reviews)
🗸 Languange: English
🗸 Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
🗸 Supported Devices: Android, iOS, PC and Amazon Kindle


Readers' opinions about Data Science by John D. Kelleher

Kendal Jennings
Dive into an epic fantasy novel where heroes embark on a perilous quest to save their world from an ancient evil. The world-building is richly detailed, immersing readers in a realm of magic and adventure. With its unforgettable characters and breathtaking action scenes, this book is sure to captivate readers of all ages.
/
Ella Carr
Delve into the pages of this thought-provoking philosophical treatise, where the author grapples with some of life's most profound questions. From the nature of existence to the meaning of morality, each chapter offers a fresh perspective on the human condition. With its rigorous logic and elegant prose, this book is sure to spark lively debate and introspection.
/
Blysse Bond
This poignant memoir offers a deeply personal account of one woman's journey to overcome adversity and find redemption. From childhood trauma to adult struggles, the author shares her experiences with honesty and vulnerability, offering hope and inspiration to readers facing their own challenges. With its raw emotion and powerful storytelling, this book is a testament to the resilience of the human spirit.
/

Niles and Bradford: Baseball Bully Keto Air Fryer Cookbook for Beginners: 150 Ketogenic Low Carb Recipes for No-Stress Weight Loss and Lifelong Wellness Teaching and Learning at a Distance: Foundations of Distance Education 7th Edition (NA) Semiotics: The Basics AP Computer Science A Premium, 2022-2023: Comprehensive Review with 6 Practice Tests + an Online Timed Test Option (Barron’s Test Prep) Madhouse: A Suspenseful Horror Poses for Artists Volume 3 – Fighting and Various Poses: An essential reference for figure drawing and the human form (Inspiring Art and Artists) Children of Dune Big Lies in a Small Town How to Make a Slave and Other Essays (21st Century Essays)


Preparing the link for download... Please wait in 30 seconds
DOWNLOAD FILE

Leave a Reply

Your email address will not be published. Required fields are marked *