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Data Science

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Data ScienceBy: John D. Kelleher, Brendan Tierney Series: The MIT Press Essential Knowledge series 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

By: John D. Kelleher, Brendan Tierney   | Series: The MIT Press Essential Knowledge series 
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.

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SKU: 43633043789

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Bought a 3-year protection plan for a nut milk maker machine for $5.99. It was a fairly new kitchen item in our household and we were not familiar with the brand. So, I bought the plan for a piece (peace) of mind. The machine worked nicely for about 18-20 months with daily use until it tripped the circuit outlet. My initial chat with Asurion did not go as I expected due to discrepancy on their end as they see a protection plan for the nut milk maker as a sporting goods valued between $100-$199, not as a kitchen item valued between $30-$39.99. ( I had bought 3 different protection plan on th same day for multiple items purchased on Prime Days). They were looking at a different plan and I was unable to get them to "scroll over" to the appropriate protection plan. I tried again on a different day during the first hour of their contact hours and had a cheerful Asurion agent who was able to find the appropriate kitchen item protection plan. It was a simple and thorough conversation and transaction. I was refunded within hours after I packed up and dropped off the damaged item out to UPS. Moral of the story: Asurion Protection Plan is worth it and contact them at the start of their first day shift, not at the end of their evening shift.
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