A Simple Introduction To Data Science: Book Two
Taking up where the bestselling A Simple Introduction to Data Science leaves off, Lars Nielsen's A Simple Introduction to Data Science, BOOK TWO expands on elementary concepts introduced in the first volume while at the same time embracing several new and key topics. Coverage includes the art and practice of introducing Data Science to the culture of the enterprise ... Data Science ethics and privacy concerns ... key concepts in data visualization ... the role of Artificial Intelligence, Machine Learning, and Deep Learning ... Data Curation and the "Tribal Knowledge" problem ... Hadoop, R, and Python ... and discussion of how the Data Scientist role will evolve in future.
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A Simple Introduction To Data Science: Book Two
Taking up where the bestselling A Simple Introduction to Data Science leaves off, Lars Nielsen's A Simple Introduction to Data Science, BOOK TWO expands on elementary concepts introduced in the first volume while at the same time embracing several new and key topics. Coverage includes the art and practice of introducing Data Science to the culture of the enterprise ... Data Science ethics and privacy concerns ... key concepts in data visualization ... the role of Artificial Intelligence, Machine Learning, and Deep Learning ... Data Curation and the "Tribal Knowledge" problem ... Hadoop, R, and Python ... and discussion of how the Data Scientist role will evolve in future.
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A Simple Introduction To Data Science: Book Two

A Simple Introduction To Data Science: Book Two

by Lars Nielsen
A Simple Introduction To Data Science: Book Two

A Simple Introduction To Data Science: Book Two

by Lars Nielsen

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Overview

Taking up where the bestselling A Simple Introduction to Data Science leaves off, Lars Nielsen's A Simple Introduction to Data Science, BOOK TWO expands on elementary concepts introduced in the first volume while at the same time embracing several new and key topics. Coverage includes the art and practice of introducing Data Science to the culture of the enterprise ... Data Science ethics and privacy concerns ... key concepts in data visualization ... the role of Artificial Intelligence, Machine Learning, and Deep Learning ... Data Curation and the "Tribal Knowledge" problem ... Hadoop, R, and Python ... and discussion of how the Data Scientist role will evolve in future.

Product Details

ISBN-13: 9780692426555
Publisher: New Street Communications, LLC
Publication date: 04/10/2015
Pages: 62
Product dimensions: 6.00(w) x 9.00(h) x 0.13(d)
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