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Analyzing the Analyzers
Harlan Harris
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Description for Analyzing the Analyzers
Paperback. Num Pages: 80 pages, Illustrations. BIC Classification: UNC. Category: (XV) Technical / Manuals. Dimension: 230 x 166 x 5. Weight in Grams: 134.
There has been intense excitement in recent years around activities labeled "data science," "big data," and "analytics." However, the lack of clarity around these terms and, particularly, around the skill sets and capabilities of their practitioners has led to inefficient communication between "data scientists" and the organizations requiring their services. This lack of clarity has frequently led to missed opportunities. To address this issue, we surveyed several hundred practitioners via the Web to explore the varieties of skills, experiences, and viewpoints in the emerging data science community. We used dimensionality reduction techniques to divide potential data scientists into five categories ... Read more
There has been intense excitement in recent years around activities labeled "data science," "big data," and "analytics." However, the lack of clarity around these terms and, particularly, around the skill sets and capabilities of their practitioners has led to inefficient communication between "data scientists" and the organizations requiring their services. This lack of clarity has frequently led to missed opportunities. To address this issue, we surveyed several hundred practitioners via the Web to explore the varieties of skills, experiences, and viewpoints in the emerging data science community. We used dimensionality reduction techniques to divide potential data scientists into five categories ... Read more
Product Details
Publisher
O´Reilly Media
Number of pages
80
Format
Paperback
Publication date
2013
Condition
New
Weight
134g
Number of Pages
80
Place of Publication
Sebastopol, United States
ISBN
9781449371760
SKU
V9781449371760
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Harlan Harris
Harlan D. Harris is a Senior Data Scientist at Kaplan Test Prep, the Co-Founder and Co-Organizer of the Data Science DC Meetup, and the Co-Founder and President of Data Community DC, Inc. He has a PhD in Computer Science (Machine Learning) from the University of Illinois at Urbana-Champaign and worked as a researcher in several Psychology departments before turning to ... Read more
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