.gif)
Building Data Science Teams
In this in-depth report, data scientist DJ Patil explains the skills,perspectives, tools and processes that position data science teams for success.
Tag(s): Big Data Data Science
Publication date: 01 Sep 2011
ISBN-10: n/a
ISBN-13: n/a
Paperback: 26 pages
Views: 9,136
Building Data Science Teams
In this in-depth report, data scientist DJ Patil explains the skills,perspectives, tools and processes that position data science teams for success.
Tag(s):
Big Data
Data Science
Publication date: 01 Sep 2011
ISBN-10: n/a
ISBN-13: n/a
Paperback: 26 pages
Views: 9,136
Document Type: N/A
Publisher: O’Reilly Media, Inc.
License: n/a
Post time: 10 Apr 2016 12:00:00
Publication date: 01 Sep 2011
ISBN-10: n/a
ISBN-13: n/a
Paperback: 26 pages
Views: 9,136
Document Type: N/A
Publisher: O’Reilly Media, Inc.
License: n/a
Post time: 10 Apr 2016 12:00:00
From the Introduction:
As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills,perspectives, tools and processes that position data science teams for success.
As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills,perspectives, tools and processes that position data science teams for success.
Tweet
About The Author(s)
Book Categories
Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)
Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics
Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management
Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Rexx
Microsoft .NET
Perl
PHP
R
Python
Rebol
Ruby
Scheme
Tcl/Tk
Miscellaneous
Sponsors