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1
Introduction
2
Data Science
3
Where Do You Stand
4
Regression
5
Limitations of Regression
6
Linear Programming
7
Nonlinear Programming
8
Decision Trees
9
KNearest Neighbor
10
Value Potential
11
Clustering
12
Ensemble
13
Ensemble Regression
14
Adaboost
15
SVM
16
Neural Networks
17
Deep Learning
18
Deep Learning Competition
19
Data Science Operationally
20
Do I Create Value
21
Scale Stock Price
22
The Plot
23
The Role of Intuition
24
Google Maps
25
Recap
26
Thank You
27
Voodoo Math
28
Tools
29
Screen Sharing
30
Crystal Reports
31
OpenRefine
32
Resources
33
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Description:
Explore the world of data analytics for business leaders in this 50-minute conference talk from the PASS Data Community Summit. Learn how to bridge the gap between technical data scientists and business executives, connecting strategic goals with analytical capabilities. Gain insights into focusing investments in analytics and technology, distilling complex subject matter into comprehensible examples, and accelerating the path to value for analytics initiatives. Discover key concepts such as regression, linear programming, decision trees, clustering, ensemble methods, and deep learning. Understand the role of intuition in data science and how to operationalize analytics in your organization. Presented by a Predictive Analytics Architect in the Oil and Gas industry, this talk aims to demystify data analytics and empower business leaders to make informed decisions in an increasingly data-driven world.

Data Analytics Explained for Business Leaders

PASS Data Community Summit
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