Download Introduction to Predictive Data Analytics

Artificial Intelligence
and Machine Learning
Introduction --- Predictive Data Analytics
1
What is Predictive Data Analytics?


Analytics is the systematic computational analysis of data or
statistics, that leads to discovery, interpretation, and
communication of meaningful patterns in data.
Predictive Data Analytics encompasses the business and
data processes and computational models that enable a
business to make data-driven decisions.
2
Predictive Data Analytics
3
Potential Applications (I)


Intelligence gathering

Tracking terrorists

Detecting fraud
Marketing and Customer Relationship

Propensity modelling

Price prediction

Risk assessment
4
Potential Applications (II)


Internet Analysis and Security

Spam detection

Document classification
Scientific Applications

Bioinformatics/genomics

Dosage prediction

Diagnosis

Astronomical data processing
5
How can machine learning help with
predictive data analytics?



What predictive data analytics wants to
achieve: data to patterns (models)
What machine learning can achieve:
a set of historical examples (data) to models
Machine learning techniques in predictive
data analytics automatically learn a model of
the relationship between a set of descriptive
features and a target feature.
6
Predictive Data Analytics Steps





Understanding Domain Knowledge (the
Business)
Collecting/Preparing the Data
Selecting the ML Algorithm to Build the Model
Evaluating/Testing the Model
Deploying the Model
7
Predictive Data Analytics Steps
8