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MasterTrack in Machine Learning for Analytics 

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MasterTrack in Machine Learning for Analytics
 at 
UChicago 
Overview

Master AI algorithms, data mining techniques, and predictive analytics to solve real-world business problems using machine learning

Duration

5 months

Total fee

3.13 Lakh

Mode of learning

Online

Course Level

PG Degree

MasterTrack in Machine Learning for Analytics
 at 
UChicago 
Highlights

  • Earn a certificate of completion from The University of Chicago
Details Icon

MasterTrack in Machine Learning for Analytics
 at 
UChicago 
Course details

Skills you will learn
More about this course
  • In this program student will learn to create, refine, and evaluate machine-learning models by working on real-world data with a TA, instructor, and fellow students
  • The first two mini-classes focus on statistics for machine learning?allowing you gain the tools you need to make tight inferences and conduct experiments using your models
  • In the last two mini-classes, you turn to machine learning proper and learn sophisticated techniques to detect patterns and create models to make predictions
  • The emphasis throughout is on developing a firm understanding of the theory that underpins practice so that you approach machine learning in a thoughtful, critical way

MasterTrack in Machine Learning for Analytics
 at 
UChicago 
Curriculum

Statistical Thinking for Machine Learning

Sourcing, organizing, and managing data

Probability and distributions

Descriptive analytics

Statistical tests and causation

Modeling techniques

Manipulating data to prepare it for analysis

Advanced Statistical Thinking for Machine Learning

Multivariate linear regressions

Variable transformations

Binary classification

Working with data and outliers

Experiment design and natural experiments

Introduction to Machine Learning

Principles and process of machine learning

Different categories of machine learning

Statistical approaches to regression

Types of regularization to improve models

Multi-class classification and SVMs

Advanced Applications

Building decision trees from scratch

Neural networks

Implementing unsupervised learning techniques

Dimensionality reduction

Tools to better address machine-learning tasks

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MasterTrack in Machine Learning for Analytics
 at 
UChicago 
Contact Information

Address

Edward H. Levi Hall 5801 South Ellis Avenue Chicago, Illinois 60637 USA
Chicago ( Illinois)

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