Postgraduate Diploma in Machine Learning and Artificial Intelligence (E-Learning)

Curriculum

Module 1: Applied Machine Learning

Supervised Learning

  • Regression
    Maximum Likelihood, Least Squares, Regularization
  • Bayesian Methods
    Bayes Rule, MAP Inference, Active Learning
  • Foundational Classification Algorithms
    Nearest Neighbors, Perceptron, Logistic Regression
  • Refinements to Classification
    Kernel Methods, Gaussian Process
  • Intermediate Classification Algorithms
    SVM, Trees, Forests and Boosting

Unsupervised Learning

  • Clustering Methods
    K-Means Clustering, E-M, Gaussian Mixtures
  • Recommendation Systems
    Collaborative Filtering, Topic Modeling, PCA
  • Sequential Data Models
    Markov and Hidden Markov Models, Kalman Filters
  • Association Analysis
    Maximum
  • Clustering Methods - II
    Model Comparisons, Analysis Considerations
Module 2: Applied Artificial Intelligence
  • Introduction to Artificial Intelligence
  • Intelligent Agents and Uninformed Search
  • Heuristic Search
  • Adversarial Search and Games
  • Constraint Satisfaction Problems
  • Reinforcement Learning
  • Logical Agents
  • AI applications: Natural Language Processing
  • AI Applications and Course Review
Module 3: Capstone Project
PREREQUISITES: The diploma requires an undergraduate knowledge of statistics (descriptive statistics, regression, sampling distributions, hypothesis testing, interval estimation etc.), calculus (derivatives), linear algebra (vectors & matrix transformation) and probability (conditional probability/Bayes theorem).

The admission process will involve a short screening test on the above topics to assess participant readiness for the diploma.

Participants are required to possess an intermediate knowledge of Python since all assignments/application projects will be done using the Python programming language. Emeritus offers a complimentary Python for Data Analytics certificate course to meet this prerequisite. Participants who successfully complete this certificate course will receive a certificate of completion from Emeritus Institute of Management.



APPLICATION ASSIGNMENTS

Movie Recommendation Engine

House Price Prediction

Human Activity Recognition

Credit Card Fraud Detection

Market Segmentation

Search Algorithms

Adversarial Search and Games

Machine Learning

Constraint Satisfaction Problems

Reinforcement Learning

Natural Language Processing

GET PROGRAM INFO

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APPLICATION DETAILS

Diploma fee: USD 3,000Application Fee: (Non-Refundable) USD 50 Diploma Starts: 10 September 2020Application Deadline: 08 September 2020

APPLICATION DETAILS

Diploma fee: USD 3,000
Application Fee: (Non-Refundable) USD 50 
Diploma Starts: 10 September 2020
Application Deadline: 08 September 2020

 

GET PROGRAM INFO

Take the first step to a Global Education

Your details will not be shared with third parties. Privacy Policy

 

APPLICATION DETAILS

Diploma fee: USD 3,000Application Fee: (Non-Refundable) USD 50 Diploma Starts: 10 September 2020Application Deadline: 08 September 2020

Emeritus - Online Certificate Courses | Diploma Programs