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Courses
- Microsoft Azure ML
Course Topics
Level 1 : Technical and Non-Technical Community
Chapter 1 – Introduction to Machine Learning
- Introduction to AI and Machine Learning
- Supervised, Semi-Supervised, Un-Supervised ML
- Classification, Regression and Clustering in ML
Summary and Interactive Quiz
Chapter 2 – Introduction to Azure ML
- Azure ML overview and High Level Architecture
- Azure ML Studio
- Azure ML Data Processing
Summary and Interactive Quiz
Level 2 : Technical Community
Chapter 3 – Classification using Azure ML
- Logistic Regression
- Decision Tree
- Decision Forest
- SVM
Summary and Interactive Quiz
Chapter 4 – Regression Analysis using Azure ML
- Linear Regression
- Gradient Descent
- Regression Tree
Summary and Interactive Quiz
Chapter 5 - Recommendation System using Azure ML
- Introduction
- Data Preparation using Recommender Split
- Matchbox Recommender and Train Matchbox Recommender
Summary and Interactive Quiz
Chapter 6 - Text Analysis and Natural Language Processing
- Introduction
- Text Pre-Processing
- Bag Of Words and N-Gram Models
- Feature Hashing
Summary and Interactive Quiz
Chapter 7 - Clustering and Feature Selection
- Cluster Analysis
- Introduction to Feature Selection
- Pearson Correlation Coefficient
- Kendall Correlation Coefficient
- Spearman's Rank Correlation
- Chi Square Test of Independence
Summary and Interactive Quiz
Chapter 8 - Webservice in Azure ML
- Overview
- Deploy Machine Learning Model As a Web Service
Summary and Interactive Quiz
Chapter 9 - Mini Assignment
Assignment to be done offline and submitted to the trainer for evaluation and feedback.
