**Artificial Intelligence and
Machine Learning**

**Pradipta
Biswas, PhD (Cantab)**

**Intelligent
Inclusive Interaction Design Lab**

Assistant
Professor

**Email:** pradipta AT iisc
DOT ac DOT in

## Prerequisite·
Basic knowledge of Mathematics ·
Basic knowledge of probability and statistics ·
C++ and preferably C# or VB.Net programming skill |
## What you get·
Introduction to different AI algorithms ·
Introduction to Machine Learning ·
Case Studies ·
Qualitative and Quantitative Data Analysis |

·
**Lecture 1:** Introduction to Artificial
Intelligence, Case Studies from Fashion Technology [Lecture notes] [Case Studies]

·
**Lecture 2:** Heuristic Search Algorithms,
Complexity Analysis, State Space Modelling, Application on developing
Intelligent User Interface [Lecture notes]

·
**Lecture 3:** Uncertainty Modelling, Conditional
Probability, Bayes’ Rule, Certainty Factor, Expert System [Lecture notes] [Expert System Example]

·
**Lecture 4: **Bayesian Inferencing, Bayesian
Network, Naïve Bayes Classifier [Lecture notes] [Case Study]

· **Lecture 5:**** **Introduction to Machine Learning, Classification and
Clustering, Backpropagation Neural Network, Cluster Validation Index, Case
study on predicting pointing target [Lecture Notes] [Neural Network Example]

·
**Lecture 6: **Quantitative Data Analysis,
Statistical Hypothesis Testing, Parametric and Non Parametric Tests, t-test,
ANOVA, Chi-Square tests, APA Reporting Style [Lecture Notes] [Sample
dataset and analysis]

·
**Lecture 7:** Case studies on image processing and
computer vision [Lecture I] [Lecture II]

·
**Workshop on CLIPS Expert System, ML
toolboxes and eye gaze tracking sensors**

·
**Lecture 8: **Qualitative Data Analysis, Different
Techniques to collect Qualitative Data, Introduction to Analysing Free Text
Data [Lecture Notes]

·
**Lecture 9:**** **Sequential
Decision Process, MDP, Case Study on developing a cognitive model [Lecture
Notes]

·
**Lecture 10: **Partial Order Planning [Lecture
Notes]

Russell S and Norvig
P., A Modern Approach to Artificial Intelligence

Field A., Statistics with SPSS