Course Structure
The course will be conducted in a hands-on manner. Each class will start with a lecture where a topic will be discussed. The students will then complete the exercises related to the topic.
Image From: VIA Technologies Inc.
About the course
The course will provide a quick introduction to Python and the theoretical foundations of basic concepts in machine learning and artificial intelligence. We will look into the following topics in detail"
- Linear and Logistic Regression
- Simple Neural Networks
- Convolutional Neural Network
We will cover both the theoretical aspects and practical implementation of these algorithms on small scale problems.
Theoretical Setup
Derivation of the detailed setup of Artificial Intelligence and Machine Learning algorithms
Coding the Algorithms
Setup of Artificial Intelligence and Machine Learning algorithm in Python and Python based packages (PyTorch, TensorFlow)
Hands-on Exercise
A set of exericese to understand and merge the theoretical and practical aspects of Artificial Intelligence and Machine Learning algortihms.
About the Instructor
Dr Naeemullah Khan
About
About
Dr Khan is a postdoctoral Reserach Scientist at the Department of Engineering, University of Oxford and a Junior Research Fellow at Lady Margaret Hall, University of Oxford.
Research
Research
The primary focus of Dr. Khan's research is on robust machine learning algorithms for Computer Vision applications.
Content
Teaching
Dr. Khan has created and delivered courses on Artificial Intelligence and Machine Learning at Department of Engineering at University of Oxford, Lady Margaret Hall, University of Oxford, and King Abdullah University of Science and Technology (KAUST) among others.
Teaching Statistics
Total Students
Number of Courses Conducted
Number of Countries
Years of Experience