What you'll learn?
Master gradients with mathematical rigour and hands-on coding—learn to compute derivatives, visualise gradient fields, and implement optimisation algorithms like momentum and Adam. Apply these powerful techniques to machine learning, engineering, finance, medicine, and speech recognition, gaining practical AI/ML skills that set you apart in global careers.
Description
Course Outcomes:
- Compute gradients of multivariable functions using partial derivatives and implement gradient descent algorithms in Python with convergence to optimal solutions within specified tolerance
- Apply gradient-based optimisation to real-world problems including portfolio optimisation, options pricing, and medical image processing with demonstrable improvement from baseline methods
- Feel confident in implementing mathematical concepts from research papers into working Python code for machine learning applications
Course content
Total:
10 lectures
Total Duration:
0 seconds
the instructor
M SANJEEVA REDDY
Future-ready mathematics innovator, blending AI, machine learning, and timeless principles to make math accessible and empowering.