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Statistics & Math for ML
Hyrespot Match
Learn Optimisation from Scratch
Master Optimisation with hands-on projects and real-world examples
By Anjali Rao
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Basic
English
0 learners
What you'll learn
- Understand the core concepts of Optimisation and how they fit together
- Build hands-on projects using Optimisation that you can add to your portfolio
- Apply Optimisation to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Optimisation mistakes
- Gain the confidence to use Optimisation at work and in interviews
Skills you'll gain
Optimisation
Practical Projects
Debugging
Best Practices
Problem Solving
Statistics & Math for ML
About this course
Learn Optimisation the practical way. This Data Science & AI course focuses on doing: you'll work through real examples in Statistics & Math for ML, understand the why behind each technique, and finish with projects for your portfolio. Anjali Rao keeps things clear and example-led, so you build genuine, transferable skill. By the end you'll be ready to use Optimisation confidently at work and in interviews.
Curriculum
Getting Started
- Welcome and what you'll build video · 15:00 ▶ Free preview
- Optimisation in 10 minutes video · 16:00 ▶ Free preview
- Your first Optimisation walkthrough video · 17:00
Core Concepts
- Your first Optimisation walkthrough video · 10:00
- Hands-on exercise video · 11:00
- Building the project — part 2 video · 12:00
- Best practices from industry video · 13:00
Hands-On Practice
- Debugging and troubleshooting video · 17:00
- Performance and optimisation video · 06:00
- Testing your work video · 07:00
- Welcome and what you'll build video · 08:00
- Optimisation in 10 minutes video · 09:00
Building Real Projects
- Welcome and what you'll build video · 12:00
- Optimisation in 10 minutes video · 13:00
- Your first Optimisation walkthrough video · 14:00