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AI for Tech

Numerical Methods of Machine Learning

AI is moving fast, but its foundations remain essential. This program guides learners step-by-step through the numerical methods that make modern training algorithms possible. It’s a clear, practical, and accessible introduction for anyone who wants to understand how machine learning models learn.
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Build a solid foundation in the numerical principles that power ML and prepare yourself to advance into more technical topics with confidence.
Duration
30 hours
Level
Advanced

Who is this program for

This course is built for:
Individuals with no prior experience in technology or IT
Learners who want a solid mathematical foundation before moving to more advanced ML topics
Teams that are curious about how machine learning algorithms work
Man wearing glasses and a black turtleneck sweater typing on a laptop at a wooden desk with a smartphone placed beside it.

Recommended prerequisites

Your team feels comfortable with basic arithmetic and algebra
Your team enjoys learning step-by-step with examples and guided practice
Your team wants a strong foundation before advancing toward more complex tools

Modules Overview

Throughout the program, you’ll work with Python to implement numerical methods and explore how training algorithms behave in real scenarios. You’ll also use CatBoost to understand the basics of modern boosting.

9 Modules
Module 1. Course overview
Module 2. Entry Assessment
Module 3. Algorithm Analysis
Module 4. Gradient Descent
Module 5. Gradient Descent Training
Module 6. Gradient Boosting
Module 7. Course Project
Module 8. Final Assessment
Module 9. Conclusion

Get in Touch!

You’re just one email away from transforming your company!

Our team will reach out to understand your strategic objectives and craft a tailored solution thatmeets your specific needs.
Fill in the form
Learn about our product
Receive a personalized offer based on your company’s needs
We will reach out to understand your objectives and craft a solution that means to you