The Math for Machine Learning course is ideal for those curious about the mathematical foundations of machine learning models. You’ll dive into key topics like probability distributions, sampling methods, hypothesis testing, linear algebra, matrix operations, and calculus-based optimization. Each concept is tied back to machine learning models, showing how these calculations are applied in pre-built libraries. By the end of the course, you’ll gain a deeper mathematical understanding of the mechanics behind various machine learning models.
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This module shows the necessary setup and importance of math in ML
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This module covers the general mathematical concepts that are involved in the Machine Learning process.
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This module explains the essential statistics distributions used in data science.
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This module teaches the definition of key terms and different sampling techniques.
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This module explores the various methods to test hypothesis.
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This module explains the basics of vector and matrix operations.
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This module demonstrates working with linear equations to find possible solutions.
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This module applies mathematical concepts in linear regression to real-life scenario.
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This module examines the effects of eigen values and eigen vectors on ML models.
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This module uses derivative to determine the optimal values.
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This module extends the application of derivatives into partial derivatives.
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This module applies Taylor Series in ML models.
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This module optimizes the models using gradient descent.
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By the end of this course, participants will be able to:
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The course is structured into weekly modules, each containing video lectures, reading materials, assignments, and quizzes. You can complete the modules at your own pace, but we recommend following the weekly schedule to stay on track.
You can get support in multiple ways:
TAs are available on Slack from 9 AM to 6 PM (ET) Monday to Friday. Outside these hours, you can still post your questions, and TAs will respond as soon as they are back online.
After enrolling in the course, you will receive an invitation link to join the Discord community. Follow the link to create an account or log in to your existing account.
The Discord community offers peer-to-peer support, where you can discuss course topics, share resources, collaborate on projects, and network with fellow learners
The optional mentoring service includes one-on-one sessions with an experienced mentor who can provide personalized guidance, feedback on your progress, and help you set and achieve your learning goals.
Please talk to our Program Advisors to sign up for Mentorship services for an additional cost
Yes, you will have lifetime access to the course materials, including any updates made to the content in the future.
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