Mathematics for Machine Learning (Free Online Course) – Mathematics forms the foundation of machine learning, enabling algorithms to process and analyze data effectively. This course introduces key mathematical concepts essential for understanding and building machine learning models. Topics include linear algebra, calculus, probability, and optimization—core tools for working with data, defining models, and improving performance. Designed for beginners and practitioners alike, this course bridges the gap between theory and application, making complex ideas accessible and practical. Whether you’re aspiring to develop intelligent systems or enhance your analytical skills, mastering mathematics for machine learning is your first step toward success in the field.
What You Will Learn?
| What is calculus? |
| Multivariate calculus |
| Multivariate chain rule and its applications |
| Taylor series and linearisation |
| Intro to optimisation |
| Regression |
Skills You Will Gain
- Linear Regression
- Vector Calculus
- Multivariable Calculus
- Gradient Descent
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Coursera Course Enrollment Process
Step 1 – Visit the Course Page
Click on the Orange Button below – GET THE FREE ONLINE COURSE to access the Course Page.
Step 2 – Sign Up or Log In
Click on the “Sign Up” or “Log In” button located at the top-right corner of the page. You can register using your email address, Google account, or Facebook account.
Step 3 – Enroll for FREE
Once you’re logged in, select the “Enroll Now” option to gain access to the course materials.
Step 4 – Begin Your Learning Journey: After clicking “Start Learning,” you will be seamlessly redirected to your personalized dashboard, where you can embark on your course at your own pace !
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