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Calculus for Machine Learning and Data Science
Master calculus fundamentals for ML and data science, from derivatives to optimization. Perfect for intermediate learners seeking practical math skills.
Course Cost
Free course
Intermediate
Skill Level
25 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Mathematics for Machine Learning and Data Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
55,253 Enrolled
English
What you'll learn
Analytically optimize machine learning functions using derivatives and gradients
Implement gradient descent in neural networks with various activation functions
Visualize and interpret differentiation of ML functions
Apply optimization techniques to real-world machine learning problems
Master Newton's method for advanced optimization
Skills you'll gain
This course includes:
4.3 Hours PreRecorded video
5 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course covers essential calculus concepts for machine learning and data science. The curriculum focuses on derivatives, optimization techniques, gradient descent, and their applications in neural networks. Through hands-on Python programming exercises and visual explanations, students learn to apply mathematical concepts to real-world machine learning problems. The course emphasizes practical implementation alongside theoretical understanding, making complex mathematical concepts accessible and applicable.
Derivatives and Optimization
Module 1 · 8 Hours to complete
Gradients and Gradient Descent
Module 2 · 7 Hours to complete
Optimization in Neural Networks and Newton's Method
Module 3 · 10 Hours to complete
Fee Structure
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Faculties
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.