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Mathematics for Machine Learning
Master essential math concepts for machine learning through hands-on applications that build strong foundational skills for AI development.
Course Cost
₹ 5,199
Beginner
Skill Level
55 Hours
Self-paced lessons
This specialization bridges the gap between basic mathematics and its applications in machine learning and data science. Through three comprehensive courses, you'll build intuitive understanding of linear algebra, multivariate calculus, and dimensionality reduction techniques. The program combines theoretical foundations with practical implementations in Python, preparing you for advanced machine learning courses.
4.6
2,28,225 Enrolled
English
Powered by
4.6
2,28,225 Enrolled
English
What you'll learn
Master vectors, matrices, and eigenvalues in linear algebra
Understand gradients and optimization in multivariate calculus
Apply calculus concepts to neural network training
Implement PCA for dimensionality reduction
Develop intuitive understanding of mathematical concepts
Create practical applications using Python
Build mathematical foundation for advanced ML courses
Skills you'll gain
This course includes:
55 Hours PreRecorded video
Interactive Python notebooks and mini-projects
Access on Mobile
FullTime access
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Share your certificate with prospective employers and your professional network on LinkedIn.
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There are 3 courses in this program
Mathematics for Machine Learning: Linear Algebra
Course 1 · 16 Hours to complete · 5 modules
Mathematics for Machine Learning: Multivariate Calculus
Course 2 · 15 Hours to complete · 6 modules
Mathematics for Machine Learning: PCA
Course 3 · 18 Hours to complete · 4 modules
Fee Structure
Payment options
Financial Aid
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