Mathematics for Machine Learning
Master essential math concepts for machine learning through hands-on applications that build strong foundational skills for AI development.
Master essential math concepts for machine learning through hands-on applications that build strong foundational skills for AI development.
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.
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English
বাংলা, اردو, Azərbaycanca
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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
Skills you'll gain
This course includes:
40 Hours PreRecorded video
Interactive Python notebooks and mini-projects
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FullTime access
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There are 3 courses in this program
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