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Buried in Coursera’s 300-page prospectus: two failed merger attempts, competing bidders, a rogue shareholder, and a combined market cap that shrank from $3.8 billion to $1.7 billion.

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Mathematics

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7 Best Mathematics for Machine Learning Courses in 2026

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NPTEL; IIT Delhi
Computational Geometry

Explore fundamental algorithms and data structures for solving geometric problems, including convex hulls, Voronoi diagrams, and range searching, with applications in various fields.
- YouTube
- 1 day 13 hours
- Self-Paced
- Free Video
NPTEL; IIT Kharagpur
Probability and Statistics

Comprehensive exploration of probability theory, statistical distributions, sampling, estimation, and hypothesis testing, providing a solid foundation for data analysis and statistical inference.
- YouTube
- 1 day 14 hours
- Self-Paced
- Free Video
NPTEL; IIT Kanpur
Calculus of One Real Variable

This course intends to develop a thorough understanding of the fundamental aspects of calculus of a single variable which is a fundamental tool in Sciences, Engineering and Economics.
- YouTube
- 1 day 1 hour
- Self-Paced
- Free Video
NPTEL; IIT Kanpur
Modern Algebra

Explore fundamental concepts and advanced topics in modern algebra through a comprehensive series of lectures by Prof. Manindra Agrawal, covering key principles and applications.
- YouTube
- 14 hours
- Self-Paced
- Free Video
NPTEL; IIT Kanpur
Probability and Stochastics for Finance

This course provides the minimum mathematical requirements to study mathematical finance or more precisely the pricing of financial derivatives.
- YouTube
- 11 hours
- Self-Paced
- Free Video
Learn Algebra

Master algebra fundamentals to advanced concepts, including equations, matrices, polynomials, functions, logarithms, and conic sections. Develop problem-solving skills for real-world applications.
- YouTube
- 9 hours
- Self-Paced
- Free Video
StatQuest with Josh Starmer
How to Calculate P-Values

Learn to calculate p-values for discrete and continuous data, understand one-sided vs two-sided p-values, and gain practical insights for statistical analysis in this comprehensive tutorial.
- YouTube
- 25 minutes
- Self-Paced
- Free Video
StatQuest with Josh Starmer
Covariance, Clearly Explained

Demystifies covariance, its calculation, and significance in statistics. Explores relationships between variables and sets the stage for understanding correlation.
- YouTube
- 22 minutes
- Self-Paced
- Free Video
TensorFlow
A Friendly Introduction to Linear Algebra for ML

Explore key linear algebra concepts for machine learning, including data representations, vector embeddings, and dimensionality reduction, with insights from a postdoc at X.
- YouTube
- 38 minutes
- Self-Paced
- Free Video
FlippedNormals
Is Good Topology Overrated?

Exploring the necessity of good topology in 3D modeling, discussing when to use Zremesh, proper topology, or decimation, and examining the impact on design time, deformation, and overall efficiency.
- YouTube
- 23 minutes
- Self-Paced
- Free Video
Krish Naik
Complete Statistics for Data Science

Comprehensive statistics guide covering descriptive and inferential techniques, probability, hypothesis testing, and data analysis using Python. Ideal for aspiring data scientists and analysts.
- YouTube
- 5 hours 29 minutes
- Self-Paced
- Free Video
Krista King
How to Solve Partial Derivatives

Learn to calculate and interpret partial derivatives for multivariable functions, including first-order, second-order, and mixed partial derivatives, with clear explanations and examples.
- YouTube
- 35 minutes
- Self-Paced
- Free Video
Mathologer
Why Is Calculus So Easy?

Demystifying calculus through intuitive explanations, visual aids, and practical examples. Covers differential and integral calculus, Leibniz notation, and key rules, making complex concepts accessible and engaging.
- YouTube
- 39 minutes
- Self-Paced
- Free Video
The Organic Chemistry Tutor
Calculus 1 Final Exam Review

Comprehensive review covering key Calculus 1 concepts including limits, derivatives, and integration. Includes multiple-choice and free-response problems to prepare for final exams.
- YouTube
- 56 minutes
- Self-Paced
- Free Video
The Organic Chemistry Tutor
Derivatives for Beginners - Basic Introduction

Comprehensive introduction to calculus derivatives, covering key rules and functions. Ideal for beginners seeking a solid foundation in differentiation techniques and applications.
- YouTube
- 58 minutes
- Self-Paced
- Free Video

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