Mathematics for Machine Learning and Data Science Specialization - Coursera
Mathematics for Machine Learning and Data Science Specialization offered by deeplearning.ai , instructed by Luis Serrano on Coursera.
Course 1 : Linear Algebra for Machine Learning and Data Science
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- Ungraded Lab - Vector Operations
- Ungraded Lab - Matrix Multiplication
- Ungraded Lab - Linear Transformations
- Practice Quiz - Vector operations: Sum, difference, multiplication, dot product
- Graded Quiz - Vector and Matrix Operations, Types of Matrices
- Programming Assignment - Single Perceptron Neural Networks for Linear Regression
- Lecture Materials
Certificate Of Completion
Course 2 : Calculus For Machine Learning and Data Science
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- Practice Quiz - Partial Derivatives and Gradient
- Ungraded Lab - Optimization Using Gradient Descent in One Variable
- Ungraded Lab - Optimization Using Gradient Descent in Two Variables
- Graded Quiz - Partial Derivatives and Gradient Descent
- Programming Assignment - Optimization Using Gradient Descent: Linear Regression
- Lecture Materials
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- Practice Quiz - Optimization in Neural Networks
- Ungraded Lab - Regression with Perceptron
- Ungraded Lab - Classification with Perceptron
- Ungraded Lab - Optimization Using Newtons Method
- Graded Quiz - Optimization in Neural Networks and Newton's Method
- Programming Assignment - Neural Network with Two Layers
- Lecture Materials