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.

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Course 1 : Linear Algebra for Machine Learning and Data Science

• Week 1
  • Ungraded Lab - Introduction To Numpy Arrays
  • Ungraded Lab - Solving Linear Systems : 2 Variables
  • Practice Quiz - Solving Systems of Linear Equations
  • Graded Quiz - Matrices
  • Lecture Materials

• Week 2
  • Ungraded Lab - Solving Linear Systems : 3 Variables
  • Graded Quiz - The Rank of a Matrix
  • Programming Assignment - System of Linear Equations
  • Lecture Materials

• Week 3
  • 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

• Week 4
  • Graded Quiz - Eigenvalues and Eigenvectors
  • Programming Assignment - Eigenvalues and Eigenvectors
  • Lecture Materials

Course 2 : Calculus For Machine Learning and Data Science

• Week 1
  • Practice Quiz - Derivatives
  • Ungraded Lab - Differentiation in Python
  • Graded Quiz - Derivatives and Optimization
  • Programming Assignment - Optimizing Functions of One Variable: Cost Minimization
  • Lecture Materials

• Week 2
  • 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

• Week 3
  • 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

Course 3 : Probability & Statistics for Machine Learning & Data Science

• Week 1
  • Ungraded Lab - Birthday Problems
  • Practice Quiz
  • Graded Quiz - Summative quiz
  • Programming Assignment: Probability Distributions / Naive Bayes

• Week2
  • Practice Quiz
  • Graded Quiz - Summative Quiz
  • Optional Lab - Summary statistics and visualization of data sets
  • Optional Lab - Dice Simulations
  • Programming Assignment: Loaded Dice

• Week 3
  • Optional Lab - Sampling data from different distribution and studying the distribution of sample mean
  • Practice Quiz
  • Graded Quiz - Summative Quiz

• Week 4
  • Practice Quiz
  • Graded Quiz - Summative Quiz
  • Programming Assignment: A/B Testing

Disclaimer

I want to acknowledge the considerable effort individuals invest in developing their intuition, comprehending novel concepts, and troubleshooting assignments. The solutions provided here serve as reference points and are intended to assist if you encounter difficulties. Please refrain from copying any portion of the code directly, as the programming assignments become more manageable with careful instruction reading. Likewise, attempt the quizzes independently before consulting the quiz solutions. This course stands out as the most straightforward deep learning program I've ever undertaken, boasting exceptional content and a well-organized structure. It truly is a valuable gem created by the deeplearning.ai team.