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

Certificate Of Completion

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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

Certificate Of Completion

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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

Certificate Of Completion

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Specialization Certificate