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Machine Learning Specialization

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Machine Learning Specialization

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Course & topics

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Week 1

Week 1 – Day 1

3 Topics

Introduction to Machine Learning

Frameworks for Building Machine Learning Systems

Machine Learning Packages

Week 1 – Day 2

1 Topic

Fundamentals of Machine Learning

Week 1 – Day 3

3 Topics

Polynomial Regression

Multivariate Regression

Regularization and Nonlinear Regression

Week 1 – Day 4

1 Topic

Supervised Learning – Classification

Week 2

Week 2 – Day 1

1 Topic

Supervised Learning – Process Flow

Week 2 – Day 2

1 Topic

Unsupervised Learning – Process Flow

Week 2 – Day 3

1 Topic

Model Diagnosis and Tuning

Week 2 – Day 4

1 Topic

Boosting, Hyperparameter Tuning

Week 3

Week 3 – Day 1

1 Topic

Text Mining and Recommender Systems

Week 3 – Day 2

1 Topic

Data Exploration, Model Building, Word2Vec, Recommender Systems

Week 3 – Day 3

1 Topic

Deep Learning: Artificial Neural Networks Part 1

Week 3 – Day 4

3 Topics

Deep Learning: Artificial Neural Networks Part 2

Reinforcement Learning

Conclusion & Tips

Supervised Machine Learning Regression and Classification (Video Lessons)

Supervised Machine Learning Regression and Classification

Week 4

Week 4 – Day 1

5 Topics

Welcome to machine learning!

Applications of machine learning

What is machine learning

Supervised learning part 1

Supervised Learning Part 2

Week 4 – Day 2

5 Topics

Unsupervised Learning part 1

Unsupervised learning part 2

Jupyter Notebooks

Linear regression model part 1

Linear regression model part 2

Week 4 – Day 3

5 Topics

Cost function formula

Cost function intuition

Visualizing the cost function

Visualization examples

Gradient descent

Week 4 – Day 4

5 Topics

Implementing gradient descent

Gradient descent intuition

Gradient descent for linear regression

Running gradient descent

Week 5

Week 5 – Day 1

5 Topics

Multiple features

Vectorization part 1

Vectorization part 2

Gradient descent for multiple linear regression

Feature scaling part 1

Week 5 – Day 2

4 Topics

Feature scaling part 2

Checking gradient descent for convergence

Choosing the learning rate

Feature engineering

Advanced Learning Algorithms (Video Lessons)

Week 5 – Day 3

5 Topics

Neurons and the brain

Demand Prediction

Example – Recognizing Images

Neural network layer

1 of 2

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