- 1.Overview of Machine Learning
- 2.Supervised vs. Unsupervised Machine Learning
- Lab
- Data Lab Python and Jupyter Notebooks
- 3.Regression Model
- Lab
- Optional lab: Cost function
- Optional lab: Model representation
- 4.Train the model with gradient descent
- Lab_ Gradient descent
- Optional lab: Gradient descent
- Practice quiz_ Regression
- Practice quiz_ Supervised vs unsupervised learning
- Practice quiz_ Train the model with gradient descent
- 1.Multiple linear regression
- Lab
- Optional Lab: Multiple linear regression
- Optional lab: Python, NumPy and vectorization
- 2. Gradient descent in practice
- Lab
- Optional lab: Feature engineering and Polynomial regression
- Optional Lab: Feature scaling and learning rate
- Optional lab: Linear regression with scikit-learn
- Assignment
- Practice quiz_ Gradient descent in practice
- Practice quiz_ Multiple linear regression
- 1.Classification with logistic regression
- Lab
- Optional lab: Classification
- Optional lab: Decision boundary
- Optional lab: Sigmoid function and logistic regression
- 2. Practice quiz_ Classification with logistic regression
- 3.Cost function for logistic regression
- Lab
- Optional lab: Cost function for logistic regression
- Optional lab: Logistic loss
- 4.Practice quiz_ Cost function for logistic regression
- 5.Gradient descent for logistic regression
- Lab
- Optional lab: Gradient descent for logistic regression
- Optional lab: Logistic regression with scikit-learn
- 6.Practice quiz_ Gradient descent for logistic regression
- 7.The problem of overfitting
- Lab
- Optional lab: Overfitting
- Optional lab: Regularization
- 8.Practice quiz_ The problem of overfitting
- Assignment
- 1.Neural networks intuition
- 2.Practice quiz_ Neural networks intuition
- 3.Neural network model
- Lab
- 4.Practice quiz_ Neural network model
- 5.TensorFlow implementation
- Lab
- 6.Practice quiz_ TensorFlow implementation
- 7.Neural network implementation in Python
- Lab
- 8.Practice quiz_ Neural network implementation in Python
- 9.Speculations on artificial general intelligence (AGI)
- 10.Vectorization optional
- Assignment
- 1.Neural Network Training
- 2.Practice quiz_ Neural Network Training
- 3.Activation Functions
- Lab
- 4.Practice quiz_ Activation Functions
- 5. Multiclass Classification
- Lab
- Multiclass
- Softmax
- 6.Practice quiz_ Multiclass Classification
- 7.Additional Neural Network Concepts
- 8.Practice quiz_ Additional Neural Network Concepts
- 9.Back Propagation (Optional)
- Lab
- Optional Lab: Back propagation
- Optional Lab: Derivatives
- Assignment
- 1.Advice for applying machine Learning
- Lab
- 2.Practice quiz_ Advice for applying machine learning
- 3.Bias and variance
- Lab
- 4.Practice quiz_ Bias and variance
- 5.Machine learning development process
- 6.Practice quiz_ Machine learning development process
- 7.Skewed datasets (optional)
- Assignment
- 1.Decision trees
- 2.Practice quiz_ Decision trees
- 3.Decision tree learning
- lab
- 4.Practice quiz_ Decision tree learning
- 5.Tree ensembles
- Lab
- 6.Practice quiz_ Tree ensembles
- Assignment
- 1. Welcome to the course
- 2.Clustering
- 3. Clustering Quiz
- 4.Anomaly detection
- 5. Anomaly detection Quiz
- Lab1
- Lab2
- 1.Collaborative filtering
- 2.Collaborative Filtering Quiz
- 3.Recommender systems implementation
- 4. Recommender systems implementation Quiz
- 5.Content-based filtering
- 6.Principal Component Analysis
- Lab
- Content-based filtering Quiz
- Lab 1
- Lab 2
- 1.Reinforcement learning introduction
- 2.Reinforcement learning introduction Quiz
- 3.State-action value function
- Lab
- 4.State-action value function Quiz
-
5.Continuous state spaces
-
1.Example of continuous state space applications.mp4
-
2.Lunar lander.mp4
-
3.Learning the state-value function.mp4
-
4.Algorithm refinement_ Improved neural network architecture.mp4
-
5.Algorithm refinement_ ϵ-greedy policy.mp4
-
6.Algorithm refinement_ Mini-batch and soft updates (optional).mp4
-
7.The state of reinforcement learning.mp4
-
- 6.Continuous state spaces Quiz
- 7.Summary and thank you
- Assignment
2.Logistic regression.mp4
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