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