Automated Machine Learning with MLNET CLI
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Course Introduction

I'm pleased to meet you!
Installing NET Core 3.0
Installing the ML.NET CLI
Installing Visual Studio Code
Recap
Next steps
Introduction To Machine Learning

In this section...
What is machine learning?
Supervised learning
Unsupervised learning
Recent developments
Recap
Next steps
Test Your Knowledge

In this section...
Quiz
Quiz review
Recap
Next steps
Loading And Processing Data

Introduction
In this section...
Introducing numeric data
Loading numeric data
Introducing string data
Loading string data
Introducing geo data
Loading Geo data
Loading text data
Test your knowledge
Quiz
Quiz review
App #1: Predict house prices in California
Recap
Next steps
Supervised Learning

Introducing supervised learning
Supervised learning
Regression

Introduction
In this section...
Introducing linear regression
Single linear regression
Introducing regression metrics
RMSE, MSE, and MAE
Introducing gradient descent
Gradient descent
Introducing multiple linear regression
Multiple linear regression
Test your knowledge
Quiz
Quiz review
App #2: Predict taxi fares in New York
Recap
Next steps
Binary Classification

Introduction
In this section...
Introducing binary classification
Binary classification
Introducing binary metrics
Accuracy, Precision, and Recall
Introducing ROC and AUC
ROC, AUC, and Bias
Test your knowledge
Quiz
Quiz review
App #3: Predict heart disease in Cleveland
Recap
Next steps
Multiclass Classification

Introduction
In this section...
Introducing multiclass classification
Multiclass classification
Introducing multiclass metrics
The confusion matrix
Micro and macro averages
Test your knowledge
Quiz
Quiz review
App #4: Recognize handwritten digits
Recap
Next steps
Training And Evaluating Models

Introduction
In this section...
Introducing overfitting
Overfitting
Introducing partitioning
Partitioning datasets
Minibatch training
Introducing K-fold cross validation
K-Fold Cross Validation
Test your knowledge
Quiz
Quiz review
App #5: Detect spam messages
Recap
Next steps
Deep Neural Networks

In this section...
Introducing deep neural networks
From linear regression to neural networks
The architecture of deep neural networks
How to visualize hidden network layers
How to train deep neural networks
Test your knowledge
Quiz
Quiz review
App #6: Recognize objects in images
Recap
Next steps
Decision Trees

Introduction
In this section...
Introducing classification trees
Classification trees
Introducing regression trees
Regression trees
Test your knowledge
Quiz
Quiz review
App #7: Predict Titanic survivors
Recap
Next steps
Ensemble Models

Introduction
In this section...
Introducing ensemble models
Ensemble models
Introducing bagging
Bagging
Introducing boosting
Boosting
Introducing stacking
Stacking
Test your knowledge
Quiz
Quiz review
App #8: Predict bike demand in Washington DC
Recap
Next steps
Unsupervised Learning

Introducing unsupervised learning
Unsupervised learning
Clustering

Introduction
In this section...
Introducing clustering
K-Means Clustering
Introducing clustering metrics
The Davies Bouldin Index
Test your knowledge
Quiz
Quiz review
App #9: Classify unlabeled Iris flowers
Recap
Next steps
Recommendation Systems

Introduction
In this section...
The challenge
Introducing PCA
PCA
Introducing SVD
SVD
Test your knowledge
Quiz
Quiz review
App #10: Recommend movies to me
Recap
Next steps
Test Your Knowledge (Again)

In this section...
Quiz
Quiz review
Recap
Next steps
In Conclusion

Course recap
What you've learned
Get your certificate of completion
Closing words

The architecture of deep neural networks

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