Certificate Authentication

-Day 1-

A. Intro to Python libraries for Machine Learning

   ○ Numpy
   ○ Pandas
   ○ Scikit-learn

B. Intro to Machine Learning

   ○ Supervised Learning

      ■ Linear Regression
      ■ Logistic Regression
      ■ Support Vector Machines
      ■ Decision Trees
      ■ Naive Bayes

   ○ Unsupervised Learning

      ■ K-means clustering
      ■ Hierarchical clustering
      ■ Principle Component Analysis

   ○ Semi-supervised Learning Algorithm

-Day 2-

C. Machine Learning Model Optimization

D. Intro to Neural Networks

   ○ Build a Neural Network from scratch
   ○ Tensorflow 2.0

E. Deep Neural Networks

   ○ Transfer Learning and Fine Tuning
   ○ Convolutional Neural Networks
   ○ Recurrent Neural Networks
   ○ Generative Adversarial Networks (Optional)

-Day 3-

F. Machine Learning with Azure

   ○ Intro to Azure
   ○ Intro to ML Studio
   ○ Training Machine Learning models in Azure
   ○ Model Validation
   ○ Auto ML
   ○ Registering models
   ○ Deploying models

      ■ Building REST APIs and testing with Swagger UI