lectio-uninapoli-2021

Azure ML

We talk about Machine Learning on Azure and forecast analysis with python and jupyter notebook.

Agenda

1. Presentation (10:30)
   • Who Is Proge-Software
   • Who Am I
2. Introduction (10:45)
   • Python
     • Pandas
     • NumPy
     • Matplotlib
     • Seaborn
     • Scikit-learn
   • Jupyter Notebook
   • Anaconda
   • Machine Learning
     • Supervised Learning
     • Unsupervised Learning
     • Reinforcement learning
   • Preprocessing data
   • Forecast Analysis
     • ARIMA: Autoregressive integrated moving average
     • Prophet
3. Azure Machine Learning Studio (11:30)
   • What is Azure ML Studio
     • Differences with Classic version of the platform
   • Why do we need it
   • How does it work
     • Compute
       • Compute Instances
       • Compute Clusters
       • Inference Clusters
       • Attached Compute
     • Storage
     • Notebooks
     • Work with Computes
       • JupyterLab
       • Command Line
4. Demo (12:00)
   • Setup Azure ML Studio
   • Data
     • Preprocessing the Data
     • Code explanation
   • Spot and treat outliers
   • Train a Prophet model
   • Model evaluation
   • Hyperparameter tuning
5. Where to go next (12:20)
   • Artificial Neural Networks
   • Deep Learning
   • Frameworks for deep learning
     • Tensorflow
     • Keras
     • PyTorch
   • Types of Neural Network
   • NeuralProphet
6. Q&A (12:25)