lectio

Azure ML

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

Agenda

1. Presentation (09:00)
   • Who Is Proge-Software
   • Who Am I
2. Introduction (09:15)
   • Python
     • Pandas
     • NumPy
     • Matplotlib
     • Seaborn
     • Scikit-learn
   • Jupyter Notebook
   • Anaconda
   • Machine Learning
     • Supervised Learning
     • Unsupervised Learning
   • Preprocessing data
   • Forecast Analysis
     • ARIMA: Autoregressive integrated moving average
     • Prophet
3. Azure Machine Learning Studio (10:00)
   • 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 (10:30)
   • Setup Azure ML Studio
   • Data
     • Preprocessing the Data
     • Code explanation
   • Train the Prophet model and prediction of the trend
   • Test the Prophet model
5. Where to go next (10:50)
   • Neural Networks
     • Tensorflow
     • Keras
     • pyTorch
6. Q&A (10:55)