Indy.Code() Sessions tagged machine learning

Automating Machine Learning with Python and Azure

In this session we'll explore Azure Machine Learning Studio and the Azure ML Python SDK and how they can help novices, journeymen, and experts on their machine learning journey without requiring deep knowledge of machine learning algorithms.

Specifically we'll explore Automated ML in the web portal, the machine learning designer for intermediate users, and the Python SDK for those who prefer to code in Python but take advantage of Azure's cloud offerings. We'll also explore the use of Hyperdrive from Python to customize the training process for custom workloads.

By the time we're done, you'll see how Azure is a frighteningly powerful platform for all flavors of data scientists - including those without a data science background.

Speaker

Matt Eland

Matt Eland

Instructor, Tech Elevator

Is Die Hard a Christmas Movie? Let's ask Azure!

When it comes to popular Christmas movies there's a recurring debate as to whether or not that list of movies should include the 1988 film Die Hard. Thankfully, machine learning has been applied to this problem and we have an answer.

We'll start off by using Python, Pandas, and Jupyter Notebooks to analyze and clean movie data and then prepare it for model training while avoiding factors that might introduce bias.

After that we'll explore using the beginner-friendly features of Azure Machine Learning Studio's Automated ML to train and evaluate a classification model.

Finally, we'll deploy the trained model to Azure as a web service and see what it has to say about Die Hard.

By the time we're done you'll know the truth about Die Hard and have a deeper understanding of machine learning experiments and some common beginner-friendly tools involved in machine learning.

Speaker

Matt Eland

Matt Eland

Instructor, Tech Elevator