Intro into Machine Learning, Application to Fantasy Football

How do companies like ESPN, Yahoo, and ultimate Fantasy Football fans utilize Machine Learning in Fantasy Football?

The sports industry has a massive amount of data; how to they start to filter it and make sense and predict outcomes?

As a Fantasy Football fan how do you take the status from past seasons to see where you should draft a player... and can this actually be a career?!

As the need to take raw data, convert it to actionable information, and make predictions becomes necessary for all businesses, SMB will need to understand how these are done. Many manual and repetitive tasks are being automated, the cost of personnel continues to rise. How can Machine Learning in artificial intelligence help determine who is most likely to buy, predict the fluctuations in real estate, and get smarter and more personal overtime? How is this done? How do you get a machine to begin to understand what insights you are seeking? How can you find insights that you never thought of before? There are core machine learning algorithms that will help us begin to answer these questions.

In this session, theDevMasters will take you on a journey into machine learning algorithms looking at historical data to help predict future trends. We will not go into the statistical math behind the algorithms, but instead learn what each algorithm is good for, and how to train them. We'll also review metrics for evaluating models. Python will be the language of choice for this session.

The focus of this session is on implementation and a high-level understanding of these algorithms. Make plans to attend this extremely informative learning opportunity.

Prerequisite: Open for every level professional

Required: Any Laptop with 4GB RAM
No software package installation is required