Sessions for ANSWERS to your greatest challenges

Not Reinventing the Wheel: Using Teradata Vantage ML Functions with Python 
Now that you have your data cleaned and formatted, how do you bridge the gap to start using it for machine learning? Join us to discuss how we leveraged Teradata Vantage and Python to make machine learning models to predict how many people would attend Utah Jazz games. Breakout #1760

Algorithms in Action: Data Science Enables Brazilian Government Organization Business Outcomes
Identifying product tax impact has been a long-running and widespread problem for the Tax Department of Parana, especially due to reoccurring inaccurate identification of products in sales transactions. See how, using RACE methodology, Teradata helped it identify the core problem using advanced analytics. Breakout #1801

Data Science 101: Everything You Need to Know to Understand Data Science and Data Scientists
Expose yourself to typical data science activities, the methodologies and techniques used while walking through a project with some simple code examples. No previous programming or mathematical experience is necessary! Breakout #1792

Putting It All Together
Examine a complete data science workflow using Vantage using Jupyter Notebooks, Teradata's Python library, AppCenter, and MLE analytics. Review four quick and easy ways to make custom data transformations. Breakout #1794