Automatic Machine Learning – Innovations in Data Science

Hi Makers! Join us this evening to hear from makers behind H2O.ai’s ground-breaking products! Following is a brief agenda for the evening:

6:00 – 6:30 PM: Doors open for networking and pizza

6:30 – 7:15 PM: Gregory’s talk

7:15 – 7:30 PM: Q&A

H2O has been breathing new life into data science with its automatic machine learning platform, Driverless AI. Driverless AI automates much of the data science process and has become a Data Scientist’s best friend enabling them to be far more productive then they every could be before providing an easier, faster and effective means of implementing data science.

In this meet up, the H2O team will share how Data Scientists are leveraging Automatic Machine Learning. We will discuss and demonstrate the following:

See how you can turn AI and machine learning projects that usually take months into projects that take just a few days.

Leverage Feature Engineering genetic algorithms to extract the most accurate results from machine learning predictive models.

Learn modern Machine Learning Interpretability (MLI) techniques and methodologies for interpreting and explaining machine learning models.

Understand how data visualization can help you build better machine learning predictive models

See a demo of H2O’s Driverless AI and how we employ the techniques of expert data scientists in an easy to use application that scales data science efforts

Showcase data science workflow using automatic machine learning across several popular use cases.

Speakers:
James Dean and Gregory Kanevsky, Makers at H2O.ai.