Free

Introduction to Machine Learning

Event Information

Share this event

Date and Time

Location

Location

Galvanize - San Francisco (SoMa)

44 Tehama Street

San Francisco, CA 94105

View Map

Event description

Description

This is an absolute beginner's guide to machine learning for the enterprise. Come join our strategic and design-thinking inspired conversation for beginners to explore and apply machine learning at your enterprise! Learn about the current state of machine learning and AI at one of the world's largest enterprises, IBM. In addition as this is a joint event with H2O we will also be covering an introduction to H2O, one of the leading open-source AI platforms, for people taking their first steps into the world of machine learning and big data. The presentation will provide an overview of the challenges you can tackle with H2O – classification, regression, anomaly detection, etc. – and how to download and start using H2O today. Whether you love coding or hate it, H2O has an interface that can cater to your preference (it has an R API, Python API, and web-based UI). There are no requirements to get started, just the desire to get your hands wet (with H2O).

Schedule:

6:00-6:15pm: Dinner and registration

6:15-8:30pm:

  • Current state of Machine Learning and AI at IBM
  • Challenges you can tackle with H2O

Requirements

No experience is necessary.

Prerequisites:

You can download H2O before the meetup, and then follow along during the demo part of the presentation.



Or go directly to the webpage and follow the download instructions there: http://docs.h2o.ai/h2o/latest-stable/h2o-docs/downloading.html#

Speakers:

  • Lennart Frantzell, PhD, is a Developer Advocate with IBM focusing on Machine Learning and Blockchain. With a background in product development, he works with startups, developers and enterprises and spends his weekends at hackathons. His ultimate goal is to replace mankind with self-learning machines.

H20.ai Speaker:

  • Lauren DiPerna is a Data Scientist and a variety pack of flavored H2O, handling data science projects, customer success, api updates, and documentation. Her background is equally diverse. She received her B.A in geophysics at UC Berkeley and earned her M.S. in geophysics at Scripps Institution of Oceanography.

    Prior to joining H2O, Lauren worked as a science reporter through Science Magazine’s Mass Media Fellowship, and a content producer for an adventure startup.

    In her free time, Lauren can be found mountain biking (trying but failing to avoid poison oak), rock climbing, or surfing.



DISCLAIMER: We may take photographs and/or video activities at the We Are Developers Advocates event for many purposes. By attending these events, you consent to your image and recorded content being used in all marketing collateral and communications.
Share with friends

Date and Time

Location

Galvanize - San Francisco (SoMa)

44 Tehama Street

San Francisco, CA 94105

View Map

Save This Event

Event Saved