About

Train AI is focused on making machine learning work in a human world

Where

Pier 27 - San Francisco, CA

When

May 9th & 10th, 2018

Join AI trailblazers, machine learning experts, forward-thinking executives, and product and engineering innovators for this two-day event to learn how AI is being applied to real business problems.

Train AI features keynotes from industry leaders, real world case studies on practical machine learning applications, an exclusive Executive Briefing Center, and an AI solutions showcase with market-leading technologies and solutions.

PRESENTED BY TRAIN

Featured Keynote Speaker

Garry Kasparov
Garry Kasparov

Chairman of the Human Rights Foundation, Author, Speaker, 13th World Chess Champion

SPEAKERS

Anima
Anandkumar

Principal Scientist at Amazon AI and Bren Professor at Caltech
Amazon

  • Linkedin
Estelle
Afshar

Senior Manager, Data Science Online
Home Depot

  • Linkedin
Lukas
Biewald

Founder
Figure Eight

  • Linkedin
Robin
Bordoli

CEO
Figure Eight

  • Linkedin
Jack
Clark

Strategy & Communications Director
OpenAI

  • Linkedin
Justin
Davis

CEO and Co-Founder
Spectrum Labs

  • Linkedin
Hanlin
Fang

Director of Machine Learning
Product Management
Workday

  • Linkedin
Alex
Filipkowski

Product Manager, Applied Science and Machine Learning
Adobe

  • Linkedin
Daniel
Golden

Director of Machine Learning
Arterys

  • Linkedin
Kapil
Gupta

Data Science Lead
Airbnb

  • Linkedin
Olya
Gurevich

Data Science & Engineering Manager
Apple

  • Linkedin
Nick
Hasty

Director of R&D
GIPHY

  • Linkedin
Dr.
Marti
Hearst

Professor
UC Berkeley

  • Linkedin
Kevin
Hu

Data Scientist
Plaid

  • Linkedin
Andrej
Karpathy

Director of AI
Tesla

  • Linkedin
Garry
Kasparov

KEYNOTE SPEAKER

Chairman of the Human Rights Foundation
Author, Speaker, 13th World Chess Champion

Etienne
Manderscheid

Head of Data Science and Co-Founder
TalkIQ

  • Linkedin
Robert
Munro

Chief Technology Officer
Figure Eight

  • Linkedin
Ruchir
Puri

IBM Fellow and Chief Architect
IBM Watson

  • Linkedin
Diego
Represas

Data Science
Digit.co

  • Linkedin
Alyssa
Simpson
Rochwerger

VP, Product
Figure Eight

  • Linkedin
Mikel
Rodriguez

Director of Computer Vision Research
MITRE

  • Linkedin
Peter
Skomoroch

Co-Founder and CEO
SkipFlag

  • Linkedin
Adrien
Treuille

VP of Simulation
Zoox

  • Linkedin
Pete
Warden

Engineer
Google

  • Linkedin

TICKETS

Day 1

$695

Select one from a choice of three sessions to improve your knowledge of artificial intelligence.

Introduction to Deep Learning
Wednesday, May 9th - 8 am PT - 5 pm PT
Instructor: Lukas Biewald
Founder, Figure Eight (formerly CrowdFlower)

or

*Executive Briefing Center - 2hr Executive AI Workshop
(Morning Session or Afternoon Session)
*(The Executive Briefing Center is an invite only event. Registrants will be notified of admittance.)

Day 2

$695

Engage with AI trailblazers and learn how AI is being applied to real business problems:

Full day conference with over 20 industry leading speakers


Two tracks of content for both the technical and executive AI practitioner

Meet AI product experts offering innovative ways to help make AI real within your business

Network with fellow data scientist and machine learning peers representing multiple industries

Interested in sponsoring Train AI?

Download our Sponsor Prospectus

Venue

Pier 27 - San Francisco, CA

Located on The Embarcadero in San Francisco, Pier 27 is a spacious, gorgeous venue with panoramic views of the the entire San Francisco Bay, Coit Tower, and the city skyline.

Location Icon

Pier 27

The Embarcadero, San Francisco, CA 94111

Maps
google map widget for website

FAQ

How do I get tickets?

Start your registration today by visiting our registration portal.

When is Train AI?

Train AI is a two-day event taking place on May 9th & 10th, 2018.

Terms & Conditions

Information regarding our policies related to registration cancellations, substitutions, admittance, and attendance can be found here.

Hotel Accommodations

Le Meridian San Francisco (0.7 miles)
333 Battery St, San Francisco, CA 94111

Sheraton Fisherman’s Wharf (0.8 miles)
2500 Mason St., San Francisco, CA 94133

Hotel Zoe Fisherman’s Wharf (0.8 miles)
425 North Point St, San Francisco, CA 94133

Hilton San Francisco Financial District (0.9 miles)
750 Kearny St, San Francisco, CA 94108

Hotel Vitale (0.9 miles)
8 Mission St, San Francisco, CA 94105

What are the Prerequisites for the "Introduction for Deep Learning" Session?

This a course to take engineers from zero to one in machine learning in a day.

The world needs more people that understand machine learning and our goal is to get you started on that path as efficiently as possible. While there are plenty of online resources, we know it's tough to learn a technical topic without a teacher. This workshop will arm you with the tools to get started using machine learning in your day job and the resources to find additional help if you want to go deeper.

The course is designed to leave you with the ability to build, understand and debug neural networks. We go into the theory and practice of neural networks and build various types of networks together and apply them to a vision and a text application. No experience with neural networks is required but some knowledge of python is necessary.

We try to keep the class collaborative and fun.

Intro to Machine Learning/Data Science Python Libraries
- Scikit-learn
- Numpy
- Pandas
- TensorFlow
- Keras

Prerequisites:
This class is designed for working engineers with no experience in machine learning. Some students have taken this class after taking an online machine learning course and have enjoyed the practical applications and review.

The entire class is taught in python, but on average, 20 percent of students take the class with no experience in python and mostly report success. If you are not familiar with python, be extra sure to have everything installed in advance and consider doing a quick online tutorial.

What will be provided:
We will provide all the food, coffee, wifi and power.

What you need to bring:
You must also bring your own laptop (don’t forget your charger).

Preparation:
It saves a lot of time if you can get your laptop setup in advance. If you can't get everything setup, come thirty minutes early and we'll help you with the installation or email us in advance.
Download code for the class from https://github.com/lukas/ml-class.

There are instructions on this website for how to install all the necessary programs at https://github.com/lukas/ml-class/blob/master/README.md - if you have questions, you can email us or put them in the github issues tracker where they might help another student.

What can I expect to see, hear, and do at Train AI?

  • Listen to industry leaders share their AI experiences
  • Learn from real world case studies, solution demos, and panel discussions
  • Network with AI trailblazers, machine learning experts, and product innovators
  • Discover new ways to apply AI in the real-world via hands-on trainings for practitioners who want to train, test, and tune machine learning models
  • Unwind at our evening parties with food, music, cocktails, and conversations

Parking

Parking can be found at Pier 27 for a $20 flat daily parking rate. If the lot is full, we recommend parking nearby at 55 Francisco Street for a $30 flat daily rate.

Contact Information

For any registration questions please call 1-833-TRAIN18 or email trainai@figure-eight.com for assistance.