Chairman of the Human Rights Foundation, Author, Speaker, 13th World Chess Champion
Pier 27 - San Francisco, CA
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.
Chairman of the Human Rights Foundation
Author, Speaker, 13th World Chess Champion
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)
*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.)
Engage with AI trailblazers and learn how AI is being applied to real business problems:
Full day conference with over 20 industry leading speakers
Pier 27 - San Francisco, CA
Start your registration today by visiting our registration portal.
Train AI is a two-day event taking place on May 9th & 10th, 2018.
Information regarding our policies related to registration cancellations, substitutions, admittance, and attendance here.
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
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
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).
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.
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.
For any registration questions please call 1-833-TRAIN18 or email email@example.com for assistance.