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

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 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.