Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY

2-Day Training Courses

All training courses take place 9:00am - 5:00pm, Sunday, April 29 through Monday, April 30. In order to maintain a high level of hands-on learning and instructor interaction, each training course is limited in size. Participants should plan to attend both days of this 2-day training course. Training passes do not include access to tutorials on Monday.

Sunday, April 29 - Monday, April 30

9:00am - 5:00pm Sunday, April 29 & Monday, April 30
SOLD OUT
Location: Morgan
Dylan Bargteil (The Data Incubator)
TensorFlow is an increasingly popular tool for deep learning. Dylan Bargteil offers an overview of the TensorFlow graph using its Python API. You'll start with simple machine learning algorithms and move on to implementing neural networks. Along the way, Dylan covers several real-world deep learning applications, including machine vision, text processing, and generative networks. Read more.
9:00am - 5:00pm Sunday, April 29 & Monday, April 30
SOLD OUT
Location: Clinton
Delip Rao (AI Foundation), Brian McMahan (Wells Fargo)
Average rating: ***..
(3.83, 6 ratings)
Delip Rao explores natural language processing with deep learning, walking you through neural network architectures and NLP tasks and teaching you how to apply these architectures for those tasks. Read more.
9:00am - 5:00pm Sunday, April 29 & Monday, April 30
Location: Madison
Tom Hanlon (Functional Media)
Average rating: ****.
(4.00, 1 rating)
Recurrent neural networks have proven to be very effective at analyzing time series or sequential data, so how can you apply these benefits to your use case? Tom Hanlon demonstrates how to use Deeplearning4j to build recurrent neural networks for time series data. Read more.
9:00am - 5:00pm Sunday, April 29 & Monday, April 30
Location: Chelsea at Sheraton
Rich Ott (The Pragmatic Institute)
BigDL is a powerful tool for leveraging Hadoop and Spark clusters for deep learning. Rich Ott offers an overview of BigDL’s capabilities through its Python interface, exploring BigDL's components and explaining how to use it to implement machine learning algorithms. You'll use your newfound knowledge to build algorithms that make predictions using real-world datasets. Read more.
9:00am - 5:00pm Sunday, April 29 & Monday, April 30
Location: Sugar Hill at Sheraton
Richard Sargeant and Myles Kirby offer a condensed introduction to key AI and machine learning concepts and techniques, showing you what is (and isn't) possible with these exciting new tools and how they can benefit your organization. Read more.
9:00am - 5:00pm Sunday, April 29 & Monday, April 30
Location: Columbus Circle at Sheraton
Onur Yilmaz (NVIDIA)
Average rating: *****
(5.00, 1 rating)
Onur Yilmaz walks you through the fundamentals of deep learning—training neural networks and using results to improve performance and capabilities. Once you’ve learned the basics, you'll apply deep learning to finance to make predictions and exploit arbitrage. Read more.