Put AI to Work
April 15-18, 2019
New York, NY

2-Day Training Courses

All training courses take place 9:00am–5:00pm, Monday, April 15–Tuesday, April 16. 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. To attend training courses, you must register for a Platinum or Training pass; does not include access to tutorials on Tuesday.

Monday, April 15 - Tuesday, April 16

9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
Location: Rendezvous
Secondary topics:  AI in the Enterprise
SOLD OUT
Michael Li (The Data Incubator), Russell Martin (The Data Incubator)
Average rating: **...
(2.33, 3 ratings)
Michael Li and Russ Martin offer a nontechnical overview of AI and data science. You’ll learn common techniques and how to apply them as well as common pitfalls to avoid. Along the way, you’ll pick up the language of AI and develop a framework to be able to effectively engage with technical experts and utilize their input and analysis for your business’s strategic priorities and decision making. Read more.
9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
Location: Madison
Secondary topics:  Deep Learning and Machine Learning tools
Ana Hocevar (The Data Incubator)
PyTorch is a machine learning library for Python that allows users to build deep neural networks with great flexibility. Its easy-to-use API and seamless use of GPUs make it a sought-after tool for deep learning. Ana Hocevar introduces the PyTorch workflow and demonstrates how to use it to build deep learning models using real-world datasets. Read more.
9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
Location: Gibson
Secondary topics:  Deep Learning and Machine Learning tools
SOLD OUT
Dylan Bargteil (The Data Incubator)
Average rating: **...
(2.00, 3 ratings)
The TensorFlow library provides for the use of computational graphs, with automatic parallelization across resources. This architecture is ideal for implementing neural networks. Dylan Bargteil walks you through TensorFlow's capabilities in Python, teaching you how to build machine learning algorithms piece by piece and use the Keras API provided by TensorFlow with several hands-on applications. Read more.
9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
Location: Regent
Secondary topics:  Deep Learning and Machine Learning tools, Financial Services, Models and Methods, Temporal data and time-series
Francesca Lazzeri (Microsoft), Wee Hyong Tok (Microsoft), Krishna Anumalasetty (Microsoft)
Francesca Lazzeri, Wee Hyong Tok, and Krishna Anumalasetty walk you through the core steps for using Azure Machine Learning services to train your machine learning models both locally and on remote compute resources. Read more.
9:00am - 5:00pm Monday, April 15 & Tuesday, April 16
Location: Clinton
Secondary topics:  Deep Learning and Machine Learning tools, Models and Methods, Text, Language, and Speech
SOLD OUT
Delip Rao (AI Foundation), Brian McMahan (Wells Fargo)
Average rating: ****.
(4.33, 3 ratings)
Delip Rao and Brian McMahan explore 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 Monday, April 15 & Tuesday, April 16
Location: Sutton Center
Wenming Ye (Amazon Web Services), Miro Enev (NVIDIA)
Machine learning (ML) and deep learning (DL) projects are becoming increasingly common at enterprises and startups alike and have been a key innovation engine for Amazon businesses such as Go, Alexa, and Robotics. Wenming Ye and Miro Enev give you a practical introduction to the next step in DL learning, with lecture, demos, and hands-on labs. Read more.