14–17 Oct 2019

2-Day Training Courses

All training courses take place 9:00 – 17:00, Monday, 14 October – Tuesday, 15 October. 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, 14 October - Tuesday, 15 October

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9:00 - 17:00 Monday, 14 October & Tuesday, 15 October
Location: Hilton Meeting Room 13-15
Secondary topics:  Deep Learning, Machine Learning, Temporal data and time-series
Francesca Lazzeri (Microsoft), Wee Hyong Tok (Microsoft), Krishna Anumalasetty (Microsoft), Aashish Bhateja (Microsoft)
Francesca Lazzeri, Wee Hyong Tok, Krishna Anumalasetty, and Aashish Bhateja walk you through the core steps of training your machine learning time series forecasting models using Python and Azure Machine Learning both locally and on remote compute resources. Read more.
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9:00 - 17:00 Monday, 14 October & Tuesday, 15 October
Location: Hilton Meeting Room 3/4
Secondary topics:  Deep Learning, Deep Learning tools, Machine Learning
Dylan Bargteil (The Data Incubator)
The TensorFlow library provides computational graphs with automatic parallelization across resources, ideal architecture for implementing neural networks. Dylan Bargteil walks you through TensorFlow's capabilities in Python from building machine learning algorithms piece by piece to using the Keras API provided by TensorFlow with several hands-on applications. Read more.
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9:00 - 17:00 Monday, 14 October & Tuesday, 15 October
Location: Westminster Suite
Secondary topics:  Deep Learning, Deep Learning tools, Machine Learning
Ana Hocevar (The Data Incubator)
PyTorch is a machine learning library for Python that allows you 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. Join Ana Hocevar to get the knowledge you need to build deep learning models using real-world datasets and PyTorch. Read more.
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9:00 - 17:00 Monday, 14 October & Tuesday, 15 October
Location: Hilton Meeting Room 1/2
Secondary topics:  Machine Learning
Angie Ma (Faculty)
Angie Ma offers 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. You’ll learn a language and framework to talk to both technical experts and executives in order to better oversee the practical application of data science in your organization. Read more.
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9:00 - 17:00 Monday, 14 October & Tuesday, 15 October
Location: Hilton Meeting 5/6
Secondary topics:  Deep Learning, Machine Learning, Text, Language, and Speech
Delip Rao (AI Foundation)
With large volumes of data exchanged as text, NLP techniques are indispensable to modern intelligent applications. Delip Rao explores natural language processing with deep learning. He walks you through neural network architectures and NLP tasks and examines how to apply these architectures for those tasks. Read more.

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