Sep 9–12, 2019

2-Day Training Courses

All training courses take place 9:00am–5:00pm, Monday, September 9–Tuesday, September 10. 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, September 9 - Tuesday, September 10

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9:00am - 5:00pm Monday, September 9 & Tuesday, September 10
Location: 111
Robert Schroll (The Data Incubator)
The TensorFlow library provides computational graphs with automatic parallelization across resources, ideal architecture for implementing neural networks. Robert Schroll 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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9:00am - 5:00pm Monday, September 9 & Tuesday, September 10
Location: Market
Secondary topics:  Ethics, Security, and Privacy
Nicholas Cifuentes-Goodbody (The Data Incubator)
Dylan Bargteil and Michael Li lead you through a nontechnical overview of AI and data science. You’ll learn common techniques, how to apply them in your organization, and common pitfalls. You’ll pick up the language and develop a framework to be able to effectively engage with technical experts and use their input and analysis for your business’s strategic priorities and decision making. Read more.
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9:00am - 5:00pm Monday, September 9 & Tuesday, September 10
Location: 112
Rich Ott (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. Get the knowledge you need to build deep learning models using real-world datasets and PyTorch with Rich Ott. Read more.
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9:00am - 5:00pm Monday, September 9 & Tuesday, September 10
Location: Santa Clara
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 detail a practical next step in DL learning with instructions, demos, and hands-on labs. Read more.
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9:00am - 5:00pm Monday, September 9 & Tuesday, September 10
Location: 114
Delip Rao (AI Foundation)
Delip Rao explores natural language processing (NLP) with deep learning, walking you through neural network architectures and NLP tasks. You'll learn how to apply these architectures for those tasks. Read more.
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9:00am - 5:00pm Monday, September 9 & Tuesday, September 10
Location: 113
Amit Kapoor (narrativeVIZ), Bargava Subramanian (Binaize Labs)
Recommendation systems play a significant role—for users, a new world of options; for companies, it drives engagement and satisfaction. Amit Kapoor and Bargava Subramanian walk you through the different paradigms of recommendation systems and introduce you to deep learning-based approaches. You'll gain the practical hands-on knowledge to build, select, deploy, and maintain a recommendation system. Read more.

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