Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Schedule: Cloud sessions

13:3017:00 Tuesday, 23 May 2017
Data science and advanced analytics
Location: Capital Suite 13
Level: Advanced
Anima Anandkumar (UC Irvine)
Average rating: ***..
(3.67, 3 ratings)
Deep learning is the state of the art in domains such as computer vision and natural language understanding. Apache MXNet is a highly flexible and developer-friendly deep learning framework. Anima Anandkumar provides hands-on experience on how to use Apache MXNet with preconfigured Deep Learning AMIs and CloudFormation Templates to help speed your development. Read more.
12:0512:45 Wednesday, 24 May 2017
Data science and advanced analytics
Location: Hall S21/23 (A)
Anima Anandkumar (UC Irvine)
Average rating: ****.
(4.00, 2 ratings)
Anima Anandkumar demonstrates how to use preconfigured Deep Learning AMIs and CloudFormation templates on AWS to help speed up deep learning development and shares use cases in computer vision and natural language processing. Read more.
14:0514:45 Wednesday, 24 May 2017
Business case studies
Location: Hall S21/23 (A)
Level: Beginner
Kaz Sato (Google)
Average rating: ****.
(4.20, 5 ratings)
TensorFlow is democratizing the world of machine intelligence. With TensorFlow (and Google's Cloud Machine Learning platform), anyone can leverage deep learning technology cheaply and without much expertise. Kazunori Sato explores how a cucumber farmer, a car auction service, and a global insurance company adopted TensorFlow and Cloud ML to solve their real-world problems. Read more.
12:0512:45 Thursday, 25 May 2017
Data science and advanced analytics
Location: Hall S21/23 (A)
Level: Intermediate
Barbara Fusinska (Google)
Average rating: ***..
(3.00, 5 ratings)
The popularity of deep learning is due in part to its capabilities in recognizing patterns from inputs such as images or sounds. Barbara Fusinska offers an overview of Microsoft Cognitive Toolbox, an open source framework offering various modules and algorithms enabling machines to learn like a human brain. Read more.
12:0512:45 Thursday, 25 May 2017
Level: Intermediate
Leah McGuire (Salesforce)
Average rating: ****.
(4.00, 2 ratings)
What if you had to build more models than there are data scientists in the world—a feat enterprise companies serving hundreds of thousands of businesses often have to do? Leah McGuire offers an overview of Salesforce's general-purpose machine-learning platform that automatically builds per-company optimized models for any given predictive problem at scale, beating out most hand-tuned models. Read more.