Presented By O'Reilly and Cloudera
Make Data Work
Dec 4–5, 2017: Training
Dec 5–7, 2017: Tutorials & Conference
Singapore

Tutorials

On Tuesday, December 5, choose from all-day and half-day tutorials. These expert-led presentations give you a chance to dive deep into the subject matter. Please note: to attend, you must register for a Gold or Silver pass; does not include access to training courses.

Tuesday, December 5

9:00am12:30pm Tuesday, December 5, 2017
Location: 321/322
Jared Lander (Lander Analytics)
Average rating: ***..
(3.00, 1 rating)
Modern statistics has become almost synonymous with machine learning—a collection of techniques that utilize today's incredible computing power. Jared Lander walks you through the available methods for implementing machine learning algorithms in R and explores underlying theories such as the elastic net, boosted trees, and cross-validation. Read more.
9:00am12:30pm Tuesday, December 5, 2017
Location: 328/329
Yufeng Guo (Google)
Average rating: ***..
(3.18, 17 ratings)
Yufeng Guo walks you through training and deploying a machine learning system using TensorFlow, a popular open source library. Yufeng takes you from a conceptual overview all the way to building complex classifiers and explains how you can apply deep learning to complex problems in science and industry. Read more.
9:00am12:30pm Tuesday, December 5, 2017
Location: 308/309
Vinithra Varadharajan (Cloudera), Philip Langdale (Cloudera), Jason Wang (Cloudera), Fahd Siddiqui (Cloudera)
Average rating: **...
(2.80, 5 ratings)
Vinithra Varadharajan, Philip Langdale, Jason Wang, and Fahd Siddiqui lead a deep dive into running data engineering workloads in a managed service capacity in the public cloud, highlighting cloud infrastructure best practices and illustrating how data engineering workloads interoperate with data analytic engines. Read more.
9:00am12:30pm Tuesday, December 5, 2017
Location: 310/311
John Akred (Silicon Valley Data Science)
Average rating: ****.
(4.67, 3 ratings)
Big data, AI, and data science have great potential for accelerating business, but how do you reconcile business opportunity with the sea of possible technologies? Data should serve the strategic imperatives of a business—those aspirations that will define an organization’s future vision. John Akred explains how to create a modern data strategy that powers data-driven business. Read more.
9:00am12:30pm Tuesday, December 5, 2017
Location: 323
Alistair Croll (Solve For Interesting), Kyungtaak Noh (SK Telecom), Mike Prorock (mesur.io), Hugo Sheng (Qlik), Neil Hirano (Dotz), Leandro Andrade (Dotz), Praveen Deorani (Holmusk), Ted Malaska (Capital One), Mike Koelemay (Lockheed Martin)
In a series of half-hour talks aimed at a business audience, you’ll hear from household brands and global companies as they explain the challenges they wanted to tackle, the approaches they took, and the benefits—and drawbacks—of their solutions. If you want practical insights about applied data, look no further. Read more.
1:30pm5:00pm Tuesday, December 5, 2017
Location: 321/322
Vartika Singh (Cloudera), Jeffrey Shmain (Cloudera)
Vartika Singh and Jeffrey Shmain walk you through various approaches using the machine learning algorithms available in Spark ML to understand and decipher meaningful patterns in real-world data. Vartika and Jeff also demonstrate how to leverage open source deep learning frameworks to run classification problems on image and text datasets leveraging Spark. Read more.
1:30pm5:00pm Tuesday, December 5, 2017
Location: 328/329
Tim Seears (Think Big, a Teradata company), Karthik Bharadwaj Thirumalai (Teradata)
Average rating: *....
(1.17, 6 ratings)
Tim Seears and Karthik Bharadwaj Thirumalai explain how to apply deep learning to improve consumer recommendations by training neural nets to learn categories of interest using embeddings. They then demonstrate how to extend this with WALS matrix factorization to achieve wide and deep learning—a process which is now used in production for the Google Play Store. Read more.
1:30pm5:00pm Tuesday, December 5, 2017
Location: 308/309
Jonathan Seidman (Cloudera), Ted Malaska (Capital One)
Average rating: ****.
(4.00, 5 ratings)
Using Customer 360 and the IoT as examples, Jonathan Seidman and Ted Malaska explain how to architect a modern, real-time big data platform leveraging recent advancements in the open source software world, using components like Kafka, Impala, Kudu, Spark Streaming, and Spark SQL with Hadoop to enable new forms of data processing and analytics. Read more.
1:30pm5:00pm Tuesday, December 5, 2017
Location: 310/311
Bargava Subramanian (Binaize Labs), Amit Kapoor (narrativeVIZ)
Average rating: ***..
(3.00, 4 ratings)
One of the challenges in traditional data visualization is that they are static and have bounds on limited physical/pixel space. Interactive visualizations allows us to move beyond this limitation by adding layers of interactions. Bargava Subramanian and Amit Kapoor teach the art and science of creating interactive data visualizations. Read more.
1:30pm5:00pm Tuesday, December 5, 2017
Location: 323
Alistair Croll (Solve For Interesting), Clifton Phua (NCS Group), Mark Donsky (Okera), Syed Rafice (Cloudera), Victor Chua (StarHub Ltd), carme artigas (Synergic Partners), Z lin (Teralytics)
The modern city is awash in data. Cheap sensors on cars, roads, and people give us a real-time understanding of traffic. We can track pollution, temperature, and climate with unerring precision. Satellite photographs reveal shade cover, property values, and building development. Read more.