AI Learning Accelerator

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Solving the Data Scientist's Dilemma - The Cold Start Problem

How can you maximize the data science outcomes, benefits, and applications when faced with the cold start problem?

Knowledge Graphs in Financial Technology – Future or Hype

Analyzing Space - Spatial Data Science Methods

Applications of Mixed Effects Random Forests

Machine Learning Powers Better Decisions in Financial Services

A Breakthrough for Natural Language

Matrix Algorithms at Scale: Randomization and using Alchemist to bridge the Spark-MPI gap

We describe use cases from scientific data analysis that motivated the development of Alchemist and that benefit from this system.

Blockchain and AI, or future data systems must be built differently

Challenges and Opportunities in Applying Machine Learning

Introduction to Python for Data Science

We'll take a closer look at how Python can be leveraged to build effective data science workflows.

Blockchain AI, or Future Data Systems Must Be Built Differently

Enter the Matrix: Unsupervised feature learning with matrix decomposition to discover hidden knowledge in high dimensional data

Mapping the Global Supply Chain Graph

Engineering For Data Science

This talk will discuss Docker as a tool for the data scientist.

Deploying your AI/FML investments

Introduction to Machine Learning

This talk gives a general introduction to machine learning, as well as introduces practical tools for you to apply machine learning in your research.

Deep Learning in Real-Time

We will take a tour of different DL algorithms and applications, learn how different DL models are built, and see how to deploy DL models for real-time processing with SAS technology.

Applied Finance - The Third Culture

In this session we explore why it is important that we bridge the gap between the traditional data science cultures and applied finance.

Applications of Deep Learning in Aerospace and Building Systems

This talk demonstrates using DBN, DAE, DRL and GAN in five different aerospace and building systems applications.

Machine Learning for Mobile Sensing Applications

In this talk we’ll detail the kinds of sensor data available from mobile phones and other smart devices.

Deep Learning Techniques for Vision

This is an extremely hands-on course to take students from little knowledge of deep learning to comfort building vision models with Keras and TensorFlow.

TRANSFER LEARNING: APPLICATIONS FOR NATURAL LANGUAGE UNDERSTANDING

This talk focuses on language related use cases for customer service, search, question answer, self-help and consumer finance. We'll also have some fun with applications of transfer learning.

Pavlov’s Sandman: Issues detecting snorers, training oneself not to snore via shock collar, war crime technicalities, and how to avoid all three

This talk is the journal of the explorations of a total novice audio analyst, seeking to correctly identify snores, and shock himself appropriately.