Why Should We Trust You-Interpretability of Deep Neural Networks – Slides from the StampedeCon AI Summit 2017
Despite widespread adoption and success, most machine learning models remain black boxes. How can one trust these models if asked to take action based on them, or even to compare two similar models? This talk presented the notion of interpretability of models focused on Deep Neural Networks.
Words are no longer sufficient in delivering the search results users are looking for, particularly in relation to image search. Text and languages pose many challenges in describing visual details and providing the necessary context for optimal results. Machine Learning technology opens a new world of search innovation that has yet to be applied by businesses.
When communicating the needs, effectiveness and measurements of AI, the work of an analyst does not just involve conducting data analysis within but communicating, championing and speaking simply when talking to the organization, clients and management.
What happens when you have knowledge with exceptions, incomplete data, error-ridden data, or a changing environment? How do you reason with uncertainty? During this session attendees learned how Boeing is uncovering and approaching these types of problems and generating actionable insights using Machine Learning and Artificial Intelligence.
In many modern applications, data are collected in unusual form. Connectome or brain imaging data are graphs. Wearable devices measuring activity are functions over time. This talk introduced object oriented data analysis.
Novel Semi-supervised Probabilistic ML Approach to SNP Variant Calling – Slides from the StampedeCon AI Summit 2017
This talk dove into technical details in machine learning model development, implementation and the value it brings to Monsanto’s breeding pipeline.
Don’t Start from Scratch: Transfer Learning for Novel Computer Vision Problems – Slides from the StampedeCon AI Summit 2017
Approaches for applying convolutional neural networks to novel computer vision problems, even without having millions of images of your own – Slides from Florian Muellerklein, Data Scientist at Miner & Kasch – StampedeCon AI Summit 2017
Can Cognitive Systems Bring Real Solutions to Complex Problems? – Slides from the StampedeCon AI Summit 2017
If cognitive systems are going to help us solve challenging problems in medicine, economics, or other fields, three aspects must be considered… – Slides from Igor Zwir (Washington University & University of Granada) – StampedeCon AI Summit 2017
This technical session provided a hands-on introduction to TensorFlow using Keras in the Python programming language, including examples using convolution neural networks for computer vision and long short term memory (LSTM) for time series.
An overview of neural nets, SVM, boosting, bagging, trees, forests, and deep learning and the common problems of overfitting and dimensionality – Slides from Stephen Coggeshall, Fraud Analytics Instructor at USC and UCSD – StampedeCon AI Summit 2017
The current gaps in analytics organizations and how to close those gaps using automated AI – Slides from Rajiv Shah, Data Scientist at Datarobot – StampedeCon AI Summit 2017
The AI renaissance and how AI is affecting the enterprise – Slides from Paul Huibers, Senior Data Scientist at Think Big Analytics – StampedeCon AI Summit 2017
How to execute Data Science efforts by creating teams with the attributes of Data Science to deliver meaningful results – Slides from “A Different Data Science Approach” by Pete Hogan (Post Holdings) – StampedeCon AI Summit 2017
This post was contributed by the Amitech Solutions team. Amitech is a sponsor and will be providing featured speaker, Paul Boal, at the 6th Annual StampedeCon Big Data Conference 2017 in St. Louis. Boal will be speaking on Enabling New Business Capabilities with...
This post was written by Michael Noll, Product Manager, at Confluent. Confluent is a sponsor and will be providing featured speaker, Cliff Gilmore, at the 6th Annual StampedeCon Big Data Conference 2017 in St. Louis. Gilmore will be speaking on Building Streaming...
The post originally appeared on DellEMC's blog written by Keith Manthey, CTO of Analytics at EMC Emerging Technologies Division. It has been republished on the StampedeCon blog with permission. DellEMC is a sponsor of the 6th Annual StampedeCon Big Data Conference in...
We asked our sponsors to tell us about their product and what they'll be showcasing as an exhibitor at the StampedeCon Big Data Conference 2017. Here is what HPE Vertica had to say: Vertica delivers much faster analytical speed at scale than your data warehouse,...
While putting together the StampedeCon IoT Summit, we found a number of use cases for the Internet of Things (IoT) in Healthcare. In fact, we found not only possible use cases but numerous actual implementations that are helping achieve better patient outcomes,...