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ODSC Speaker
Automating Image Annotation with MAX

Automating Image Annotation with MAX

ConferencesMachine LearningModelingODSC Speakerimage annotationmodel asset exchangeWest 2019posted by ODSC Community October 16, 2019

This blogpost introduces a use-case example to automate image annotation with MAX (Model Asset Exchange). To learn more about how our deep learning models are created, containerized, and deployed to production, come join our training at ODSC West 2019: Deploying Deep Learning Models as Microservices.  Introduction The Model Asset Exchange... Read more
Three Methods of Data Pre-Processing for Text Classification

Three Methods of Data Pre-Processing for Text Classification

ConferencesModelingODSC SpeakerTools & LanguagesWorkflowpre-processingposted by Nick Acosta October 16, 2019

Editor’s Note: Nick will be presenting on this idea of data pre-processing during the workshop “Choosing The Right Deep Learning Framework: A Deep Learning Approach,” at ODSC Europe in London this November! As a developer advocate at IBM, I work to empower AI, machine learning, and deep learning developers... Read more
Composable Machine Learning

Composable Machine Learning

ConferencesMachine LearningModelingODSC SpeakerWest 2019posted by ODSC Team October 14, 2019

Even as machine learning (ML) algorithms become more sophisticated and powerful, the way ML teams build ML systems hasn’t changed much. In this article, we’ll explain the need for composable machine learning systems. First, take a look at the old, inefficient way. Once the team figures out the task... Read more
Applications of AI in Cybersecurity

Applications of AI in Cybersecurity

ConferencesMachine LearningModelingODSC Speakercybersecurityposted by Dustin Burns October 10, 2019

Editor’s Note: See Dustin’s talk “Applications of AI in Cybersecurity” at ODSC West 2019. Security has historically lagged behind the implementation of new technology. With AI/ML transforming how industries and government agencies do business and serve citizens, it is critical that developers build security into our architectures from the... Read more
A Crash Course on Deep Learning in the Cloud

A Crash Course on Deep Learning in the Cloud

ConferencesDeep LearningModelingODSC SpeakerCloudEurope 2019posted by Jordan Bakerman October 9, 2019

Deep learning is the newest area of machine learning and has become ubiquitous in predictive modeling. The complex brain-like structure of deep learning models is used to find intricate patterns in large volumes of data. They have substantially improved the performance of general supervised models, time series, speech recognition,... Read more
It’s About Time. Designing a Streaming Architecture For High Frequency Sensor Data

It’s About Time. Designing a Streaming Architecture For High Frequency Sensor Data

ConferencesModelingODSC SpeakerWest 2019posted by Heather Gorr October 8, 2019

Time is precious, short, relative and complicated… especially when managing streaming applications, where calculations are performed in near-real-time. Even more challenges arise when data come from sensors and are sampled at different rates and high frequencies. Machine and deep learning algorithms are often incorporated and have different mathematical assumptions... Read more
ODSC West 2019 Preview: Get Started with Deep Learning (by Trying It!)

ODSC West 2019 Preview: Get Started with Deep Learning (by Trying It!)

ConferencesODSC SpeakerWest 2019posted by Renee Qian October 8, 2019

There are lots of ways to get started learning deep learning. The best we’ve found is to dive in with examples!  If you’re attending ODSC West, you can get your hands dirty at the 1.5-hour workshop: Practical Deep Learning. Bring your laptop for hands-on examples training a deep learning... Read more
Sequence Modelling with Deep Learning

Sequence Modelling with Deep Learning

ConferencesDeep LearningModelingODSC SpeakerEurope 2019posted by Natasha Latysheva October 7, 2019

This is a short preview post for my upcoming tutorial  “Sequence Modelling with Deep Learning” at ODSC London in November 2019. — Much of data is sequential — think speech, text, DNA, stock prices, financial transactions, and customer action histories. Our best-performing methods for modelling sequence data use deep neural networks,... Read more
Building a Natural Language Question & Answer Search Engine

Building a Natural Language Question & Answer Search Engine

ConferencesModelingNLP/Text AnalyticsODSC SpeakerWest 2019posted by Adam Spannbauer October 2, 2019

Didn’t have time to read the book for the big quiz?  Why not build a system to answer the questions for you? Using the architecture pictured below we can build out a framework that can accept natural language questions as a query and answer the question using a corpus... Read more
Lots of Data, No Labels, Now What?

Lots of Data, No Labels, Now What?

ConferencesModelingODSC SpeakerLabeled DataWest 2019posted by Paolo Tamagnini September 30, 2019

Editor’s Note: Interested in learning about the problem of: lots of data, no labels? See Paolo’s talk “Guiding AI to Generate the Labels we do not have with Active Learning” at ODSC West 2019. Let me tell you about a common stereotypical data story in many industries today, simplified... Read more
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