IBM Paves Way for Closing Skills Gap in New AI Tool Release

IBM Paves Way for Cl...

“Deep Learning-as-a-Service” (DLaaS) can now be added to the “as-a-service” trend thanks to IBM’s recent announcement that it launched a tool within Watson Studio that “allows data scientists to visually design their neural networks and scale out their training runs while auto-allocation means paying only for the resources utilized.” According to the Wall Street Journal, […]

Drumroll Please: The ODSC March Madness 2018 Bracket Predictions

Drumroll Please: The...

It’s that time of year, the snow has melted, flowers are starting to blossom, and the country is consumed by the fever of March Madness. Today, March 15th, marks the true kick-off of the 63-match tournament, famous for its thrilling competitive play and heart-stopping upsets. The tourney has a been focus of the data science […]

A Look at Gary Marcus’s Deep Learning: A Critical Appraisal

A Look at Gary Marcu...

There are many mixed opinions regarding the future of deep learning, and how far it can really go. Gary Marcus’s paper, “Deep Learning: A Critical Appraisal” overviews the social and more technical concerns with deep learning, and examines the possibility of it simply hitting a wall. Having only reached mainstream technology at acceptable production standards […]

Requests for Research

Requests for Researc...

Table of contents: Task-independent data augmentation for NLP Few-shot learning for NLP Transfer learning for NLP Multi-task learning Cross-lingual learning Task-independent architecture improvements It can be hard to find compelling topics to work on and know what questions are interesting to ask when you are just starting as a researcher in a new field. Machine […]

McKinsey’s Succinct AI Guide Helps Executives Quickly Understand

McKinsey’s Suc...

Day in and day out, news headlines, blog articles, Youtube channels and more feature the different ways in which technology regularly impacts various aspects of business. A keyword through all of the talk and noise is “AI.” The term, “artificial intelligence” might just be the buzzword of 2018. As the AI race continues and grows […]

Staying Grounded in the Hyped World of Deep Learning

Staying Grounded in ...

Deep Learning. It is a phrase that more and more executives and developers alike are hearing in stand-up meetings and the board room. Companies from Google to IBM to Microsoft, are investing millions of dollars and man-hours into the development of deep learning platforms and products and spending largely on advertising and marketing to show […]

Introduction to Learning to Trade with Reinforcement Learning

Introduction to Lear...

Thanks a lot to @aerinykim, @suzatweet and @hardmaru for the useful feedback! The academic Deep Learning research community has largely stayed away from the financial markets. Maybe that’s because the finance industry has a bad reputation, the problem doesn’t seem interesting from a research perspective, or because data is difficult and expensive to obtain. In this post, I’m going to argue […]

Deep Learning for Disaster Recovery: Automatic Detection of Flooded Roads

Deep Learning for Di...

Jack Kwok is a Software Engineer with 15 years of professional experience. At Insight, he built a Deep Learning solution to automatically detect flooded roads during natural disasters. He is now a Software Engineer at Lyft working with Machine Learning and Deep Learning. Want to learn applied Artificial Intelligence from top professionals in Silicon Valley […]

How To Create Data Products That Are Magical Using Sequence-to-Sequence Models

How To Create Data P...

A tutorial on how to summarize text and generate features from Github Issues using deep learning with Keras and TensorFlow. Teaser: Training a model to summarize Github Issues Predictions are in rectangular boxes. The above results are randomly selected elements of a holdout set. Keep reading below, there will be a link to many more examples! Motivation: I never imagined I […]