Good, Fast, Cheap: How to do Data Science with Missing Data
When doing any sort of data science problem, we will inevitably run into missing data. Let’s say we’re interviewing 100 people and are recording their answers on a piece of paper in front of us. Specifically, one of our questions asks about income. Consider a few examples of missing... Read more
Best Deep Learning Research of 2019 So Far
We’re just about finished with Q1 of 2019, and the research side of deep learning technology is forging ahead at a very good clip. I routinely monitor the efforts of AI researchers in order to get a heads-up for where the technology is headed. This foresight allows me to... Read more
Want to Train Computer Vision Models 100x Faster? Meet MissingLink.ai
To stay competitive, large and small organizations are turning to deep learning and AI for faster innovation. They strive to create value, improve customer experience and ship faster to differentiate themselves from the competition, so they place tremendous pressure and demands on their data science teams to deliver fast.... Read more
Automating Machine Learning: Just How Much?
Many businesses are interested in deploying machine learning, predictive analytics, or AI to gain the upper hand and make the right decisions. This can be a struggle as finding the right technology and trustworthy experts is both expensive and complex. Even when the technology is provided, deploying machine learning... Read more
The Art of Conversational and Domain-Specific AI
Everything that Siri, Alexa, and other voice assistants do is quite impressive – it’s hard to argue otherwise. Though, there are industries where generalist AIs aren’t enough; Siri won’t be able to answer domain-specific questions that a person in the transportation industry may have. This is why Wluper is... Read more
3 Things Your Boss Won’t Care About in Your Data Visualizations
Data Visualization is a critical part of your job as a data scientist, but it does require a bit of skill and a bit of intuition. Visualizations have incredible power to both inform and obscure, so getting the fundamentals of visualization down is a foundational data science skill. When... Read more
Crisis Intervention and Saving Lives with NLP & Predictive Analytics
Editor’s note: Tom is a speaker for ODSC East 2019 this April 30-May 3! Be sure to attend his talk, “Crisis Intervention and Saving Lives with Natural Language Processing & Predictive Analytics.” The field of predictive modeling is still young, but one of the most effective trailblazers is Crisis... Read more
Reinforcement Learning vs. Differentiable Programming
Check out this talk from a London meetup where I spoke on differential programming with Julia! Watch here. We’ve discussed the idea of differentiable programming, where we incorporate existing programs into deep learning models. But if you’re a researcher building, say, a self-driving car, what does differentiable programming mean in... Read more
Asking the Right Questions with Machine Learning
Chris Gropp, a PhD student at Clemson University, spoke at HPCC Systems Tech Talk 10, focusing on how to plan effectively at the start of a machine learning research project to achieve a successful outcome. This blog shares his experience on how to ask the right questions with machine... Read more
Darwin: Machine Learning Beyond Predefined Recipes
While machine learning has enabled massive advancements across industries, it requires significant development and maintenance efforts from data science teams. The next evolution in human intelligence is automating the creation of machine learning models that do not follow predefined formulas, but rather adapt and evolve according to the problem’s... Read more