Machine Learning

Past Presentations

Machine Learning for Handwriting and Sketch Recognition

The terms “big data”, “machine learning”, “neural networks”, and “deep learning” have appeared in many attention-grabbing headlines over the years, but what do they really mean? This presentation will describe some concrete examples of how they have impacted a variety of products,...

Li-Lun Wang Software Engineer @Google
Henry Rowley Staff Research Scientist @Google
Zero to Production in Five Months @ ThirdLove

At ThirdLove, we believe that every woman should be comfortable and confident every day. For half of the world’s population that means a bra whose straps stay put, their cup mold to their shape and is the perfect style for the occasion. In this talk, we will discuss how we built our first...

Megan Cartwright Head of Data Science @ThirdLove
Michelangelo - Machine Learning @Uber

Michelangelo is the Machine Learning Platform that powers most of the machine learning solutions at Uber. The early goal of Michelangelo was to enable teams around Uber to deploy and operate ML solutions at Uber scale. Now that the system has matured, our focus has shifted towards developer...

Jeremy Hermann Machine Learning Platform @Uber
Nearline Recommendations for Active Communities @LinkedIn

At LinkedIn, our mission is to use AI to connect every member of the global workforce to make them more productive and successful. The social network is the backbone for professionals to engage with each other at every stage of their career. In the first half of this talk, I will focus on...

Hema Raghavan Senior Manager & Heading AI for Growth and Communication Relevance @LinkedIn
Jupyter Notebooks: Interactive Visualization Approaches

Jupyter Notebooks are becoming the IDE of choice for data scientists and researchers. They provide the users with a nice exploratory environment where they can quickly research and prototype different models and visualize the results all in one place. Notebooks are easy to share and can be...

Chakri Cherukuri Senior Researcher in the Quantitative Financial Research Group @Bloomberg
ML for Question and Answer Understanding @Quora

Quora's mission is to share and grow the world’s knowledge. On Quora, people ask questions on a wide range of topics and Quora surfaces those questions to people with relevant credentials and experiences so they can respond with an insightful, helpful answer. The more you use Quora—whether...

Nikhil Dandekar Leads NLP @Quora

Interviews

Sarah Aerni Senior Manager, Data Science @Salesforce

Models in Minutes not Months: AI as Microservices

I cannot go to any Data Conference and not hear about the Einstein Platform. Why?

Salesforce is democratizing AI with Einstein. Any company and any business user should be able to use AI, regardless of size.

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Ville Tuulos Machine Learning Infrastructure Engineer @Netflix

Human-Centric Machine Learning Infrastructure @Netflix

Can you give an example of some of the questions you get from data scientists when you are trying to deploy models?

When it comes to common questions, as boring as it may sound, my experience is that machine learning infrastructure is much more about data than science. Most questions we get are related to data: how do I find the data I need, how do I set up the data pipeline, how do I handle the somewhat non-trivial amounts of data in python and R,...

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Justin Basilico Machine Learning Research/Engineering Director @Netflix

Artwork Personalization @Netflix

What work do you do at Netflix?

I lead one of the Machine Learning and Recommendation teams at Netflix. We're responsible for the end-to-end machine learning that decides what shows up on the Netflix homepage across all our different experiences. When you log into Netflix, my team is responsible for what rows of TV shows and movies you see on the homepage. We select...

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Sasha Rosenbaum Program Manager on the Azure DevOps Engineering Team @Microsoft

CI/CD for Machine Learning

What do you want people to leave the talk with?

If I had to summarize it in one line it would be any CI/CD pipeline is better than none. If you're going to automate major key pieces of this process will make your life a lot easier, simplify it and add speed to your deployments.

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Pamela Gay Senior Scientist @planetarysci (Planetary Science Institute)

When Machine Learning Can't Replace the Human

What is the work that you're doing today?

I'm working to find ways to help us use technology to map other worlds. At this particular moment in time, computer vision isn't quite ready to mark the hazards our spacecraft face day today. I'm trying to figure out how to integrate in humans in my algorithm and do it in a way that's ethical and can, where possible,...

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