Data Science Blog | Sheila Doshi

Announcing: Data Science Pop-up San Francisco

We're excited to announce Data Science Pop-up San Francisco, the 6th event in our Data Pop-up Series. The day-long forum will be held in downtown San...

Data Science Domino Data Popup data

23 Visualizations and When to Use Them

This talk was presented live at PLOTCON 2016 in NYC on November 18, 2016. Scatterplot or bubble chart – what visualization makes the most sense for...

Data Science Visualizations Practical Techniques

Python vs. R for Data Science

R and Python are both popular open source programming languages for data scientists. Each has its advantages for performing data science tasks. So,...

Data Science Code Practical Techniques R Data Scientists Python

Exploring the Limits of Parallelized Machine Learning

This week, Domino’s Chief Data Scientist, Eduardo Ariño de la Rubia, presented a webinar: Machine Learning at Scale with Amazon's X1 Instance. If you...

Data Science Leaders At Work Amazon Machine Learning X1 Practical Techniques Webinar Data Science Leaders IT Models Machine

How Buzzfeed Uses Real-Time Machine Learning to Choose Their Viral Content

This talk took place at the Domino Data Science Pop-up in Los Angeles, CA on September 14, 2016. In this presentation, Jane Kelly, Director of Data...

Data Science Machine Learning Practical Techniques Domino Data Popup data

Using k-Nearest Neighbors (k-NN) in Production

What is k-Nearest Neighbors (k-NN)? k-Nearest Neighbors is a simple algorithm that stores all available cases and classifies new cases based on a...

Data Science Code Machine Learning Domino Practical Techniques Webinar R Python Models data K-NN

Choosing Content for Netflix: How Data Leads the Way

This talk took place at the Domino Data Science Pop-up in Los Angeles, CA on September 14, 2016 In this presentation, Paul Ellwood, VP of Data...

Data Science Leaders At Work Machine Learning Practical Techniques Domino Data Popup data

About Sheila Doshi