Tag: Machine Learning
Operationalizing Data Science

Operationalizing Data Science

Consider how the software development life cycle (SLDC) is well-defined at this point: planning, creating, testing, deploying, maintaining – or some variant, depending on your software methodology. The gist remains consistent. Computer software runs “logic” in...

Time Series Analysis with Pandas

Time Series Analysis with Pandas

This talk by Joshua Malina, Senior Machine Learning Engineer at AMEX, focuses on how Pandas makes time series data investigation more accessible.     My name is Josh Malina, I work at American Express. Today we'll be talking about time series analysis with...

AI and the Index Management Problem

AI and the Index Management Problem

This blog post by Douglas Hamilton, Chief Data Scientist and Managing Director of NASDAQ’s Machine Intelligence Lab, explores applying machine learning to the portfolio management problem to derive better indexes.     I'm Doug Hamilton – I'm Chief Data...

Automated Forecasting using AutoTS in RemixAutoML for R

Automated Forecasting using AutoTS in RemixAutoML for R

If you are having the following symptoms at your company when it comes to business KPI forecasting, then maybe you need to look at automated forecasting: Ugly Excel spreadsheets with multiple tabs and 2000s style pastel formatting Business unit managers, store...

How is Synthetic Media Transforming the Media Landscape?

How is Synthetic Media Transforming the Media Landscape?

We live in a society that can be resistant to change, especially when it comes to technology.  But according to Justin Hendrix, Executive Director of New York City Media Lab, the discussions surrounding AR and VR are hardly different from debates that surely...

Algorithmic Recommendations at The New York Times

Algorithmic Recommendations at The New York Times

Staying updated in our vastly changing world is very important, but breaking news is not the only content out there. Anna Coenen, Senior Data Scientist at the New York Times, is determined to make sure that evergreen content reaches the audience that will value it the...

Customer Lifetime Values: Revisions for a Digital Retail Brand

Customer Lifetime Values: Revisions for a Digital Retail Brand

Innovations in Data Science have increased not only the amount of consumer data available to brands, but also the methods in which this data can be measured.  Data Scientists in the retail industry are no longer limited to counting coupons and moreover, can focus...