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 hardware, the test suites are.
This talk by Joshua Malina, Senior Machine Learning Engineer at AMEX, focuses on how Pandas makes time series data investigation more accessible.
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.
Medical Content Management Concepts And A Roadmap To Support Clinical Decision Support Software In A Global Marketplace
This post is adapted from a talk by Charles Alcorn – Head of Data Science at Roche Molecular Systems and describes medical content management concepts for the field of Oncology.
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:
At most companies, a data scientist’s main objective is to determine how machine learning technologies can revolutionize business procedures. In his insightful talk in February 2018 at Data Science Salon Miami, Mark Fridson Principal Data Scientist at Carnival Cruise Line, explores how the right.
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 arose during the installment of the.
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 most. She’s using algorithms.
In advance of the Data Science Salon taking place in Miami from September 11 to 13, we asked our speakers to shed some light on how Artificial Intelligence and Machine Learning are impacting three of America’s largest industries. Whether these data science practitioners have been working in the.
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 on what makes individual customers.