Watch this video of Nick Elprin, founder of Domino Data Lab, talk about how to deploy predictive models into production, specifically in the context of a corporate enterprise use case. Nick demonstrates an easy way to “operationalize” your predictive models by exposing them as low-latency web services that can be consumed by production applications. Read More
(Reposted due to popular demand) Another great video from Josh Wills. Josh is Sr. Director of Data Science at Cloudera and has a gift for making fairly complicated technology explanations very digestible to the novice and intermediary techie.
What I most love about this video is how Josh explains -very clearly – the issue of translating analytics Machine Learning on a large set of data records (many individuals) and making it work well in a “real life” production environment on a single individual (think eCommerce). Watch Video
Gartner has published the “2015 Magic Quadrant for Advanced Analytics Platforms”, and I am pleased to share a complimentary copy of this important research with you via Alteryx. Read More
SPOTLIGHT | Read about Domino Data Labs and how its platform can both vastly improve your data science team’s speed and capability converting data models to production code, but also save you big time on expensive engineers in short supply…more! Read More
Cool company alert! SkilledUp, which bills itself as an “education reformer” was built to help you find online courses, gain and increase your skills and prove your worth to employers.
Call it a public service, call it amazing – they call it transforming education. See their complete LIST of DATA SCIENCE Bootcamps & Fellowships! Read More
Mode’s public side has been called the “Github for Data Science”, especially for sharing open source SQL queries and data sets. The corporate version has been a hit with fast growing, data-centric companies who prefer MODE over building their own analytics tools.
Read about the NEW Mode workflow and features launched this weekend and how data analysts are using it READ MORE
Here are the Top Data Science positions open at our clients, as well as, articles and books for the week of February 8th. Enjoy! Read More
Are you’re interested in assessing how and when a given data technology — deep learning, machine intelligence, natural language generation — can move from the theoretical to commercial use?
If so listen to Hilary Mason CEO / Fast Forward Labs, talks about how they tap into a wide array of expertise sources to come up with new ideas for applications. Read More / Listen
Unlike the many HR events that dabble in analytics, this is the first and only predictive analytics event where business and HR leaders can learn from success stories of predictive analytics applied to solve workforce challenges in a myriad of industries and roles. Read More
Michael Berry is taking a stand against the big data hype. More data, said the analytics director for travel website TripAdvisor, doesn’t always mean better business results. Case in point: big data and predictive analytics. Read More…
Mr Casselberry writes, “When you hear people referring to big data, they’re actually referring to is the use of NoSQL database implementations to store and process large amounts of information.
Don’t be discouraged! In the following sections we’ll get into what those NoSQL databases are and how to identify which is best, if any, for your project[s]” Read More