Wearables – A Data Scientist’s Dream Come True

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Everyone knows that data scientists love data and the more of it, the greater the love. As a result, the surging interest in wearables is just what the doctor ordered because these electronic devices collect enormous treasure troves of data. In turn, it is the job of data scientists to make sense of it all, unlock secrets, and assign economic value. As a data scientist, it is a dream come true!

Data Science 101: Sentiment Classification at Facebook

A very hot topic in data science these days is the ability to discern “sentiment” by analyzing text from social media sources. In the talk below, Ryan Rosario presents some of his work at Facebook – “Sentiment Classification Using scikit-learn.” Ryan is a Quantitative Engineer at Facebook.

Interview: AgilOne Delivers Customer Happiness via Predictive Marketing

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“AgilOne is a cloud-based predictive marketing platform that makes advanced analytics and predictive targeting easy for all marketers large and small. We believe all marketers have the right to deliver happiness. Unlike offerings from large vendors such as IBM and Adobe, AgilOne is easy to install and easy to use. It is the only integrated platform that combines data integration (omni-channel customer profiles) with advanced predictive analytics and out of the box predictive marketing campaigns (actions).”

Supervised Machine Learning

Supervised Learning

To help our audience leverage the power of machine learning, the editors of insideBIGDATA have created this weekly article series called “The insideBIGDATA Guide to Machine Learning.” This is our fifth installment, “Supervised Machine Learning.”

Data Munging, Exploratory Data Analysis, and Feature Engineering

inisde big data guide to machine learning

To help our audience leverage the power of machine learning, the editors of insideBIGDATA have created this weekly article series called “The insideBIGDATA Guide to Machine Learning.” This is our fourth installment, “Data Munging, Exploratory Data Analysis, and Feature Engineering.”

Free Conference – Big Data Camp 2014

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Feeling left out because your boss wouldn’t let you attend the Hadoop Summit 2014 happening this week? Not to worry! Here’s a free alternative, especially attractive if you happen to live/work in Los Angeles. The Big Data Camp LA 2014 is a free, all-day conference on Saturday, June 14 hosted at the DirectTV campus near LAX.

Skytree Supports Big Data Analytics in Hadoop with Hortonworks Data Platform

Skytree®, the Machine Learning Company®, today announced that its predictive analytics software is now available on Apache Hadoop YARN to deliver agile analytics on Hadoop clusters. Skytree’s flagship product — Skytree Server® — is built to provide high-performance Machine Learning and takes advantage of the multi-workload capabilities enabled by YARN’s increased reliability, scalability and manageability.

Hadoop Summit 2014 – San Jose

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Hortonworks and Yahoo! are pleased to host the 7th Annual Hadoop Summit, the leading conference for the Apache Hadoop community. This event, expanded now to three days, June 3-5, will feature many of the Apache Hadoop thought leaders who will showcase successful Hadoop use cases, share development and administration tips and tricks, and educate organizations about how best to leverage Apache Hadoop as a key component in their enterprise data architecture.

Data Science @ Activision

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This past week I was hot on the Meetup circuit here in Silicon Beach and I decided to take in a presentation “Data Science @ Activision”. Activision is the publisher of the famously popular video game “Call of Duty.” The company has multiple analytic teams. The talk provided a detailed overview of data science at Activision and provided some additional detail on two of their analytic groups: the Game Analytics Team and the Marketing & Advanced Analytics Team.

Guavus Announces Official Sponsorship of UC Berkeley AMPLab

Guavus, a leading provider of big data analytics solutions, has announced it is an official sponsor of the UC Berkeley AMPLab, a collaborative research effort at UC Berkeley where Spark, Shark and Mesos have been developed.