At the core of Data Science is DATA MODELING. In this post we offer some beginner videos and a podcast (from O’Reilly ) on Predictive Modeling and Topic Modeling. Enjoy! READ MORE
Watch 2 Lectures on building Recommender Systems using Machine Learning given by the Director of Research/Engineering at Netflix at Carnegie Mellon University this Summer.
Its 2 parts at 2 hours each, touches on what is practical and important, and worthwhile if you have an interest in personalization and recommender algorithms. Watch Lectures
Get FREE eBook “Data Driven: Creating a Data Culture” by Industry thought leaders DJ Patil, Resident Data Scientist at the White House, and Hilary Mason, Founder of Fast Forward Labs.
Also WATCH video interview as they discuss how to building a data strategy and creating a data culture with Cloudera’s Director of Data Science, Josh Wills. 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
Free eBook “Practical Machine Learning: Innovations in Recommendations”
In this guide, Practical Machine Learning: Innovations in Recommendation, authors and Mahout committers Ted Dunning and Ellen Friedman shed light on a more approachable recommendation engine design and the business advantages for leveraging this innovative implementation style. Read More…
So what is HBase? Yes, it’s the Bigtable-like structured storage for Hadoop HDFS, but how exactly does it work? What is the architecture? When is a good time to use it and when is not? This post will help inform those questions. More…
This guide by Robert Schneider, who also wrote Hadoop for Dummies, created this guide give you everything you need to know about choosing the right Hadoop distribution For Production Read More
Author and Data Scientist, Vincent Granville was rated a top 20 “big data” influencer according to Forbes and Co-founded Data Science Central. With 15 years of big data, predictive modeling, and business analytics experience, Granville is no stranger to data science.
In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code. Read More
Watch Webcast (on-demand) | In an increasingly data-oriented business world, the correct use of data visualization techniques is becoming essential to business success, according to consultant William McKnight.
“Your data has a story to tell,” McKnight stated in which he provided tips on creating effective data visualizations that inform business users without confusing them. Watch Video