VIDEO PODCAST | In Episode 5 of this podcast series by Renee Teate of “Becoming a Data Scientist”, she interviews Clare Corthell, founding partner of summer.ai and creator of the Open Source Data Science Masters curriculum, about becoming a data scientist. Read More
The challenge of data modeling is to understand how to work with complex data in order to standardize, structure and optimize data to gets accurate insights quickly. Watch this video by Product Manager, Evan Castle of Sisence, to learn everything you need to know about data modeling. Watch Video
Video |Seattle Spark Meetup | Hossein Falaki – Software Engineer and Data Scientist from Databricks introduces us to SparkR and how it integrates the two worlds of Spark and R.
He demonstrates one of the most important use cases of SparkR: exploratory analysis of very large data. Watch Video
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…