Edu-Video |”Building a Production Machine Learning Infrastructure” – Josh Wills /Dir. Data Scientist

(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

Edu-Videos | Learn All About Apache Spark (100x Faster than Hadoop MapReduce)

Apache Spark’s popularity as part of big data analytics solutions is exploding. Spark is an open-source data analytics cluster computing framework originally developed in the AMPLab at UC Berkeley. Spark fits into the Hadoop open-source community, building on top of the Hadoop Distributed File System (HDFS). However, Spark promises performance up to 100 times faster than Hadoop MapReduce for certain applications…and that’s why you should care!

Spark’s in-memory cluster computing is very well suited to machine learning algorithms. These Videos will give you a nice introduction to Spark, how it’s being used in business and why you should care…Watch Spark Videos…

Edu-Videos | 100 Most Popular Machine Learning Talks at VideoLectures.Net

Machine learning is a subfield of computer science and artificial intelligence that deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions (wikipedia).

If you are thinking of doing or becoming a Data Scientist or Advanced Analytics professional, you will absolutely need to master Machine Learning. These 100 Most Popular Talks on Machine Learning topics are a great resource to learn. Review List

Edu-Videos | Building Recommender Systems by Netflix Research/Eng Director Xavier Amatriain

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

Blog Publisher / Head of Data Science Search

Founder & Head of Data Science Search at Starbridge Partners, LLC.