A new machine learning podcast

A new machine earning podcast by Sam Charrington. It tracks down the weekly machine learning news and summarizes the major events. Highly recommended!

4th Large Scale Recommender Systems workshop - deadline extended

We have extended the deadline of our Large Scale Recommender Systems workshop to June 30. This is the 4th year we are organizing this workshop as part of ACM Recsys 2016. Anyone with novel work in the area of applied recommender systems is welcome to submit a talk proposal.

GraphLab Create healthcare use case

A nice blog post from Mark Pinches, our Manchester evangelist who is working with John Snow  Labs. It shows how to use GraphLab Create for slicing, dicing and aggregations of healthcare data.

Novomatic - comparing spark, pandas and Dato

Interesting slides from Bogdan Pirvu head data science @ Novomatic (Austrian Gaming Industries). I met Bogdan at RecSys Vienna last fall and he got interested in GraphLab Create. In his talk Bogdan compares pandas, Spark and Graphlab Create. Guess who is the winner?

Prof. Alex Smola moves to Amazon

Here is the note he wrote on his blog. Alex will be heading Amazon Cloud ML effort. Definitely a great win for Amazon!

If you like to hear Alex speaking about his recent research you should attend our Data Science Summit July 12-13 in SF. You are welcome to use discount code DSSfriend.

RSA fraud in social media report

An interesting report from RSA is found here. A lot of cool visualizations of social communities of fraudsters.

Dato for finance use case

An interesting blog post by Andrea Nalon from Italy about stock market prediction using Dato.

Data Science Summit Europe - A great success!!

Thanks for everyone who helped us create this 1000 attendees data science event in Jerusalem. A special thanks for Assaf Araki from Intel & Avner Algom CEO IGTCloud and all the guests that arrived especially from abroad.

Here are some pictures from the event.

Dato training day at Azrieli college:

Ben Lorica's keynote

 JVP Dinner

 My keynote

 Full house!

 Meeting with Dr. Kim Larsen, SVP Deutsche Telekom

 Dato booth

 My parallel session talk:

MMDS 2016 is coming up

My friend Michael Mahoney is setting up again MMDS (Workshop on Algorithms of Massive DataSets). Only 9 days left for registration:

MMDS 2016. Workshops on Algorithms for Modern Massive Data Sets  Register for MMDS: http://mmds-data.org/home/registration Confirmed speakers List: http://mmds-data.org/

Location: UC Berkeley, CA Dates: Tuesday, June 21 through Friday, June 24   MMDS Registration Deadline - ONLY 9-DAYS LEFT! This is a quick reminder that MMDS 2016 Registration is available until June 12th, 2016. Please don't forget to register early to secure your spot!   Description MMDS 2016 includes four-day series of academic workshops address algorithmic and statistical challenges in modern large-scale data analysis. The goals of this series of workshops are to explore novel techniques for modeling and analyzing massive, high-dimensional, and non-linearly structured scientific and internet data sets; and to bring together computer scientists, statisticians, mathematicians, and data analysis practitioners to promote the cross-fertilization of ideas.   MMDS Organizers: Michael Mahoney (Chair), Alex Shkolnik, and Petros Drineas