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What has Kaggle Learned from 2 Million Machine Learning Models?

I was excited to attend a very compelling Meetup featuring Anthony Goldbloom, co-founder and CEO of Kaggle who talked about the genesis of his company and what they’ve learned along the way – “What has Kaggle Learned from 2 Million Machine Learning Model?” It was fascinating!

Talend Releases Free, Easy-to-Use Desktop App for Quickly Preparing Data for Analysis

Talend, a global leader in big data integration software, today introduced Talend Data Preparation, a self-service application that enables business users to simplify and expedite the often laborious and time consuming process of data wrangling or the data manipulation and analysis tasks that are often performed using spreadsheets.

Analytics Plus the Internet of Things Add up to Grid Reliability

SAS and OSIsoft are showcasing how predictive analytics from SAS and infrastructure-management software from OSIsoft can transform asset data from IoT connected devices into an optimized grid with the Salt River Project powered by SAS.

Architecting Predictive Algorithms for Machine Learning

In the presentation below, Seth Juarez of DevExpress discusses architecting predictive algorithms for machine learning.

Levi’s® Stadium Visitors Score with VenueNext and Splunk

Splunk Inc. (NASDAQ: SPLK), provider of a leading software platform for real-time Operational Intelligence, announced that VenueNext, creator of integrated technology platforms for venues, is using Splunk® Enterprise to help the Levi’s Stadium operational teams make real-time, data-driven decisions that enhance operational effectiveness, precision and control.

Using Excel Versus Using R

Trying to show the data analysis package R is no more scary than Excel, John Mount of the Win-Vector blog shows a simple analysis both in Excel and in R.

Data Science 101: Recursive Deep Learning

In the talk below, Recursive Deep Learning for Modeling Compositional and Grounded Meaning, Richard Socher, Founder, MetaMind describes deep learning algorithms that learn representations for language that are useful for solving a variety of complex language tasks.

Data Exploration with Databricks

The “Data Exploration on Databricks” jump start video below will show you how go from data source to visualization in a few easy steps. Specifically, you’ll see how to take semi-structured logs, easily extract and transform them, analyze and visualize the data using Spark SQL, so you can quickly understand your data.

Altiscale Increases Performance and Reliability of Hadoop and Spark Platform with Updated Altiscale Data Cloud

Altiscale, Inc., a leading provider of Big Data-as-a-Service, introduced Altiscale Data Cloud 4.0, featuring major upgrades to core Hadoop components, such as HDFS and YARN, and an expanded Spark-as-a-Service offering that supports all major versions of Apache Spark.

Data Science 101: Deep Learning – Theory and Applications

Deep Learning is a hot topic in statistical learning and many data scientists are seeking a place to start. Here is a presentation from the July 23rd SF Machine Learning Meetup at the Workday Inc. San Francisco office. The featured speaker is Ilya Sutskever.