Classes of Predictive Analytics


This article is the third in an editorial series that will review how predictive analytics helps your organization predict with confidence what will happen next so that you can make smarter decisions and improve business outcomes..  It is important to adopt a predictive analytics solution that meets the specific needs of different users and skill sets from beginners, […]

Business Uses of Predictive Analytics


The need for predictive analytics in the enterprise is clear, as it can provide smarter analysis for better decision making, increased market competitiveness, a direct path in taking advantage of market opportunity and threats, a way to reduce uncertainty and manage risk, an approach to proactively plan and act, discovery of meaningful patterns, and the means to anticipate and react to emerging trends.

NVIDIA “Drop-In” Software Simplifies Acceleration of Deep Learning Applications


NVIDIA has introduced easily deployable software that helps developers harness the power of GPU acceleration for groundbreaking deep learning applications in areas such as image classification, video analytics, speech recognition and natural language processing.

Data Science 101: Parallel Iterative Deep Learning on Hadoop’s Next​-Gen YARN


Presented at the recent O’Reilly OSCON – Open Source Convention 2014 by Josh Patterson (Patterson Consulting) and Adam Gibson ( is “Introduction to Parallel Iterative Deep Learning on Hadoop’s Next​-Generation YARN Framework.”

Data Science 101: An Interview with Hadley Wickham


RStudio’s Chief Scientist Hadley Wickman was interviewed by DataScience.LA’s Eduardo Arino de la Rubia during the useR!2014 conference at UCLA this past July.

Nervana Systems Secures $3.3M in Series A Financing

Nervana Systems logo

Nervana Systems, Inc., has announced $3.3M in Series A financing led by DFJ. Steve Jurvetson, DFJ Partner, who currently serves on the boards of Tesla Motors, SpaceX, D-Wave and Synthetic Genomics, will join Nervana’s Board of Directors.

Sibyl: A System for Large Scale Machine Learning at Google


Sibyl is an important research project underway at Google that implements machine learning primitives at scale and is widely used within Google. Large scale machine learning is playing an increasingly important role in improving the quality and monetization of Internet properties.

Data Science 101: SparkR – Interactive R Programs at Scale

R + RDD = R2D2

R is a widely used statistical programming language but its interactive use is typically limited to a single machine. To enable large scale data analysis from R, SparkR was announced earlier this year in a blog post. SparkR is an open source R package developed at U.C. Berkeley AMPLab that allows data scientists to analyze large data sets and interactively run jobs on them from the R shell.

Project Adam: a New Deep-Learning System


Project Adam is a new deep-learning system modeled after the human brain that has greater image classification accuracy and is 50 times faster than other systems in the industry. Project Adam is an initiative by Microsoft researchers and engineers that aims to demonstrate that large-scale, commodity distributed systems can train huge deep neural networks effectively.

The Putnam Mathematical Competition’s Unsolved Problem


As a data scientist with my roots in the theoretical foundations of the field, I’m always looking for ways to challenge myself and pick up a new mathematical apparatus that could help me in my project work.