Tools Archives

Deep Learning with TensorFlow 2.0

Blogs from ODSC Speakers Conferences Deep Learning Tools TensorFlow West 2019posted by Jon Krohn September 6, 2019

Editor’s Note: See Jon’s talk “Deep Learning with TensorFlow 2.0” at ODSC West 2019. This summer, I had a blast speaking at Immersive A.I.—the first annual Open Data Science Conference (ODSC) event in New York. The venue was flawless, the organizers were exceptionally well-prepared, and there... Read more

Google Dataset Search Launched to Help Analysts Scour Repositories

Tools Googleposted by Diego Arenas, ODSC October 18, 2018

Google Dataset Search is a new product in the beta phase that you can use to find datasets published online. The single interface allows you to search repositories worldwide. Imagine you start a new analytics project. For example, let’s say you want to explore numbers pertaining to Boston... Read more

K-Means Clustering Applied to GIS Data

Tools Clustering Machine Learningposted by Spencer Norris, ODSC October 11, 2018

Here, we use k-means clustering with GIS Data. GIS can be intimidating to data scientists who haven’t tried it before, especially when it comes to analytics. On its face, mapmaking seems like a huge undertaking. Plus esoteric lingo and strange datafile encodings can create a significant... Read more

Understanding the Hoeffding Inequality

Tools Tools & Languagesposted by Spencer Norris, ODSC September 20, 2018

If you read my last post on mathematically defining machine learning problems, then you’ll be familiar with the terminology here. Otherwise, I recommend you read that and then circle back here. We’ll work our way up to understanding the Hoeffding Bound over a few posts. However,... Read more

A Short Summary of Smoothing Algorithms

Tools Tools & Languages smoothing algorithmposted by Brandon Dey, ODSC August 30, 2018

When data are noisy, it’s our job as data scientists to listen for signals so we can relay it to someone who can decide how to act. To amp up how loudly hidden signals speak over the noise of big and/or volatile data, we can deploy... Read more

Machine Learning Approaches to Mobile Sensing Data to Make Self-Driving Cars Safer

Conferences Tools Tools & Languages odsc east 2018posted by Alex Amari August 27, 2018

Key Takeaways: Mobile sensing data from IoT devices have created opportunities for data scientists to better understand how we drive. Accelerometry and GPS data, for example, can be used to determine vehicular heading, acceleration, speed, climb, and other aspects of its motion. Machine learning and other... Read more

Spark and The Art of Data Science

R Tools Tools & Languages Apache Sparkposted by Diego Arenas, ODSC August 21, 2018

Apache Spark, or simply “Spark,” is a highly distributed, fault-tolerant, scalable framework that processes massive amounts of data. As it processes data, Spark abstracts the distribution of the data computations via a machine cluster thus enabling you to create applications using Java, Scala, Python, R, and... Read more

Survey Analysis in SQL and R

Tools Tools & Languages Workflowposted by Thomas Lumley July 5, 2018

Charco Hui, as his Honours project in Statistics, has been writing a package for complex-survey analysis using dplyr and dbplyr. It’s here. At the moment it has only been tested with MonetDB, using the github version (0.5.2) of MonetDBlite, but it should work with many other databases (not SQLite, at the... Read more

Perl as Better grep

Tools Tools & Languagesposted by John Cook July 2, 2018

I like Perl’s pattern matching features more than Perl as a programming language. I’d like to take advantage of the former without having to go any deeper than necessary into the latter. The book Minimal Perl is useful in this regard. It has chapters on Perl as a... Read more