Data Science Platforms: Guides, Tutorials,, and How to Pick the Best One

TensorFlow Clusters: Questions and Code

Deep Learning Modeling Platforms Tools & Languagesposted by Aaron Schumacher April 23, 2017

One way to think about TensorFlow is as a framework for distributed computing. I’ve suggested that TensorFlow is a distributed virtual machine. As such, it offers a lot of flexibility. TensorFlow also suggests some conventions that make writing programs for distributed computation tractable. When is there... Read more

Technical preview: Native GPU programming with CUDAnative.jl

Platforms Tools & Languages Juliaposted by Tim Besard April 20, 2017

After 2 years of slow but steady development, we would like to announce the first preview release of native GPU programming capabilities for Julia. You can now write your CUDA kernels in Julia, albeit with some restrictions, making it possible to use Julia’s high-level language features... Read more

Faster deep learning with GPUs and Theano

Deep Learning Modeling Platforms Tools Tools & Languages Convolutional Neural Networks|Deep Learning|Python|Theanoposted by Domino Data Lab April 8, 2017

Originally posted by Manojit Nandi, Data Scientist at STEALTHbits Technologies on the Domino data science blog Domino recently added support for GPU instances. To celebrate this release, I will show you how to: Configure the Python library Theano to use the GPU for computation. Build and... Read more

Intro to Caret: Pre-Processing

Platforms Tools & Languages Intro|Rposted by Max Kuhn March 27, 2017

Editor’s note: This is the third of a series of posts on the caret package. Creating Dummy Variables Zero- and Near Zero-Variance Predictors Identifying Correlated Predictors Linear Dependencies The preProcess Function Centering and Scaling Imputation Transforming Predictors Putting It All Together Class Distance Calculations caret includes several... Read more

Implementing a CNN for Text Classification in Tensorflow

Modeling NLP/Text Analytics Platforms Tools & Languagesposted by megan@odsc.com January 7, 2017

The full code is available on Github. In this post we will implement a model similar to Kim Yoon’s Convolutional Neural Networks for Sentence Classification. The model presented in the paper achieves good classification performance across a range of text classification tasks (like Sentiment Analysis) and... Read more

Google SyntaxNet

Blog NLP/Text Analytics Platforms Tools Natural Language Processingposted by Gordon Fleetwood June 21, 2016

Google’s TensorFlow framework spread like wildfire upon its release. The slew of tutorials and extensions made an already robust ecosystem even more so. Recently, Google released one of their own extensions. It’s called SyntaxNet, a TensorFlow based syntactic parser for Natural Language Understanding. SyntaxNet uses neural... Read more

Jupyter, Zeppelin, Beaker: The Rise of the Notebooks

Platforms Tools Tools & Languagesposted by ODSC Team December 3, 2015

Standard software development practices for web, Saas, and industrial environments tend to focus on maintainability, code quality, robustness, and performance. Scientific programing in data science is more concerned with exploration, experimentation, making demos, collaborating, and sharing results. It is this very need for experiments, explorations, and... Read more