Options for Deploying Machine Learning Algorithms to AWS20180117190038

Options for Deploying Machine Learning Algorithms to AWS

Christopher ShoeJanuary 17, 2018, , , , , ,
AWS is a great place for accessing scalable, cheap resources on which to deploy data models. However, actually using AWS for this purpose can be chall...
Poodle, Pug or Weiner Dog? Deploying a Dog Identification TensorFlow Model Using Python and Flask20180110210017

Poodle, Pug or Weiner Dog? Deploying a Dog Identification TensorFlow Model Using Python and Flask

Pete GarcinJanuary 10, 2018, , ,
In my last post I surveyed the growing array of options for deploying your ML models into production. In this post, we’ll create a demo to see how sim...
How to Deploy Machine Learning Models to a .NET Environment20180103150000

How to Deploy Machine Learning Models to a .NET Environment

Christopher ShoeJanuary 3, 2018, , , , ,
Python and R are among the most popular programming languages for data-centric engineers. However, they are not always the languages that the rest of ...
How to Get Hadoop Data into a Python Model20171220080700

How to Get Hadoop Data into a Python Model

Christopher ShoeDecember 20, 2017, , ,
Hadoop is an open-source software framework for distributed storage and distributed processing of very large data sets. All the modules in Hadoop are ...
Operationalizing Machine Learning20171129140000

Operationalizing Machine Learning

Pete GarcinNovember 29, 2017, , , , ,
Machine Learning (ML) powers an increasing number of the applications and services that we use daily. For organizations who are beginning to leverage ...
Optimizing Machine Learning with TensorFlow20171122140120

Optimizing Machine Learning with TensorFlow

Pete GarcinNovember 22, 2017, , , ,
In our webinar “Optimizing Machine Learning with TensorFlow” we gave an overview of some of the impressive optimizations Intel has made to TensorFlow ...
Python vs C++ for Text Processing20171115140311

Python vs C++ for Text Processing

Tom RadcliffeNovember 15, 2017, , , , , ,
Text will always be a major format for data and it will never be well-organized. According to Phil Karlton’s famous joke, the two hard problems in com...
Accelerating Your Algorithms: Considerations in Design, Algorithm Choice and Implementation20171102130109

Accelerating Your Algorithms: Considerations in Design, Algorithm Choice and Implementation

Tom RadcliffeNovember 2, 2017, , , ,
The pursuit of speed is one of the few constants in computing, and it is driven by two things: ever-increasing amounts of data, and limited hardware r...
Using TensorFlow for Predictive Analytics with Linear Regression20171017130209

Using TensorFlow for Predictive Analytics with Linear Regression

Since its release in 2015 by the Google Brain team, TensorFlow has been a driving force in conversations centered on artificial intelligence...
NeuroBlast: ActiveState’s TensorFlow Powered Game Now Available on GitHub20170829130229

NeuroBlast: ActiveState’s TensorFlow Powered Game Now Available on GitHub

If you visited the ActiveState booth at PyCon, QCon, GopherCon or PyData Seattle, you may have had a chance to play NeuroBlast – a simple arcade...