Python 3.7: Gains that Eliminate Pains20180802214501
Python 3.7: Gains that Eliminate Pains
August 2, 2018activepython, activepython downloads
In development for 10 months, Python 3.7 has just been released. For long time Python users, it’s a welcome addition, providing many quality of life e...
Machine Learning – The New Cornerstone of Digital Transformation20180502172132
Machine Learning – The New Cornerstone of Digital Transformation
May 2, 2018activepython, ai, artificial intelligence, data science, machine learning, ml
Artificial Intelligence (AI), and more pragmatically, Machine Learning (ML) have been called the new electricity that’s powering the Fourth Indu...
Options for Deploying Machine Learning Algorithms to AWS20180117190038
Options for Deploying Machine Learning Algorithms to AWS
January 17, 2018activepython, Amazon, ami, aws, machine learning, python, SageMaker
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
January 10, 2018activepython, flask, machine learning, python
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
January 3, 2018.NET, activepython, flask, machine learning, python, r
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 ...
Optimizing Machine Learning with TensorFlow20171122140120
Optimizing Machine Learning with TensorFlow
November 22, 2017activepython, intel, intel mkl, machine learning, python
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
November 15, 2017activepython, c/c++, c++, python, python vs c, regex, regexes
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
November 2, 2017activepython, algorithms, data science, optimization, python
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...
Robust Algorithms for Machine Learning20170720141501
Robust Algorithms for Machine Learning
July 20, 2017activepython, data analysis, data science, jupyter notebook, keras, pandas, python, robust algorithms, scipy
Machine learning is often held out as a magical solution to hard problems that will absolve us mere humans from ever having to actually learn anything...
Machine Learning, Intel MKL and Shooting Space Aliens at PyCon 201720170602160007
Machine Learning, Intel MKL and Shooting Space Aliens at PyCon 2017
June 2, 2017activepython, conference, intel, intel mkl, machine learning, neuroblast, pycon, python
One of the best parts of PyCon 2017 was meeting with the amazing folks from the Python community. We had a great three days at the conference and the ...