Operationalizing Machine Learning20171129140000
Optimizing Machine Learning with TensorFlow20171122140120
Python vs C++ for Text Processing20171115140311
Accelerating Your Algorithms: Considerations in Design, Algorithm Choice and Implementation20171102130109
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
Christopher ShoeOctober 17, 2017google, google brain, linear regression, machine learning, predictive analytics, python
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
Pete GarcinAugust 29, 2017ai, github, go, golang, gophercon, machine learning, neuroblast, pycon, pydata, python, qcon
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...
Choosing the Right Programming Language for Your Enterprise20170815130453
Mike KanasootAugust 15, 2017go, golang, java, nodejs, php, programming language, programming language comparison, python, ruby
It’s becoming a common adage that every company is a tech company. As customer expectations have shifted in a “digital-first” world, companies in ever...
Robust Algorithms for Machine Learning20170720141501
Tom RadcliffeJuly 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
Mike KanasootJune 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 ...
Building Game AI Using Machine Learning: Working with TensorFlow, Keras, and the Intel MKL in Python20170525170332
Building Game AI Using Machine Learning: Working with TensorFlow, Keras, and the Intel MKL in Python
Pete GarcinMay 25, 2017activepython, ai, artificial intelligence, intel math kernel library, keras, machine learning, python
Update August 29, 2017: Full source code now available on GitHub – https://github.com/ActiveState/neuroblast. Heading into PyCon, we wanted to put tog...