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Using Keras and TensorFlow in R
Keras and Tensorflow are two very powerful packages that are normally accessed via python. Since the packages were developed for python they may have the illusion of being out of reach for R users. However, this is not the case as the Keras and Tensorflow packages may be set... Read more
Deep Learning in R with Keras
The primary professional hat I wear is as a data science consultant working with machine learning in a variety of problem domains. Due to my academic past in computer science and applied statistics, my development environment of choice today is typically R. Lately however, Python is taking the lead... Read more
Want to Train Computer Vision Models 100x Faster? Meet MissingLink.ai
To stay competitive, large and small organizations are turning to deep learning and AI for faster innovation. They strive to create value, improve customer experience and ship faster to differentiate themselves from the competition, so they place tremendous pressure and demands on their data science teams to deliver fast.... Read more
2018 Major Updates to the Most Popular Data Science Frameworks
New data science projects, tools, and frameworks are popping up at a hectic pace.  However, most of us are already using many of the major and most popular ones. Read on and check out major releases of some of the most popular frameworks you may have missed in 2018. PyTorch:... Read more
Getting to Know Keras for New Data Scientists
For many new data scientists transitioning into AI and deep learning, the Keras framework is an efficient tool. Keras is a powerful and easy-to-use Python library for developing and evaluating deep learning models. In this article, we’ll lay out the welcome mat to the framework. You should walk away with... Read more