Machine Learning with Apple – An Open Notebook

We all know how cool machine learning, predictive analytics and data science concepts and problems are. There are a number of really interesting technologies and frameworks to use and choose from. I have been a Python and R user for some time now and they seem to be pretty good for a lot of the things I have to do on a day-to-day basis.

As many of you know, I am also a mac user and have been for quite a lot time. I remember using early versions of Mathematica on PowerMacs back at Uni… I digress..

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Apple has also been moving into the machine learning arena and has made available a few interesting goodies that help people like me make the most of the models we develop.

I am starting a series of posts that I hope can be seen as an “open notebook” of my experimentation and learning with Apple technology. One that comes to mind is CoreML, a new framework that makes running various machine learning and statistical models on macOS and iOS natively supported. The idea is that the framework helps data scientists and developers bridge the gap between them by integrating trained models into our apps. Sounds cool, don’t you think? Ready… Let’s go!

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