Overview – Microsoft’s ML & AI tools, Philly.NET code camp
This weekend I have the opportunity to speak at Philly.NET’s bi-annual code camp at the Malvern (Philadelphia region) Microsoft office.
The Team Data Science Process With Python
I’m in Las Vegas this week for Ready and Inspire, Microsoft’s internal / external conference, and have been teaching colleagues how to create their own ML / DL models and deploy them to the cloud for customers to consume. The AI team at Microsoft has also done a great job of putting together resources for…
Docker container running a flask web server for image classification using Scikit-Learn
I just returned from one of Microsoft’s Open Hack events in Toronto, where we coded alongside engineers from several other companies across the region. Link to the GitHub repository One of the challenges required that we’d be able to deploy a trained model to Azure, which would expose an HTTP endpoint. From there, we’d be…
Knowledge Dump: Machine Learning Scoring & Evaluation Metrics
I’ve decided to start a small series of knowledge dumps, where I post my notes from study sessions I have in my free time. Below you’ll find my thought process when learning new information, particularly around machine learning. I find myself asking the same questions over and over, so I write my answers down. Let…
Getting started with data science and machine learning in Python
Useful libraries for data visualization Great overview / comparison of these libraries, at pbpython.com. There are so many libraries and frameworks used in Python for data analysis that I had to take a step back and illustrate how they were laid out. PyDataSet Provides instant access to many datasets right from Python (in pandas DataFrame…
Facebook and Microsoft introduce new open ecosystem for interchangeable AI frameworks
Facebook and Microsoft are today introducing Open Neural Network Exchange (ONNX) format, a standard for representing deep learning models that enables models to be transferred between frameworks. ONNX is the first step toward an open ecosystem where AI developers can easily move between state-of-the-art tools and choose the combination that is best for them. ———————–…
I’ll be hosting workshops at DataSciCon.Tech in ATL
I’ll be hosting several workshops at DataSciCon.Tech in Atlanta on November 30th – Dec 1st. These include: Intro to Python Fundamentals of data science with Python Sentiment Analysis with Twitter and we’ll finish the week with a ML hackfest using all of these tools. If you are interested in getting started with any of these…
A brief overview of Deep Learning
I’m putting together an outline for a presentation I’m giving to NVIDIA soon, as part of the certification process for their Deep Learning Institute. I plan on breaking this into a 5 minute talk, as well as a 30 minute session, to give developers a high-level overview of Deep Learning. Intro to deep learning from…
Resources for Machine Learning
In the last few months I’ve really immersed myself in the world of deep learning. I’ve always had a huge interest in GPUs through my work with gaming, but now that Machine Learning has really taken advantage of the increased horsepower offered by a GPU, I thought it would be a good time to learn…