Building A Great Data Lake (or How to Avoid a Data Swamp)
What is a Data Lake?A Data Lake is a term that gets thrown around a fair amount, often in conjunction with big data. But what does it really mean?At its core, its a central repository for storing unlimited amounts of data from many different sources that you can bring analytics to bear on top of to gain insights.
Blockchain Explained Simply
Blockchain technology is all the rage these days. You hear about it more and more yet what does it really do and how can you use it?
Demystifying The Ways to Use R in the Microsoft Ecosystem
In 2015, Microsoft acquired Revolution Analytics. Microsoft R was a rebranding of Revolution R. Since the R landscape at Microsoft can be a bit confusing I want to try to lay it out simply. First, Microsoft R Server has been rebranded to Microsoft Machine Learning Server. At the time of writing, ML Server 9.2 was available.So, what are the different ways to use R from Microsoft?
Getting Started with Deep Learning
I have recently started to work on a set of introductory videos focusing on deep learning and neural networks. The goal of these videos is to explain some of the basic concepts behind various types of neural networks and then give you a hands-on example to show you how you can build your own neural network. I showcase a variety of frameworks such as Keras, CNTK and Tensorflow. I also use a variety of tools from Jupyter Notebooks through to Azure Machine Learning Workbench. I will continue to add more videos over time. You can check out the full collection here.
CNTK and Keras in Azure Notebooks
Being doing some work with Keras recently, which is a fantastic platform for making it simple to build out neural networks. Even better, it abstracts the underlying framework and allows you to use the one of your choice such as Tensorflow or CNTK without having to change your Keras code. With a simple config change you can switch the backend.