Surely you have heard of clustering as a way to help organising data into different groups depending on the features at hand. Clustering algorithms are part of unsupervised machine learning. In my post in the Domino Data Science Blog I cover the basics of K-means, take a look and you can even get to play with some code by trying the Domino platform. What is not to like‽ You can also take a look at my Data Science and Analytics with Python books (here and here) for more information.

Surely you have heard of many fantastic applications where Deep Learning is being employed. There are a few options for us to implement deep learning methods: TensorFlow, PyTorch, Caffe Keras and MXNet.

Whether you are a Machine Learning enthusiast, or a Data Science ninja training models for all sorts of applications, you may have heard of the need to use graphical processing units (GPUs) for machine learning and Artificial Intelligence To learn more about their use and some historical context look at…

Very interesting read and thanks for the shout to one of my books. These days apart from the Matlab text mentioned there are a couple specifically about data science with Python. http://bit.ly/DataSciencePython http://bitly.com/AdvancedDataScience