Neural Networks for Machine Learning from University of Toronto. Learn about artificial neural networks and how they're being used for machine ... (more…)

Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they're like optical illusions for machines. In this post we'll show how adversarial examples work across differen... (more…)

Clustering is the process of dividing a set of random data points into a fixed number of clusters. Clusters can be imagined as the set of similar data. Consider the set of random data points given … (more…)

Apache Spark has rapidly become one of the most exciting technologies for big data analytics and machine learning. Spark is a general data processing engine created for use in clustered computing environments. Its heart is the Resilient Distributed Datase... (more…)

Posted by Nikhil Thorat and Daniel Smilkov, Software Engineers, Google Big Picture Team Machine learning (ML) has become an increasingly p... (more…)