AI and Machine Learning have already stormed the industry with interesting use cases. By the time we realized the immense uses for machine learning, we are hearing about deep learning. So, what is deep learning? Is it just more advanced machine learning or something else? Deep learning is a subset of Machine Learning that mimes the working of a human brain using neurons. With Deep Learning the focus is on building Artificial Neural Networks (ANN) using several hidden layers.

Guest blog post by Christopher Dole and other contributors, originally posted here. Deep Learning is one of the most revolutionary and disruptive technologies ever developed in Data Science. Essentially, this is a class of algorithms inspired by how the human brain works, and it has the ability to automate and replace most of the world's jobs. This is what enables self-driving cars to function and what allows Spotify to create very customized playlists and recommendations. This is how YouTube is able to identify faces and animals in videos and how Siri can understand and process free speech in milliseconds.

Guest blog post by Christopher Dole and other contributors, originally posted here. Deep Learning is one of the most revolutionary and disruptive technologies ever developed in Data Science. Essentially, this is a class of algorithms inspired by how the human brain works, and it has the ability to automate and replace most of the world's jobs. This is what enables self-driving cars to function and what allows Spotify to create very customized playlists and recommendations. This is how YouTube is able to identify faces and animals in videos and how Siri can understand and process free speech in milliseconds.

Guest blog post by Christopher Dole and other contributors, originally posted here. Deep Learning is one of the most revolutionary and disruptive technologies ever developed in Data Science. Essentially, this is a class of algorithms inspired by how the human brain works, and it has the ability to automate and replace most of the world's jobs. This is what enables self-driving cars to function and what allows Spotify to create very customized playlists and recommendations. This is how YouTube is able to identify faces and animals in videos and how Siri can understand and process free speech in milliseconds.

Guest blog post by Christopher Dole and other contributors, originally posted here. Deep Learning is one of the most revolutionary and disruptive technologies ever developed in Data Science. Essentially, this is a class of algorithms inspired by how the human brain works, and it has the ability to automate and replace most of the world's jobs. This is what enables self-driving cars to function and what allows Spotify to create very customized playlists and recommendations. This is how YouTube is able to identify faces and animals in videos and how Siri can understand and process free speech in milliseconds.

Deep Learning is one of the most revolutionary and disruptive technologies ever developed in Data Science. Essentially, this is a class of algorithms inspired by how the human brain works, and it has the ability to automate and replace most of the world's jobs. This is what enables self-driving cars to function and what allows Spotify to create very customized playlists and recommendations. This is how YouTube is able to identify faces and animals in videos and how Siri can understand and process free speech in milliseconds. Deep Learning has also led to several recent advancements in healthcare.

This year has been a good one for robots in the epic battle of Man vs. Machine. It's been decades since the first computer beat a chess champion, but the ancient Chinese game of Go -- which supposedly has more possible moves than there are atoms in the universe -- had always escaped the robot's grasp. At least until Google's AlphaGo took four out of five games against the reigning human world champion. Well, basically it taught itself. Google's DeepMind artificial intelligence subsidiary spent the last two years developing this database of 100,000 human-played rounds of Go which it fed into AlphaGo which then played against itself millions of times, using machine learning and neural networks to improve until it was finally the victor. But then when you take that machine learning and artificial intelligence to the next level of deep learning, well, your neurons take a hit.

John Platt of Microsoft Research discusses deep learning and what makes it different from other types of machine learning. The full interview can be found at: http://youtu.be/2SXZ-NsKfwg