Machine Learning

Deep Learning From A to Z

From the Basics of Machine Learning to Understanding TensorFlow Internals with Raphael Gontijo Lopes.. Machine Learning Data has high-level features Some of those features are called labels You can extract those features and labels from data using classifiers Machine Learning is how computers learn to do this (train classifiers) Supervised Learning is ML where you learn from labeled data Neural Networks Data is composed of attributes Labels can be extracted

Deploying Machine Learning Applications in the Enterprise: Peter Norvig

Peter Norvig is talking about Deploying machine learning applications in the Enterprise. Director of Research at Google Inc., Peter Norvig is a reference in terms of Machine Learning. He’s always looking at the world to re-build it, playing with programs and applications that nowadays have a dominant role in our world. “The world is made of lines” and we can draw anything with it, manually or numerically.  More companies are

Three Ways Machine Learning Shapes Customer Experience

When it comes to customer experience, most machines just aren’t very smart. Every day, customers around the world are suggested products to buy or use that have little or no application to their lives and for which they aren’t a customer. It is frustrating to get recommendations for items you would never actually purchase. Blake Morgan is the author of “More Is More: How The Best Companies Work Harder And

Introduction to Deep Learning and Self-Driving Cars from MIT

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

What is Machine Learning?

The goals of AI is to create a machine which can mimic a human mind and to do that it needs learning capabilities. But how does machine learning work? Technically speaking, machine learning is all about testing, testing, testing. It starts with training data and then it applies predictions to what you might like. When you make a predicted selection, your answer is so noted. Machine learning is a subfield

Whoever Controls Machine Learning Controls the Future

Pedro Domingos speaks on the future of the Information Age. Machine learning not only affects computers, but it will also change our lives. Pedro asks “what will the ultimate learning algorithm look like?” and discusses how future technology will change how we model many parts of our lives. How does Google the site which search results to show you? How does Amazon choose which products to recommend? How those Netflix