Modeling human behavior with keystrokes – Sergey Levine

Here’s one way that we can think about it. A language model, we call it a model. Like, that means that it’s modeling something. One question we can ask is, what is it modeling? In some very literal sense, a language model models the key strokes that humans press on keyboards. Because that’s how all […]

TorchRL: The Reinforcement Learning and Control library for PyTorch

Hello everyone, my name is Vincent and I’m developer for Torcharel, the reinforcement learning and control library for PyTorch. So when we started this effort of developing Torcharel, we had a look at the existing ecosystem of our libraries that are using PyTorch. And what we realized is that some of them were heavily focused […]

#10 Machine Learning Specialization [Course 1, Week 1, Lesson 3]

Let’s look in this video at the process of how supervised learning works. Supposed learning algorithm would input a dataset and then what exactly does it do and what does it output that’s find out in this video. Recall that a training set in supervised learning includes both the input features such as the size […]

#7 Machine Learning Specialization [Course 1, Week 1, Lesson 2]

In the last video, you saw what is unsupervised learning and one type of unsupervised learning called clustering. Let’s give a slightly more formal definition of unsupervised learning and take a quick look at some other types of unsupervised learning other than clustering. Whereas in supervised learning, the data comes with both input x and […]

#3 Machine Learning Specialization [Course 1, Week 1, Lesson 2]

So, what is machine learning? In this video, you learn a definition of what it is and also get a sense of when you might want to apply it. Let’s take a look together. Here’s a definition of what is machine learning that is attributed to Arthur Samuel. He defined machine learning as the few […]