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

practitioners today is The jupyter Notebook this is the default environment that a lot of us use to code up an experiment and try things out and so in this class right here in your web browser you'll be able to use a jupyter notebook environment to test out some of these ideas for yourself as well this is not some made up simplified you know environment this is the exact same environments the exact same tool the Jupiter notebook that developers are using in many large companies right now one type of lab that you see throughout this class are optional Labs which are once you can open and run one line at a time with usually not needing to write any code yourself so optional labs are designed to be very easy and I can guarantee you will get four miles for every single one of them because there are no amounts all you need to do is open it up and just run the code we've provided and by reading through and running the code in the optional Labs you see how machine learning code runs and you should be able to complete them you know relatively quickly just by running it one line at a time from top to bottom optional labs are completely optional so you don't have to do them at all if you don't want to bu but I hope you will take a look because running through them will give you a deeper feel give you a little bit more experience with what's machine learning algorithms what machine learning code actually looks like starting next week there'll also be some practice Labs which will give you an opportunity to write some of that codes yourself but we'll get to that next week so don't worry about it for now and I hope you just go through the next optional lab and get through the rest of the content for this week so let's take a look at an example of a notebook