When you edit files in various formats every day, the universality of your document solution matters a lot. If your tools work for only some of the popular formats, you might find yourself switching between application windows to correct code in PAP and handle other file formats. If you wish to get rid of the headache of document editing, go for a solution that will easily manage any extension.
With DocHub, you do not need to concentrate on anything apart from actual document editing. You will not need to juggle programs to work with diverse formats. It can help you edit your PAP as easily as any other extension. Create PAP documents, edit, and share them in one online editing solution that saves you time and boosts your efficiency. All you have to do is register a free account at DocHub, which takes just a few minutes or so.
You will not have to become an editing multitasker with DocHub. Its functionality is sufficient for speedy document editing, regardless of the format you need to revise. Start by creating a free account to see how easy document management can be with a tool designed particularly for your needs.
hi folks welcome back so today I want to take a look at a paper that keeps alive in me a healthy dose of paranoia about my job as a software engineer getting automated away the last few years have seen a lot of progress in machine learning being applied to programming the actual act of writing code the paper I want to look at today proposes a technique for automatically generating patches of bug fixes to existing code using a machine learning model this work was done by researchers at MIT when I try to understand a machine learning system I try to do it in two parts the first part is to understand how we build the model this is the offline part so we have some training data and we extract some features from this training data and that is what we use to train a model the next part is actually using this model this is where we have data on which we want to perform some sort of a prediction our test data this is what we want to classify or recognize and so on in this case our test data a