Document editing comes as an element of many professions and careers, which is why tools for it should be accessible and unambiguous in terms of their use. An advanced online editor can spare you a lot of headaches and save a substantial amount of time if you want to Feature columns diploma.
DocHub is an excellent illustration of a tool you can master very quickly with all the important features accessible. You can start editing instantly after creating an account. The user-friendly interface of the editor will enable you to find and utilize any feature right away. Experience the difference using the DocHub editor the moment you open it to Feature columns diploma.
Being an integral part of workflows, file editing must remain easy. Utilizing DocHub, you can quickly find your way around the editor making the necessary changes to your document without a minute wasted.
[MUSIC PLAYING] JOSH GORDON: Hey, everyone. Welcome back. Features are the way you represent your knowledge about the world for the classifier, and today Ill walk you through techniques you can use to represent your features and utilities TensorFlow provides to help. You use a dataset from the US census as an example, and the goal is to predict if someones income is greater than $50,000 based on attributes like their age and occupation. The dataset is stored as a CSV file, and previously weve seen how to use the column values directly as features. But today well use feature engineering to transform them into a more useful representation. As we go, Ill visualize what these transformations do using a tool called Facets, and you can find a link to it in the description. Youll also find complete code to train a TensorFlow estimator on this dataset. OK, lets get started. Lets begin with a numeric attribute like age, and think about how we can use it to predict income. Now if you th