Читать книгу Machine Learning For Dummies - John Paul Mueller, John Mueller Paul, Luca Massaron - Страница 37

Your organization has data hidden in all sorts of places. The problem is in recognizing the data as data. For example, you may have sensors on an assembly line that track how products move through the assembly process and ensure that the assembly line remains efficient. Those same sensors can potentially feed information into a machine learning scenario because they could provide inputs on how product movement affects customer satisfaction or the price you pay for postage. The idea is to discover how to create mashups that present existing data as a new kind of data that lets you do more to make your organization work well.

Big data can come from any source, even your email. The article at https://www.semrush.com/blog/deep-learning-an-upcoming-gmail-feature-that-will-answer-your-emails-for-you/ discusses how Google uses your email to create a list of potential responses for new emails. You can read about the process involved for the user at https://www.lifewire.com/how-to-send-canned-replies-automatically-in-gmail-1172080. Instead of having to respond to every email individually, you can simply select a canned response at the bottom of the page. This sort of automation isn’t possible without the original email data source. Looking for big data in specific locations will blind you to the big data sitting in common places that most people don’t think about as data sources. Tomorrow’s applications will rely on these alternative data sources, but to create these applications, you must begin seeing the data hidden in plain view today.

Some of these applications already exist, and you’re completely unaware of them. The video at https://research.microsoft.com/apps/video/default.aspx?id=256288 makes the presence of these kinds of applications more apparent. By the time you complete the video, you begin to understand that many uses of machine learning are already in place and users already take them for granted (or have no idea that the application is even present). Many developers see the quest toward an ultimate machine learning experience as the master algorithm, which is the topic of a book entitled The Master Algorithm, by Pedro Domingos (https://www.amazon.com/exec/obidos/ASIN/0465094279/datacservip0f-20/).