The Language of Machines

Machine language computer is a language machine. In other words, language processing is a valuable metaphor for understanding computer computing, basically computing computing is language processing, not more than that. The language to understand when modern computers first go offline is very simple. The alphabet of this language consists of two letters 0 and 1 (or a and b, or two other letters, irrelevant) that are internally stored as two electrical signal strengths (high or low) I will.

Natural language processing (NLP) is a field of computer science that deals with machine understanding of languages. Not all types of NLP are using machine learning. For example, if you generate a "tag cloud" (a visual representation of the number of times a word appears in text), no learning takes place. More complicated analysis and understanding of language and text often requires ML. Some examples: A minor change in the problem definition means that a completely different algorithm is required to solve it, or at least it is necessary to use different data inputs to build different models maybe. Reservation sites that want to identify the type of photos suitable for the user can identify useful general topics using unsupervised learning techniques (such as clustering). If the problem recommends a potential date for specific people Individual users such as photos that they have already seen

AI chatbot uses machine learning in combination with so-called natural language processing. Machine learning analyzes input data and uses a special algorithm to identify patterns in the data. The more input data you have, the more patterns you can recognize, the smarter it is. Natural language processing converts human speech into a form that the computer can understand, analyze and return to human understandable answers. By combining these two sciences, Google can analyze half of the phrases entered in the search bar and make suggestions on what that person searches.