Category: 2. Application

Classification is a process of placing each individual from the population under study in many classes. These are identified as independent variables. Classification helps analysts to use measurements of an object to identify the category to which that object belongs. To establish an efficient rule, analysts use data. Data consists of many examples of objects with their correct classification. For example, before a bank… Continue reading Classification

Learning association is the process of developing insights into various associations between products. A good example is how seemingly unrelated products may reveal an association to one another When analyzed in relation to buying behaviors of customers. One application of machine learning- Often studying the association between the products people buy, which is also known as basket analysis. If a buyer buys… Continue reading  Learning Associations

In finance, statistical arbitrage refers to automated trading strategies that are typical of a short-term and involve a large number of securities. In such strategies, the user tries to implement a trading algorithm for a set of securities on the basis of quantities such as historical correlations and general economic variables. These measurements can be cast as a classification or estimation problem. The basic… Continue reading Statistical Arbitrage

ML provides methods, techniques, and tools that can help in solving diagnostic and prognostic problems in a variety of medical domains. It is being used for the analysis of the importance of clinical parameters and of their combinations for prognosis. E.g. prediction of disease progression, for the extraction of medical knowledge for outcomes research, for therapy planning and support, and for overall patient management. ML… Continue reading  Medical Diagnosis

Speech recognition (SR) is the translation of spoken words into text. It is an interdisciplinary subfield of computing and linguistics that develops methodologies and technologies that enable the popularity and translation of speech into text by computers. Speech recognition is employed to spot words in speech. Voice recognition may be a biometric technology wont to identify a specific individual’s voice or for talker identification. It is also known as “automatic… Continue reading Speech Recognition

It is one of the most common machine learning applications.There are many situations where you can classify the object as a digital image. For digital images, the measurements describe the outputs of each pixel in the image. In the case of a black and white image, the intensity of each pixel serves as one measurement. So if a black and white image… Continue reading Image Recognition