Through Machine Learning, computers are capable of learning without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across. As it is evident from the name, humans get the ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect.
Components in Machine Learning:
Data: It can be any unprocessed fact, value, text, sound or picture that is not being interpreted and analyzed. Data is the core part of all Data Analytics, Machine Learning, Artificial Intelligence. Without data, we cant train any model and all modern research and automation will go vain. Big Enterprises are spending loads of money just to gather as much certain data as possible.
Example: Why did Facebook acquire WhatsApp by paying a huge price of $19 billion?
The answer is very simple and logical it is to have access to the user's information that Facebook may not have but WhatsApp will have. This information of their users is of paramount importance to Facebook as it will facilitate the task of improvement in their services.
Information: Data that has been interpreted and manipulated and has now some meaningful inference for the users.
Knowledge: Combination of inferred information, experiences, learning and insights. Results in awareness or concept building for an individual or organization.
Machine Learning in Education: Machine Learning in education handles various jobs which were hectic to maintain previously. Machine Learning to be used to provide various information related to education syllabus i.e. what part of portion keeps important and must be taught to students and what must be emitted. Also nowadays colleges are using this technique to maintain student database and provide them various features based on their personal database.
Machine Learning in Search Engine: Various search engines use Machine Learning to collect information about user activity so that they can suggest users about various topics according to their relevance. Implementing these Google has introduced some amazing services. Such as voice recognition, image search and many more.
Machine Learning in Digital Marketing: Machine Learning is a future of Digital Marketing. ML tools have the ability to analyze extremely large sets of data and present understandable analytics that marketing teams can use to their advantage. Using this technique we can predict the requirement of a customer by analyzing their previous activities and then suggesting them new products. These techniques are used by various e-commerce companies such as Flipkart, Amazon, etc.
Machine Learning in Health Care: We use Machine Learning in Health Care to increase diagnostic accuracy. By learning from the previous case we develop a system which can perform diagnosis more effectively. Also, we use this technique to identify at-risk patients by learning behavior and pattern of particular disease which can be a lifesaver.