Know About Data Science and Machine Learning Service Industry
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from a wide range of structural and unstructured data. Data science refers to data mining, machine learning, and big data.
Data Science is a "concept for the standardization of statistics, data analysis and the associated methods" in order to "understand and analyze actual phenomena". It uses techniques and theories from many fields in the context of math, statistics, computer science, domain knowledge, and information science. Turing Prize winner Jim Gray envisioned data science as the "fourth paradigm" of science (empirical, theoretical, computational, and now data-driven), claiming that "everything about science changes because of the effects of information technology" and the deluge of data.
Machine learning (ML) is the study of computer algorithms that automatically improve through experience. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data called "training data" to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or impossible to develop traditional algorithms to perform the required tasks.
Machine learning is closely related to computer statistics, which focuses on making predictions using computers. The study of mathematical optimization provides methods, theory and areas of application in the field of machine learning. Data mining is a related research area that focuses on exploratory data analysis through unsupervised learning. When applied to business problems, machine learning is also known as predictive analytics.
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