MACHINE LEARNING - Towards Data Science
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Machine learning has been around for a long time. It got its start in 1959, when Arthur Samuel wondered if computers could learn the human behaviour instead of being programmed to do specific tasks.
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Machine learning is an important component of the growing field of data science. Through the use of statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights within data mining projects. These insights subsequently drive decision making within applications and businesses, ideally impacting key growth metrics. As big data continues to expand and grow, the market demand for data scientists will increase, requiring them to assist in the identification of the most relevant business questions and subsequently the data to answer them.
The presentation will allow you to develop conceptual clarity towards Machine Learning. In case you have any queries or would like to share your views then please feel free to reach me at: [email protected].
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