Machine Learning :-
Machine learning is an important subset of Artificial Intelligence (AI) that enables computers to learn about and make predictions or decisions based on data without actually programming on it. It encompasses supervised learning, where the model learns about the labeled data; unsupervised learning, where the pattern is found using unlabeled data; and reinforcement learning, where it learns through some feedback in the interactive environment. ML is widely used in various applications, for example, recommendation systems, image identification, fraud identification, and even natural language processing to transform industries.
Data Science :-
In simple terms, data science combines domain expertise, programming skills and knowledge of math and statistics to extract powerful and actionable insights from data. It helps answer critical business questions and enables data-driven decision making across industries.
The future of data science is set for an exciting transformation, underpinned by rapid technological advancements. This article explores the key data science trends that will reshape data science in the coming years.
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