Supervised learning is one of the most popular and fundamental techniques in machine learning. It involves training a model using labelled data to predict new, unseen data outcomes. If you’re new to machine learning, the concept of supervised learning can seem daunting.
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In the modern world of technology, the terms machine learning (ML) and artificial intelligence (AI) are often used interchangeably. However, a significant difference between the two needs to be more understood. In simple terms, machine learning is a subset of artificial intelligence, but the distinction between the two is crucial.
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Data science has been an essential part of industries for years, enabling businesses to analyze and interpret vast amounts of data to make informed decisions. However, with the introduction of artificial intelligence (AI), data science is evolving rapidly.
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The latest trends and advancements in AI research are transforming every industry, from self-driving cars to medical diagnosis and fraud detection.
Natural Language Processing is a branch of Artificial Intelligence focusing on the interaction between computers and humans using natural language. NLP involves the processing and analysis of natural language data, including speech and text, to produce valuable insights and actions.
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