Machine learning (ML) and artificial intelligence (AI) are cutting-edge technologies that enable computers to learn and adapt from data without being explicitly programmed. ML algorithms allow machines to identify patterns and make predictions or decisions based on input data. AI, on the other hand, encompasses a broader range of capabilities, including reasoning, problem-solving, perception, and language understanding.
In essence, ML is a subset of AI, focusing on algorithms that learn from data, while AI encompasses the broader concept of creating machines or systems that can perform tasks that would typically require human intelligence. These technologies have vast applications across various industries, including healthcare, finance, automotive, and more, revolutionizing processes and creating new opportunities for innovation and efficiency. However, they also raise important ethical and societal questions regarding privacy, bias, and the future of work.
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Introduction to Machine Learning and AI for IT
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