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Machine Learning

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Kumar P

Machine learning helps predict behavior and recognize patterns that humans cannot by learning from data without relying on programmed rules. It is an algorithmic approach that differs from statistical modeling which formalizes relationships through mathematical equations. Machine learning is a part of the broader field of artificial intelligence which aims to develop systems that can act and respond intelligently like humans. The machine learning workflow involves collecting and preprocessing data, selecting algorithms, training models, and evaluating performance. Common machine learning algorithms include supervised learning, unsupervised learning, reinforcement learning, and deep learning. Popular tools for machine learning include Python, R, TensorFlow, and Spark.

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Machine Learning
ML : Why • It helps in predicting behaviour and recognising patterns that humans with their limited capacity can not predict
Machine Learning
Statistical Analysis Vs ML Vs AI Vs Data Mining
Machine Learning is … an algorithm that can learn from data without relying on rules-based programming. Statistical Modelling is … formalization of relationships between variables in the form of mathematical equations. Artificial Intelligence is… a science to develop a system or software to mimic human to respond and behave in a circumference.
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  • 2. ML : Why • It helps in predicting behaviour and recognising patterns that humans with their limited capacity can not predict
  • 4. Statistical Analysis Vs ML Vs AI Vs Data Mining
  • 5. Machine Learning is … an algorithm that can learn from data without relying on rules-based programming. Statistical Modelling is … formalization of relationships between variables in the form of mathematical equations. Artificial Intelligence is… a science to develop a system or software to mimic human to respond and behave in a circumference.