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Machine Learning (ML) is a rapidly growing branch of Artificial Intelligence (AI) that enables computer systems to learn from their experience, somewhat like humans, and make necessary rectifications to optimize performance. It endeavors to imitate the human thinking process.
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Machine Learning (ML) is a technology that makes use of various statistical techniques, in the form of algorithms, to train the modern computer systems and provide them with the ability to learn through experience, akin to human beings. This experience-based learning assists the computer systems in taking autonomous decisions, like human beings, without the need for any external command. Actually, the machine learning technology makes use of several sophisticated algorithms like supervised, unsupervised, etc., to make the machines learn from their experience and act intelligently based on that knowledge. Today, the ML enabled systems can analyze huge volumes of data and draw meaningful conclusions from it quickly. Though the machine learning technology has advanced much since its initial days, it still can’t replace human beings at many tasks. www.multisoftvirtualacademy.com/machine-learning/machine-learning-online-training
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In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression
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Machine Learning is the scientific practice of teaching computers to mimic human intelligence and actions. These computers also have to improve their learning in an autonomous manner. It is done by learning from observations and real-world interactions. Sets of data are studied by the machines to derive meaningful conclusions.
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