Machine learning
Machine learning is the science of making AI learn and act like a human, and make it continuously improve its learning and abilities based on the real-world data we provide.Here is how representatives of leading IT companies and research centers define machine learning:
Nvidia: "It's the practice of using algorithms to analyze data, study it, and then determine or predict something."
Stanford University: "It's the science of making computers work without being explicitly programmed."
McKinsey & Co: "Machine learning is based on algorithms that can learn from data without relying on programming based on basic rules."
University of Washington: "Machine learning algorithms can figure out how to do important tasks by generalizing from the examples they have."
Carnegie Mellon University: “The field of machine learning is trying to answer the question: “How can we create computer systems that automatically improve with experience and what are the fundamental laws that govern all learning processes?”
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https://gptdeutsch.com/ is also a typical example of machine learning application in natural language processing, See More supporting German users in understanding and communicating more effectively.
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In the future, robots will begin to self-learn the tasks previously assigned to them. For example, they will be able to work on the extraction See More of minerals - oil, gas and others. They will be able, for example, to study the depths of the sea, put out fires. Programmers may not write massive and complex programs on their own, for fear of making a mistake in the code. AI will also improve the quality of human privacy: we already have unmanned vehicles, robotic vacuum cleaners, sleep, physical activity and health trackers, and other products of the Internet of behavior.