Applied machine learning
Machine learning is an artificial intelligence technology that enables systems to learn and improve from experience and by exposure to data, without being programmed explicitly. Machine learning techniques can be successfully applied to a wide range of important problems, including robotics, computer vision, speech recognition, natural language processing, bioinformatics, economy, physics and other fields of science and technology. Additional practical applications of machine learning are found on a daily basis and the set of potential applications is virtually unlimited. In this seminar an introduction to the field of machine learning and deep learning is presented and the major algorithms are discussed.
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2020, January, 20
Cosmic Bell Test Using Measure...
In 1964 John Stewart Bell presented an inequality that was able to test the validity of quantum mechanics against local realist models. The inequality states that any theory that satisfies...
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Monitoring the Formation of Am...
The formation of oligomeric soluble aggregates is related to the toxicity of amyloid peptides and proteins. In this manuscript, we report the use of a ruthenium polypyridyl complex ([Ru(bpy)2(dpqp)]2+) to...
Learn More2020, January, 07
Opportunities and Challenges f...
Due to the importance of chemistry in different industries, protecting the environment, preventing the destruction of natural resources, and creating a healthy and natural life have emerged as important components...
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