Python machine learning practical tutorial
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Machine Learning (ML) is a multi-field interdisciplinary subject involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines. It specializes in how computers simulate or realize human learning behaviors to acquire new knowledge or skills, and to reorganize existing knowledge structures to continuously improve their performance.
It is the core of artificial intelligence and the fundamental way to make computers intelligent. It is applied in all fields of artificial intelligence. It mainly uses induction and synthesis instead of deduction.
Machine learning has a very wide range of applications, such as: data mining, computer vision, natural language processing, biometrics, search engines, medical diagnosis, detection of credit card fraud, stock market analysis, DNA sequence sequencing, speech and handwriting recognition, strategy Games and Robotics.
Python Machine Learning Practical Tutorial | Python Machine Learning Video Tutorial Download
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