Python Machine Learning Practical tutorials

Python Machine Learning Practical tutorials
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Machine Learning (machines learning, ML) is a multidisciplinary interdisciplinary subject involving probability theory, statistics, approximation theory, convex analysis, algorithmic complexity theory and many other disciplines. Specialized in computer simulation or realization of human learning behavior, in order to acquire new knowledge or skills, reorganize the existing knowledge structure to continuously improve their performance.

It is the core of artificial intelligence, is the fundamental way to make the computer intelligent, its application throughout the field of artificial intelligence, it mainly uses induction, synthesis rather than deduction.

Machine learning has been used in a wide range of applications, such as data mining, computer vision, natural language processing, biometric identification, search engines, medical diagnostics, detection of credit card fraud, stock market analysis, DNA sequencing, speech and handwriting recognition, strategy games, and robotic applications.

The research work in the field of machine learning mainly revolves around the following three aspects:
(1) Task-oriented research
Study and analyze a learning system that improves the execution performance of a set of scheduled tasks.
(2) Cognitive model
Study the human learning process and perform computer simulations.
(3) Theoretical analysis
Theoretically explore various possible learning methods and algorithms that are independent of the application domain
Machine learning is another important research field of artificial intelligence after expert system, and it is also one of the core research topics in artificial intelligence and neural computing. Existing computer systems and artificial intelligence systems do not have the ability to learn, at most, only a very limited ability to learn, and therefore can not meet the new requirements of technology and production. The discussion of machine learning and the progress of machine learning research will promote the further development of AI and the whole science and technology.

Python Machine Learning Practical tutorials