The thesis discusses the development and history of machine learning, showcasing its major methods and how they function, their advantages and disadvantages, and demonstrates how various methods can be applied in the field of chemistry. It also describes the process of optimizing reaction conditions and the discovery of new active substances using these methods. Additionally, the thesis compares these methods with traditional ones and describes the human role in the field of machine learning.
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