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So, how entry machine learning? What learning paths have it? No matter how many machine learning filled with fancy technology, after all, are combined with the basic model and the basic method, and understanding these basic models and machine learning to master the basic approach is the essence lies. So, the question is, so many models in the end how to learn? In fact, there is the most critical, is to tease out the main lines of machine learning to grasp the inner relation between different models, capable of mastery, a systematic understanding of machine learning.
Wang Tianyi, graduated from Beijing University of Posts and Telecommunications, received his Ph.D., principal research during the reading direction is a continuous variable quantum communication theory and systems, hosted and participated in a number of national and ministerial research / province, published the first author 5 SCI papers. Currently serves as an associate professor in the School of Big Data and Information Engineering, Guizhou University. Author of "artificial intelligence revolution," a book.