Dạ kỳ trước môn Machine Learning thì em học về các khái niệm: Linear regression, Gradient descent, Computational Graph, Logistic regression, Softmax regression, Over-fitting vs under-fitting, Decision tree, Instanced based learning, Statistical learning, Ensemble, Support vector machine, Neural...