实际应用中，如何设计机器学习算法？ 这一过程能否自动化，以减少人力消耗？ 为此，自动机器学习（AutoML）技术应运而生。 近日，大连理工大学刘日升教授与北京大学林宙辰教授合作，在《国家科学评论》（National Science Review, NSR）发表观点文章，在双层优化 ...

Hyperparameter optimization lies at the core of developing robust and reliable machine learning models. Unlike parameters learned during training, hyperparameters are set prior to the learning process ...

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This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

The two biggest barriers to the use of machine learning (both classical machine learning and deep learning) are skills and computing resources. You can solve the second problem by throwing money at it ...