{"id":35913,"date":"2024-11-01T09:43:53","date_gmt":"2024-11-01T09:43:53","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=35913"},"modified":"2024-11-01T11:10:21","modified_gmt":"2024-11-01T11:10:21","slug":"machine-learning-and-deep-learning-algorithm-trading-exploration-vs-exploitation-trade-off-%ce%b5-greedy-policy","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/35913\/","title":{"rendered":"Machine Learning and Deep Learning Algorithm Trading, Exploration vs. Exploitation Trade-off \u03b5-greedy Policy"},"content":{"rendered":"

<\/p>\n

Algorithmic trading is becoming increasingly emphasized in the current financial markets. In particular, automated trading systems using machine learning and deep learning are establishing themselves as even more powerful methodologies. In this course, we will explain the basics of machine learning and deep learning algorithmic trading, as well as the trade-off between exploration and exploitation through the \u03b5-greedy policy.<\/p>\n

1. What are Machine Learning and Deep Learning?<\/h2>\n

Machine learning is a set of algorithms that learn rules from data and make predictions based on them. Deep learning is a field of machine learning that is based on artificial neural networks, allowing for the learning of more complex data patterns.<\/p>\n

1.1 Basic Concepts of Machine Learning<\/h3>\n

Machine learning can be broadly classified into three types:<\/p>\n