摘要： The pandas library offers core functionality when preparing your data using Python. But, many don't go beyond the basics, so learn about these lesser-known advanced methods that will make handling your data easier and cleaner.
摘要： Machine learning is increasingly moving from hand-designed models to automatically optimized pipelines using tools such as H20, TPOT, and auto-sklearn. These libraries, along with methods such as random search, aim to simplify the model selection and tuning parts of machine learning by finding the best model for a dataset with little to no manual intervention. However, feature engineering, an arguably more valuable aspect of the machine learning pipeline, remains almost entirely a human labor.
摘要： 藉由犧牲個人利益來極大化團隊利益，追求團隊的目標，是人類社會進步的關鍵。然而，合作不再是人類的專利， DeepMind 用 2 對 2 足球賽訓練 AI ，要讓 AI 學會團隊協作。起初個別的 AI 也是以極大化自己利益，後來學會了合作，以最大化團隊利益為目標。雖然這項研究只有 4 個 AI 參與，但它的意義是讓 AI 學會協作，為未來的更多 AI 協作與應用打下基礎。
