摘要： While Pandas is the library for data processing in Python, it isn't really built for speed. Learn more about the new library, Modin, developed to distribute Pandas' computation to speedup your data prep.
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。
