摘要： In self-supervised learning, an AI technique where the training data is automatically labeled by a feature extractor, the said extractor not uncommonly exploits low-level features (known as “shortcuts”) that cause it to ignore useful representations. In search of a technique that might help to remove those shortcuts autonomously, researchers at Google Brain developed a framework — a “lens” — that makes changes enabling self-supervised models to outperform those trained in a conventional fashion.
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： Design science research (hereafter DSR) is a relatively new approach to research (Reubens, 2016) with a goal to construct a new reality (i.e. solve problems) instead of explaining an existing reality, or helping to make sense of it (Iivari and Venable, 2009).
摘要： Data integration uses both technical and business processes to merge data from different sources, with the goal of accessing useful and valuable information, efficiently. A well-thought-out data integration solution can deliver trusted data from a variety sources.
摘要： In addition to the myriad cybersecurity risks organizations already face, another vulnerability has emerged that affects most enterprises: the presence of sensitive data stored in unsecured files, i.e. unstructured data.
摘要： “The Snowflake Private Data Exchange represents the future of managing and sharing data broadly and securely inside enterprise and institutional boundaries,” Snowflake CEO, Frank Slootman said. “The data exchange model will become the deployment standard for exploring, discovering and sharing data enterprise-wide.”
