摘要： Nvidia has introduced enterprise software for AI, speculating that more artificial intelligence workloads will be headed to on-premises data centers.
摘要： Automation is now being applied to all sorts of white-collar tasks. AI is the ‘intelligent’ piece that helps drive more value, but not in all circumstances.
摘要： In such cases, FbProphet is your savior; easy, fast and gives good performance. If you know how FbProphet works, you can use it well to fit your time-series data.
摘要： The area of Artificial Intelligence and Data Science is massive. To understand between Artificial Intelligence and Data Science, often there is a lot of confusion. In this article, we’ve summarized the relationship between these technologies. But first, let’s take a look at what both of them stand for.
摘要： Rendezvous Architecture helps you run and choose outputs from a Champion model and many Challenger models running in parallel without many overheads. The original approach works well for smaller data sets, so how can this idea adapt to big data pipelines?
摘要： Data analysts are dealing with bigger datasets than ever before, making interrogation difficult. Visualized Exploratory Data Analysis, supported by advanced parallel computing, promises an answer.
