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摘要: Artificial Intelligence may possibly be the single most misunderstood concept in contemporary data management. Most organizations are unclear about the relationship of AI to machine learning (they’re far from synonyms) and distinctions between supervised and unsupervised learning (which has nothing to do with monitoring results or human-in-the-loop).

摘要: Think about a typical development life cycle. There are so many stages that require constant testing. It is a critical step that removes any defects that would interfere with the final product. Now, imagine how much time testers would take with manual tests. Not only would the processes be repetitive, menial, and tiresome. They will also be prone to human errors that result from fatigue or inattention.

摘要: Looking to pursue a career as a data scientist? This is a field that many people are interested in because the job prospects are so good, with data playing such a pivotal role in modern-day business. Data scientists can benefit from great job security, lucrative pay, career development opportunities, and rewarding and interesting work. While there are many perks to a career as a data scientist, you should also know that it is not an easy job and will be competitive. With this in mind, keep reading for a few pieces of advice that should come in useful for anyone looking to pursue a career as a data scientist.