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Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods .
His machine learning course CS229 at Stanford is the most popular course offered on campus with over 1,000 students enrolling some years. [22] [23] As of 2020, three of most popular courses on Coursera are Ng's: Machine Learning (#1), AI for Everyone (#5), Neural Networks and Deep Learning (#6). [24]
Coursera Inc. (/ k ər ˈ s ɛ r ə /) is an American global massive open online course provider. It was founded in 2012 [2] [3] by Stanford University computer science professors Andrew Ng and Daphne Koller. [4] Coursera works with universities and other organizations to offer online courses, certifications, and degrees in a variety of subjects.
APT (now Mastercard) produces test and learn software for business analytics. [10] In February 2011, APT was awarded a patent that protects its core analytic technology for designing an in-market test and on matching test stores to control stores. [11] One of the company's patents was invalidated in 2020 by the US district court. [12]
Predictive analytics is a set of business intelligence (BI) technologies that uncovers relationships and patterns within large volumes of data that can be used to predict behavior and events. Unlike other BI technologies, predictive analytics is forward-looking, using past events to anticipate the future. [ 3 ]
Companies will soon focus on customizing AI solutions for specific needs, Cohere's CEO says. AI 2.0 will "help fundamentally transform how businesses operate," he wrote. Major AI companies like ...
While business analytics has a more broad focus on the who, what, where and when of business intelligence, behavioral analytics narrows that scope, allowing one to take seemingly unrelated data points in order to extrapolate, predict and determine errors and future trends. It takes a more holistic and human view of data, connecting individual ...
Many AI platforms use Wikipedia data, [272] mainly for training machine learning applications. There is research and development of various artificial intelligence applications for Wikipedia such as for identifying outdated sentences, [ 273 ] detecting covert vandalism [ 274 ] or recommending articles and tasks to new editors.
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