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IBM SkillsBuild offers 1,000 courses in 20 languages on artificial intelligence, cybersecurity, data analysis, cloud computing, sustainability, and many other technical disciplines — as well as in workplace skills such as Design Thinking. Participants can earn IBM-branded digital credentials that are recognized by the market.
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
The result was published in 1964 in a double issue of the IBM Systems Journal, [8] thereafter known as the "grey book" or "grey manual". The book was used in a course on computer systems design at the IBM Systems Research Institute. [8] In 1965, Sussenguth joined the IBM Advanced Computer Systems project (ACS-1) to work on high performance ...
Watson Studio provides access to data sets that are available through Watson Data Platform, on-premises or on the cloud. The platform also has a large community and embedded resources such as articles on the latest developments from the data science world and public data sets. The platform is available in on-premises, cloud, and desktop forms.
Watsonx.ai is a platform that allows AI developers to leverage a wide range of LLMs under IBM's own Granite series and others such as Facebook's LLaMA-2, free and open-source model Mistral and many others present in Hugging Face community for a diverse set of AI development tasks.
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