The Machine learning still needs data scientists to optimise results
"Machine learning is not a one-size-fits-all technology, but a growing library of technologies that need to be understood and deployed correctly to achieve meaningful results."
Machine learning (ML) can help communications service providers (CSPs) to manage the growing expense of creating and maintaining algorithms built by data scientists. The ability to allow machines to learn insights and relationships through the application of ML techniques means analytics can be applied to more use cases. In addition, ML is a key component in the creation of artificial intelligence, which enables applications to learn from their environments. However, ML is not simple and CSPs and vendors need to carefully select which ML algorithms are used for each use case.
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Global Industry 4.0 market projected to propel due to the growing demand for industrial robots and increasing focus on enhanced efficiency and reduced production costsGlobal Industry 4.0 market size wasView Report
India Artificial Intelligence in Healthcare Market by Offering (Hardware, Software, Services), by Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision and Querying Method)
India artificial intelligence in healthcare market likely to growing due to the rising usages of AI for the improving quality of patient care and providing virtual assistants & help inView Report
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