5 ways to add machine learning to Java, JavaScript, and more | JavaWorld
From Sorry There was an error emailing this page. 5 ways to add machine learning to Java, JavaScript, and more More like this After spending decades in the shadows as a specialty discipline, machine learning is suddenly front and center as a business tool. The hard part, though, is making it useful, especially to the developers and budding data scientists who are being tasked with the job. To that end, we rounded up some of the most common and useful open source machine learning tools we've spotted in the wild. For Python: Data scientists have jumped on Python as a more open-ended alternative to analytical languages like R , and many employers looking to add big-data expertise to their rosters are listing Python as a desired skill . As a result, plenty of machine learning libraries have shown up in Python's ever-expanding software roster. Of the bunch, the top choice is scikit-learn . It's loaded with algorithms and modules, is widely appreciated on GitHub (almost 2,Read full article from 5 ways to add machine learning to Java, JavaScript, and more | JavaWorld
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