Machine Learning is one of the most talked about fields today. While the term might sound a bit complex, it is far simpler in its meaning and much expansive in its man ifestations in real life. To get some industry insights from an insider who has seen the space inside out, The Machinist undertakes this journey through the frontiers of machine learning with Ramakrishna Ramanathaiah, a professional in the SAP and Machine learning space with an expansive experience spanning more than 17 years. He regularly uses Python and the R programming language for data analysis.
Sit back as we get to know all about the machine learning buzz and what the future holds in its vaults!
Talk about machine learning and you’re sure to scare off people. Please tell us what really machine learning is and why it’s so popular.
It’s not at all like that! The basic concept of machine learning is actually a very simple one. Okay, so one thing that really distinguishes humans from machines is the ability to learn. We, humans, can comprehend what’s happening and adapt. What makes this possible is our ability to learn. You see, with programming, coders give the computer instructions about what to do and how. The computer simply follows what it’s been told. With machine learning, things go a step further. Machine learning (ML) gives computers the power to constantly learn without being explicitly asked to do that via programming. This is the key to the power of machine learning. Using ML, intelligent machines can learn from data and make informed decisions.
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Esta historia es de la edición December 2019 de The Machinist.
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