Machine learning is not new, and it has certainly made an impact over the past few decades. There is no doubt that it will remain a significant player in technology for the foreseeable future. This interesting topic came to us from Tech Xplore in their article, “How will machine learning change science?“
Machine learning is ubiquitous in industry these days. Organizations around the world are scrambling to integrate machine learning into their functions and new opportunities for aspiring data scientists are growing multifold.
Machine learning works on the principles of computer algorithms that learn in a reflex manner through trials and experiences. It is an application of artificial intelligence (AI) that permits program applications to anticipate results with utmost precision.
Most organizations have little knowledge of how AI systems make the decisions they do, and as a result, how the results are being applied in the various fields where AI and machine learning are being used. This is unfortunate as explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.
Melody K. Smith
Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
