KDnuggets – 7/20/18
[Ed. Note: Byline by Smrati Gupta, Principal Data Scientist, CA Technologies]
I like how machine learning has found its way into our lives and how it makes the interaction with technology far more lucid and natural than before. I love how you tube suggests me my next videos to watch based on what I watched previously. I love when Google maps know that I would like to go to Yoga at 6 am and to work at 9 am. I like that I don’t need to go through the list of movies on Netflix in alphabetical order but it knows which ones I would like the most. I like the power of machine learning based software to predict, learn, recommend and self-correct. As we interact more with these background algorithms, they get better tuned to provide us tailor-made products. It is like walking into a restaurant and having a shortlisted set of dishes tailor made to my taste without me asking for it. Oh wait- we do have it already right?
We like this angle of technology is because it makes our lives easier. It reduces the pain of removing the piece of information that does not interest us and is noise from our perspective. What is noise for me, may not be noise for you, and hence machine learning is removing the noise from our lives in a relative manner. The “relative noise reduction” helps us trust Artificial intelligence (AI) more. The acceleration in adoption of technology due to power of AI is a self-sustaining cycle: by increasing our trust in technology, we use it more, that improves the technology further. Once we trust the technology, we allow it to advise us, to compete with us, to help us and to educate us. We lead ourselves to let AI learn our tastes and take it further from there.