Who Said Machine Learning Is Rocket Science?
Open Source For You|October 2017

If you’ve been curious about machine learning, this article is a good place to start exploring it. Apart from introducing readers to the basics, it also encourages you to learn by pointing you in the direction of various online courses and libraries.

Puneet Batra
Who Said Machine Learning Is Rocket Science?

All of a sudden, everyone has started talking about artificial intelligence or AI. Rapid advances in this field have certainly forced people to believe that this is going to drive innovation for at least a decade.

We experience the application of AI in our daily lives in innumerable ways. This could be in the form of an advertisement of a product on a social media platform where you were planning to buy something, or it could be a recommendation of another product that pops up as you’re purchasing a product from an e-commerce website. For example, a recommendation may be made to buy a mobile cover just as you’re buying a mobile phone, because the site’s system has predicted a higher probability of being able to sell a mobile cover along with the phone. So, knowingly or unknowingly, we are already experiencing AI.

There have been some incredible developments in AI that have led many to believe it is going to be the technology that will shape our future.

1. AlphaGo beats world champion at the game Go: In March 2016, Google’s DeepMind achieved a major victory in deep learning. AlphaGo, a division of the company, mastered the ancient Chinese game Go and defeated Lee Sedol, the world champion in four out of five games. According to many, Go is considered to be the most complex professional game because of a huge number of potential moves that can be made.

2. AI predicted US election results: Many of us were surprised by the outcome of the US presidential election results, but a startup called MogIA based in Mumbai was able to predict it successfully a month before the results were declared. The company analysed social media sentiment through millions of social media data points. This was the firm’s fourth successful prediction in a row.

This story is from the October 2017 edition of Open Source For You.

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This story is from the October 2017 edition of Open Source For You.

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