I work at ValueFirst Digital Media Private Ltd. I am a Product Marketer in the Surbo Team. Surbo is Chatbot Generator Platform owned by Value First. ...Full Bio
I work at ValueFirst Digital Media Private Ltd. I am a Product Marketer in the Surbo Team. Surbo is Chatbot Generator Platform owned by Value First.
Success story of Haptik
526 days ago
Who is afraid of automation?
526 days ago
What's happening in AI, Blockchain & IoT
527 days ago
3 million at risk from the rise of robots
527 days ago
Could our mind be a machine learning algorithm?
We have all without doubt come into touch with Machine Learning, perhaps not knowing it consciously. For instance, when you make a purchase online and some items get suggested to you, this is an example of ML being used. Another instance would be a dating app that tries to match you based on your preferences and previous matches selected. Social Media Platforms like Instagram and Facebook also use ML to determine what content to show to you. These are just a few examples of how an ML algorithm is used. In today's landscape, ML is a powerful tool that many start-ups and more mature corporations are now adopting to derive more value.
So what is ML? ML is a type of computer algorithm which relies on a large amount of input data to make a future decision about a new data point. Basically, it is a type of algorithm that when it is fed data, it 'learns' and with more and more data that it processes, it becomes better at selecting the data points which best match the data set it was fed. The only thing ML can make decisions about is the data which was fed to it. For example, if you are shopping online for a black bag, the algorithm will suggest various black bags for you to chose from, but it will not suggest a blue or silver bag unless you look at some items which are black or silver.
When we think about our mind, it is much like an ML algorithm. We feed our mind certain data, in the form of stories we tell ourselves, the experiences we have, beliefs, things we read or watch, the music we listen to and the ideas we get from the people we interact with. In feeding our mind this data, we form a belief system and pick the next data point which best matches the belief system we have formed based on the information that our mind has received from us. So for example, if we have a series of positive experiences with working out, our brain develops a neural pathway which associates pleasure with physical exercise. The same is true if we have a series of negative experiences associated with a certain task, for example cleaning, our brain then develops a neural pathway that does not associate pleasure with that experience. Thus, the next time we want to feel happy, we may choose to work out but not clean. Much like an ML algorithm, we train our brain to make decisions based on the input we give it and our emotional reaction to it. While ML algorithms do not have an emotional component, our psychological makeup is such that we do and it is stored in the brain, and accessed via a neural pathway.
Our perception about life and the events we encounter or gravitate towards gets largely defined by the signals our brain gets from us that comes in the form of data it receives from concrete events and the emotions we associate with them. Therefore, if we wish to make changes, we need to feed our mind with different data. For instance, if we do not feed the brain with a certain kind of data, like in the case of shopping for a black bag above, our mind would not go ahead and search for a blue or silver bag. We need to first give our minds the possibility that the silver or blue bag exists. That is the reason why imagination is so important for lasting change. So let's start imagining the future we want in 2018.