Introduction to Machine Learning
Nowadays, when we don’t understand anything we just Google it. It’s a very natural habit. However often we get complicated answers. So let’s just try to simplify the complicated answer for the most Google question “What is ML” for better understanding. Machine Learning and AI are making a buzz in the tech world for decades yet these terms are relatively new to many out there.
What If We say Machine Learning is a part of AI? we wouldn’t be making any mistakes. How about we take a closure look to clarify? Primarily Machine Learning is nothing but building machines which are able to process huge amount of data on their own and learn from it to think and act like a human without any supervision. You must be thinking like, It’s sounding like building a transformer.
Well yes, it’s more or less like that in layman’s language. In simple words let’s call it a building Machine who has a brain. In order to build a brain-like logical machine we first need to understand how the human brain works. It became easy as in the past few decades we decoded how the human brain functions through its neural network. We came to an understanding that, it is easy to teach computers how to learn than to teach them how to just perform. And that was the first major breakthrough in Machine Learning history.
It is very similar to teaching a new-born human baby to make a fine citizen. Of course in the case of the machine, the catch is we don’t want citizens we want machines to perform the given task effectively. The second breakthrough was the invention of the internet AKA the World Wide Web in the year 1989. Sir Tim Berners-Lee graduate of Oxford University and British computer scientist succeeded in opening our doors to the virtual world.
With this unthinkable invention, it became very easy to store massive information data which is not at all possible for the human brain.
Future of Machine Learning
Let’s hop-on to take a sneak peek into the near future of Machine Learning. It wouldn’t be a brave statement “Machine Learning future is undying”. This technology is growing at a breakneck pace almost every day. Take a look around and you will see that you are surrounded by machines that are actually logical like humans’ brains. The laptop on which you are reading this article right now is a machine and the mobile on your desk is a machine.
The smart speakers from Amazon – Alexa in your house are an example of a logical machine. The role of future tech is huge with the trend like remote monitoring of the sick, work from home, and our new normal online shopping. We are moving towards an era of the automotive industry, automotive homes basically automotive society. And to make that happen obviously we need more and more machines those are able to perform tasks without supervision.
We cannot unseen that Tesla CEO Elon Musk already succeeded in launching Full Self-Driving (FSD) feature in its Autopilot system on Oct 20, 2020, which is just last month. Musk is aiming for a wide release of FSD by the end of the year. So if you don’t see a driver in the driver seat you shouldn’t be surprised. It’s the magic of Machine Learning and AI.
Conclusion
ML has particularly taken the centre-stage as more and more brands have to realize that the possibilities are endless. According to research 2020 is the breakthrough year for Machine Learning. CRN predicted that the revenue generated by ML is expected to reach $156.5 billion worldwide this year, according to market researcher IDC, up 12.3% from 2019.
Considering all the facts until now Machine learning future looks prominent and it’s not going to fade away so soon. So, as an IT professional if you are thinking to take step ahead for ML Certification then needless to say It is right choice and time.
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