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5 Major Implementation of Machine Learning
July 5, 2019
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Machine learning doesn’t require any introduction in this day and age. Most giant corporations and even some small ones are trying hard to find uses for machine learning within their domain. Some were quick to identify the potential and some required a bit of time and additional effort. But eventually, everyone found a use for machine learning in their industry.

1.Machine Learning in Healthcare

The very definition of machine learning gives you an idea of how broad the spectrum is for machine learning’s potential. Its potential is literally limitless. And medical researchers have teamed up with the machine learning experts over the past couple of years to exploit this potential of machine learning.

They are trying to implement machine learning into different aspects of the medical industry. First of all, machine learning is used in the diagnosis of diseases. Another prominent place where machine learning can thrive is report reading. When the value of the medical test comes in, a doctor has to take his time and write a comment on the report which is the summary of all the data. But using machine learning, we might be able to get complete medical test reports in our hands quicker.  

Also, the drug industry can also benefit from the potential of machine learning.

2.Machine learning in finance

Familiar with hedge funds, blockchain, quant – these terms?

These are the hot topics of finance these days and machine learning is interrelated to these topics since the beginning. Using machine learning, companies are leaving important decisions to AI (artificial intelligence).

Finance is perhaps the first and main sector where machine learning hit and made an impact. Financial institutions on Wall Street have recently developed highly sophisticated programs, more accurately, algorithms that apply AI to the investments.

3.   Machine learning in Ride sharing app & driverless cars

After the bombarding success of Uber, a lot of other ridesharing apps emerged and grounded their position in the ecosystem. These ride-sharing apps use machine learning to identify which driver is closer to the passenger and how long will it take to reach the passenger.

Again, the use of machine learning in driverless cars is increasing too. These driverless cars are using machine learning to identify pedestrians. Deep-pocketed startups and large companies have zeroed in on the industry. The biggest players in this field are:

  1. Google
  2. Uber
  3. Tesla
  4. Magna
  5. Lyft
  6. General Motors
  7. Ford
  8. Volkswagen
  9. Aurora Innovation

4.   Machine learning in Robotics

Like driverless cars, robots are also evolving using machine learning. They are learning how to move, how to turn and advanced machines are even learning how to solve a newly created problem given to them – All of this thanks to the help of machine learning. But experts believe, we haven’t even scratched the surface in regards to how we can use machine learning in advanced tech. There is no denying the fact that technology will evolve and machine learning will have a good role to play in it.

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Richard Nevis

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