Machine learning is a technology by which machines can give us valuable results from raw data. The data is provided to the machine in various ways i.e. previous data and prevailing data. For instance, a weather forecast system employs machine learning to calculate the temperature in the upcoming days.
The Weather system uses previous historical data and continuous data of current days to calculate the temperature. In this post, we will discuss advantages as well as disadvantages of Machine Learning.
ADVANTAGES OF MACHINE LEARNING
Dealing with mundane tasks
One extensive benefit of machine learning is its potential to perform mundane tasks with the help of intricate automation that will improve productivity. Theoretically, this can even eliminate “boring” tasks from humans and free them up to be more creative.
Using machine learning besides cognitive technologies can aid in making quicker decisions and take actions faster. You can learn Machine Learning by Machine learning online training class.
The expression “human error” was born because humans, simply, make errors from time to time. Computers, though, do not make these blunders – that is, of course, considering they are programmed correctly. With machine learning, data could be treated error-free, no matter how large the dataset might be.
Taking risks on behalf of humans
With machine learning you can arguably reduce the uncertainties you expose humans to in the name of experimentation. Take, for example, space exploration and the Mars rover, known as Curiosity. It can travel across the landscape of Mars, examining it and deciding the best routes to take, while getting to think for itself. Using artificial intelligence in this manner could lead to huge advantages in areas such as demand forecasting, medical diagnosis, and oil exploration.
DISADVANTAGES OF MACHINE LEARNING
There is little doubt that artificial intelligence & machine learning will displace many low-skilled jobs. Arguably, robots have already taken many jobs on the assembly line – but now this could extend to new levels. Take, for example, the concept of driverless cars, which could displace the need to have millions of human drivers, from taxi drivers to chauffeurs, very quickly. Of course some would argue that artificial intelligence will create more wealth than it destroys – but there is genuine risk that this will not be distributed evenly, particularly during its early expansion.
Distribution of power
Artificial intelligence carries the risk, in the minds of some, of taking control away from humans – de-humanizing actions in many ways. Nations that are in possession of artificial intelligence could theoretically kill humans without needing to pull a trigger.
Lack of judgement calls
Humans can take unique circumstances and judgement calls into account when they make their decisions, something that machine learning may never be able to do. One example occurred in Sydney, Australia, in 2014 when a shooting drama in the downtown area prompted people to make numerous calls to Uber in an effort to escape the area. The result was that Uber’s ride rates surged based on its supply and demand algorithm – there was no consideration involved for the circumstances in which the riders found themselves.
In this active living life, we need to manage all our work within a given time in this case if our system takes some decisions to keep it updated with the resources is vital. Machine learning with the help of artificial intelligence and other cognitive technologies makes it a new era in the domain of development in computer science.
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