Artificial Intelligence can be defined as the new-era concept for the machines. With its help the machines can carry out the smart tasks quite easily.
Machine Learning, on the other hand, can be well defined as the process of feeding in the data in the computer and leaving the computer to understand the concept all by itself. They are anything but same, however; they possess the same thought process.
The interdependence of AI and Machine Learning:
To think of it, Artificial Intelligence is much dependent on Machine Learning. It can be perceived as the engine which is driving Artificial Intelligence to a great new height. Machine Learning is much like the subset of Artificial Intelligence. To put this context, in other words, we can say that all the Machine Learning systems are a part of Artificial Intelligence but the same cannot be said about all the Artificial Intelligence system. Not all the Artificial Intelligence systems are Machine Learning. However, just just like every family is incomplete without its member, likewise, Artificial Intelligence is quite nothing without Machine Learning.
How do they differ?
While the Machine Learning algorithms make it more efficient in its work, the Artificial Intelligence system is mainly concerned with the development of such programs. Artificial Intelligence is nothing but the science that makes the Machine Learning algorithms happens. Artificial Intelligence, on the other hand, has become such a prominent part of our lives that we may use it a thousand times without the knowledge of it.
Be it your smart phones or your car, they have already shifted to the world of Artificial Intelligence without your knowledge about it.
Their significance in the market:
However, artificial learning will only progress when the Machine Learning has obtained its significance in the society and the sole way to achieve that is by increasing its performance. There is an amazing scope for development for the Machine Learning algorithms. More and more companies are looking forward to the better version of Machine Learning so that they can employ artificial learning in the most unsought way so as to increase the price value of the company. It is definitely a wise investment. Over the past few years, Artificial Intelligence has increased by leaps and bounds. The increased availability of GPUs has made it possible for the parallel processing to perform faster and in a better way.
Now the complex problems are seen as somewhat subsidiary or to say it better the definition of the complex has completely changed. The fabulous machine systems which are developing as of late possess all the senses of a man. All that once was seen in the movies alone are all possible today.
The science behind Artificial Intelligence has developed so much that now even the terminators seen in the movie “The Terminators” can be enacted now and be breath lives into. These technologies have somewhat overtaken the human capabilities and power, such is the power they possess. Accordingly, Machine Learning is best defined as the practice of using algorithms to convert data, learn from it, and then make a prediction about something in the world and see to what level is your prediction correct and then accordingly change the algorithm to make the program more productive. Thus how these both can be summed up in words.
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