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Artificial Intelligence vs. Machine Learning


Hello Technotizers, Artificial Intelligence and Machine Learning have been the key buzzwords for this decade, a lot of surveys conducted and analytics proofed to say that Artificial Intelligence and Machine Learning related jobs will be the top contenders for the next decade. In this article we are going to compare Artificial Intelligence head-on with Machine Learning.


Introduction to Artificial Intelligence:

Artificial Intelligence we have heard about it so much in the last decade itself, well it's actually a fairly old concept which is being brought into power and shine today because of all the computing power the world has to offer. Artificial Intelligence is the theory and the development of computer system helping it to perform tasks which actually require some sort of human intelligence. You might wonder what sort of tasks actually requires human intelligence. Well the first thing Artificial Intelligence is very good at doing is image recognition because image recognition is again very useful when it comes to social media or even now a couple of traffic cameras. Then coming to speech recognition, in the field of speech recognition again you can have various safety and security locks which are just answered to one person's voice. Then we have voice assistants who pop up for this particular speech and much more. Next coming to decision-making, decision-making as you might know will require some sort of cognition, it will require some sort of human intelligence but then the Artificial Intelligence of these days are trying to achieve very good level of cognition to level up with humans. And then we have translations like considering a language translation, image translation or whatever it is it would require some sort of intelligence here as well but then the machines have got good enough such that they can do it without having any human interference there. Artificial Intelligence of today has been so subtly integrated into our lives that we don't even notice it.

Ø     Artificial Intelligence in this particular world has already told you the number, one thing is Chat-bots, so every time you open up your Google assistant, talk to Crotona, talk to Bixby, Alexa, Siri, etc. meaning there are many other chat BOTS out there.

Ø    The next most important application of Artificial Intelligence is when it comes to finance because think about this, if you're a stock trader then people might know that stock trading will require huge amounts of experience, a lot of skills but then if you had a machine or Artificial Intelligence working for you, Machine Learning models working for you which can give you a better insight and a better look at what the future would look like then the chances of you actually having this as a lucrative carrier might increase. You can do a lot of pattern recognition of how your stock is performing, you can perform prediction activities.

Ø    Then coming to healthcare, the most important thing that happened in the year 2019 was the use of Artificial Intelligence to track breast cancer prematurely and about 53% of the time the chances are that it the Artificial Intelligence model actually diagnosed the people right and this was one year before they would actually get an official diagnosis. So this is something amazing about artificial intelligence, again if you buy the latest fitness tracker watches, they're all tracking your health daily, there are watches which can track your ECG or they can track your blood oxygen saturation and much more.


Introduction of Machine Learning:

Machine Learning is an application of Artificial Intelligence or Machine Learning is one of the ways to achieve Artificial Intelligence. It provides machines the way that they can automatically learn, automatically improve and go about without actually being programmed on every step. Machine Learning is a lot of mathematics, statistics and algorithms on steroids  but then the future goal of Machine Learning is again to achieve Artificial Intelligence, to achieve human-level cognition or if not better we call it artificial super intelligence. So here are some of the Machine Learning applications that we actually see around us. Everything from voice recognition and in social media, Twitter or tweet prediction is algorithms. Google’s algorithms in fact are working right now where you search for a keyword or a concept that you actually want to learn and this article comes up. Then we have Skype as well and even Instagram, what post it has to show you, what advertisement it wants to show you, all works on Machine Learning algorithms. Google came up with Google brain and established the open-source world of Machine Learning to the world, and people started realizing that Google brain is an amazing product through which they can develop algorithms and can work with Machine Learning. And this list continues to grow until it fascinates you with the outspreaded applications of Machine learning. Machine learning has the ability to automate almost everything and will create wonders in the near future.

Note: To read in detail about Machine Learning and its applications, visit the following article

link: Machine Learning

 

Artificial Intelligence vs. Machine Learning:

Let’s go down into a couple of simple points.


1.      Definition: In the world of Artificial Intelligence the intelligence part of it is actually defined how  we talk about the machines gaining knowledge and the ability to actually learn something and apply what it has learnt that is where the word intelligence comes in. Coming to Machine Learning, it basically involves the process very similar to Artificial Intelligence where it's acquiring information but then it's doing it in a very different way to something called repeated learning, where it actually learns on one particular concept again and again to master it.


2.      Aim: The second point which is the technological aim of artificial intelligence and Machine Learning. When it comes to AI, it is concerned about increasing chances of success in actually mimicking human intelligence so Artificial Intelligence is not concerned with how accurate it is but it's a very different story. Machine Learning strives to increase the accuracy and it would actually sideline the amount of success that it sees because achieving accuracy in the mathematical model in terms of Machine Learning is actually a very good priority and it does actually build for what it's supposed to do and it does it very well.


3.      Skills: The general skills required by an Artificial Intelligence developer include Programming Skills such as Python, R, Java and C++. Other skills include mathematics (Linear Algebra, Probability, and Statistics), Spark and Big Data Technologies, knowledge about algorithms and frameworks and also communications and problem-solving skills. When you talk about our Machine Learning, it requires a bit of programming in depth because languages such as a Python or Java all of these concepts are the ones which implement the mathematical concepts or statistical concepts and which provide the foundation or help the Machine understand the mathematical algorithms on which it has to use these concepts and work on.


4.      Average salaries: An AI developer gets somewhere over 120 thousand USD per year and then an average salary for Machine Learning engineer is over a hundred thousand dollars per year as well. This number is an average number for an associate to junior or a middle intermediate level or programmer but do know that there are companies out there in the world which will actually pay three times four times the number you see on your screens right now throughout the world. So they don't mind where you are, they don't mind what amount they're paying out, if you're actually good with the skills and you have the right certification when it comes to especially artificial intelligence, Machine Learning and concepts of data science.

 

On this note, it’s pretty obvious that you might have been known the mightiness of Artificial Intelligence and Machine Learning. When used together these two have the ability to bring new innovations which will surely revolutionize the era. Plenty course certifications are available which provide skills of these fields. Do take these courses and polish your skill set to have a bright future in these wonder fields. Hope you found the article helpful. See you then!! 

Keep coding and exploring new techs!!

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