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This is ASRCoding. In this article we'll be talking about which is the best language for AI. You already know if you want to get into AI or machine learning you need to know Python right yeah. It's a base language and some people are getting confused now that is, If Python is the only choice we have What about the people who are coming from Java background or C++, Can they go into AI using those based languages. So let's find out in this Article.
When it comes to Artificial Intelligence. Language is something which actually doesn't matter because see, In AI we do so much stuff. example understanding the problem and then solving it and then converting that into an algorithm which you can implement later and when you are implementing it that's where we will need a language because we will be using some libraries we'll be using the language syntax and then we'll be implementing it now which one to choose and that's a bit difficult question right and to answer that we will go for three things:-
- Ranking
- Your Area
- Domain
Ranking:-
Here the first one is the ranking. Now the ranking will depend upon the number of people using it and the number of libraries available for that.
Your Area:-
The second category we'll focus on is your area which you will be working on maybe example sentiment analysis may be NLP or may be flaw detection so we'll talk about those areas.
Domain:-
And in the end we'll talk about your background and then you can decide which you want to go to.
Now when it comes to ranking. Let's list those top five languages in fact those languages have been ranked based on the number of views and the number of libraries available.
- Python.
- Java.
- C++.
- JavaScript.
- R language.
And of course, we have some other languages as well with using, which you can implement machine learning.
Now once we got the ranking. let's go for the second one which is Area, which depends upon the area or depends upon which domain you are working on, your language will change. example when it comes to NLP or when it comes to sentiment analysis people normally prefer Python because it has so many libraries available and or maybe as a professional you have chosen data science as the first profession in this case you don't want to focus much on the language right. because let's say you are working on data science or you're working on machine learning. You don't know any language now because you still want to implement it now how are you going implement, of course, you have to learn a language.
Now Java is not a language that anyone will learn as a first language right. Why I’m saying this because it takes time and that's why people normally go for Python because it is easy to learn and since we have so many languages available they will use it.
In fact, it's not that we cannot use other languages for sentiment analysis on NLP like we can use Java we have a library for that. We can use JavaScript, we can use R language but Python is widely used in terms of NLP and sentiment analysis. Let it change our domain to enterprise now an example in the enterprise. Let's say we are working with big data in which you are working with fraud detection you are working with Network security in this term since you are working in the enterprise and most of the software's have been using Java, so your team may force you to use Java in fault machine learning and it's quite possible you know because you might be implementing a small model of machine learning in a big project and the entire project is built on Java. So of course what makes sense here is to use Java. so in terms of fraud detection in terms of security, you might prefer Java.
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Here I'm not saying this that, it cannot be done with Python but then people normally prefer Java here and now if you change the domain let's say if you are focusing on robots if you are focusing on speech recognition if you are focusing on games then the widely used language you have guessed it right, it's C and C++. Because we already make use of them. We build games using C and C++ right, you don't want to you know make it heavy, using JVM concepts, and then there is interpreter part so it makes more sense to use C and C++ there.
And then we have some other fields as well where you can implement R Language. You can just go to Google and search for machine learning in R and you will get different domains available and different domains where R is very famous.
Now you might be thinking we can use JavaScript as well right because you know we have this new Framework now tensorflow.jS. Initially, we people were using Python but now thanks to tensorflow.jS we can use JavaScript as well. And that's right so people who are into the web development world or internet development world. If they want to get into AI of course they will prefer JavaScript right. Because that's the best language they know so it will be easier for them to implement and you know Google can attract more and more developers who knows JavaScript.
So those are the factors using which you can select. The first one is of course we will see the ranking but you cannot totally depend upon the ranking because we have two more factors the first one is the domain, that you're working on, So if your domain says hey you want to work on games or AI. Of course, you might prefer C or C++ or Python or maybe if you want to work on the enterprise you might prefer Java. and if you are working on NLP you will prefer Python or let's say you already worked on Java a lot let's say you have experience of 10 years and now you want to get into AI so you can still implement everything in AI using Java.
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Of course, you can select any language there is no best language for AI at least at this point.
But yes Python is the preferred one because of two reasons:-
- It’s easy to Learn.
- It has many libraries
so that's it, that's how you choose the best language.
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