Before we go in-depth on our main topic best programming language for machine learning, it is important to have an introduction to machine learning.
You may have seen a lot of things that perform functions automatically without even providing them some specific commands every time and they might have put a lot of queries in your mind also how do all these things work?
Some of the best examples of this include automatic language translation e.g. google translate, Image recognition features in mobile phones, speech recognition(e.g. google voice search), self-driving cars, etc.
So, the answer to all those queries that you may have because of these is the Machine Learning that makes all this stuff possible. I want you to follow along till the end of this article carefully in order to get to know about it in detail.
1. Understanding Machine Learning
1.1 What is Machine Learning
Machine Learning is an application of Artificial Intelligence, and this term was first used by Arthur Samuel who was a pioneer in artificial intelligence. He defined it as “a field of study that gives computers the capability to learn without being explicitly programmed”.
In machine learning, different algorithms are used which further employ the use of different statistics to know and learn the different patterns from the massive amounts of user data and this data could include almost anything e.g. words, numbers, images, clicks, etc.
All this data is collected and then it is used to learn user behavior and different tasks are performed on the basis of that learning. So, it enables the computer to automatically learn and perform tasks without programming it again and again.
1.2 Importance of Machine Learning in today’s scenario
Machine Learning is such a concept that it lives all around us or it won’t be wrong to say that it powers the world. Almost all of the latest apps, even home utensils with advanced functionalities are powered by machine learning.
The best examples that I can give right now include the different recommendations that we get on Netflix and YouTube, search engines like Google, and voice assistants like Siri.
Today, almost all of the latest cars come with the features like speech recognition that enables the car to understand the command and perform that function this is all the application of machine learning.
So, machine learning is the most important concept in today’s world that is being used in almost every field of the world today because every field now is doing most of the work with the help of IT.
2. Which is the best programming language for Machine Learning?
Python is the best language for machine learning and it is still really famous in 2021. It is the most used language at the back-end for projects like machine learning or anything else that is related to scientific work or mathematics.
It also has a framework called Django which is used by people all around the world at the backend for making large-scale and complex apps, web apps, and websites very efficiently.
Here I’m going to enlist and explain one by one the best programming languages along with the best frameworks for machine learning:
Python is an interpreted high-level general-purpose language. A general-purpose language can be used for almost all of the purposes and so can be the Python programming language. Its best use is data science and machine learning.
Its syntax is much easy to understand and remember than the other programming languages. It facilitates the developer with easily readable code and makes Python a beginner-friendly language in terms of learning it.
Also, it is worth mentioning here that python is the most popular programming language in 2021 for data science, machine learning, and artificial intelligence.
One of the biggest reasons behind this is that python has a list of libraries and frameworks, especially for machine learning that makes ML easy with Python programming language. Python libraries and frameworks for machine learning are more in number than for any other programming language.
I’m also sharing some of those ML libraries and frameworks in a list form below:
- Tensor Flow.
- Apache Spark.
- Open CV.
- Network X.
ii. GO programming language
GO is a statically typed and compiled programming language as well as a general-purpose programming language just like Python. It can also be used for machine learning.
GO is also known as “Golang” and it is developed by Google to fulfill any loopholes. It is a powerful enough and efficient programming language.
GO programming language is faster than Python and much better than it in a lot of ways as it can also be used for machine learning but still, Python is much better in the case of machine learning and artificial intelligence.
Also, it is difficult to find an online source for learning the Go programming language and its community is also much less than Python. It doesn’t mean that it can’t be used for ML, it can be greatly used for this job and with time it’ll grow and could get better.
According to a survey of stack overflow, it is the most highly paying programming language of today. So, you can have an idea about its importance and I’m also sharing its 8 best machine learning libraries with you which are given below:
Django is also a high-level Python framework for web development and it is free and open source. Django can help save a lot of development time as a lot of lengthy codes are already included in it and one can deploy it with the help of a line of code only.
Also, Django can be used at both the back-end and front-end. It can also be used for machine learning e.g. one can also use it for deploying a whole machine learning model. It is one of the most demanding backend frameworks today.
iv. Tensor Flow
Tensor Flow is an open-source software library for machine learning which is developed by Google. It is the best machine learning library available today.
We can do all our data science and machine learning work much easier with the help of Tensor Flow. It is built on Python, C++, and CUDE(Nvidia’s language for programming GPUs). Some of its best uses include:
- Image Recognition.
- Voice Recognition.
- Video Detection.
- Text based applications.
v. ML Kit for Firebase
It is actually a machine learning package offered by firebase as a service. It can be used for developing Android and IOS mobile applications and it is also easy to use powerful package for mobile development.
It is already being used in a lot of mobile apps because of its easiness, all you have to do is simply add it as a package and start working with it. ML Kit is gaining more and more popularity day by day in mobile app development because of its ease and convenience.
3. How much time does it take to learn Machine Learning?
In order to know the time duration for learning any kind of development, then it depends on some factors and as well as on the individual himself. These factors are all listed below:
- The interest of the learner.
- Prior development experience can play a key role in determining the learning time.
- Commitment towards a decision.
- Devotion towards your work.
- Scheduling your whole day for better time management.
The actual time that it can cost for learning the best programming language for machine learning
Now if you have all the factors in you then it can cost you around 3 months complete on average for learning and mastering Python programming language if you give your learning proper timing. But if you think that you have a few of the factors missing in you then it may cost you about 5-6 months for learning and mastering Python completely.
4. Best sources for learning almost any programming language online
Here, I’m going to share with you the top sources for learning any type of computer programming language and I also use these sources personally for learning any type of IT-related courses.
For anyone who wants to learn machine learning, the first thing that he should learn is Python programming language. It is the best programming language for machine learning. After reading this entire article you must be now well aware of all the necessary things that you should know before learning machine learning.
The purpose of discussing all the related concepts is to provide you with a proper understanding of Machine Learning and its best programming language.
Also, let me know in the comment section what do you think about all the stuff that I’ve discussed in this article?