As a developer or a person interested in Machine Learning and Artificial Intelligence, you can find out which programming language will be the best for you to start and which one is the most common in this part of IT.
2. Machine learning (ML) as the sphere of Artificial intelligence (AI) is not a new concept in
computer science. However, ML has been experiencing its expansion and popularity only in
recent years since it has been possible to use big data. Just think about how many data is
available to us today than ten years ago.
All of us know, almost all social networks use AI. For example, Facebook and Instagram
based on pages that user previously liked, generate page recommendations that might
appeal to a user. These recommendations come automatically, or by a program that is first
learned to recognize what a user likes, and then make recommendations to him to improve
the knowledge of a given area.
Which programming language is the best to work with
Machine Learning and Artificial Intelligence
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3. As a programmer or a person interested in this field of programming I will present you five
prominent languages in the Machine Learning sphere through analysis and comparison.
These are:
Python,
R,
Java,
Lisp,
Javascript.
Which programming language is the best to work with
Machine Learning and Artificial Intelligence
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4. Easy to learn, simple syntax and a lot of frameworks and libraries. These are the reasons
because Python presents one of the most popular languages. It is interpreted and
dynamically typed program language.
Python
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5. Within the field of data science and ML, Python is increasingly advantages compared to
other languages. The existence of a massive number of frameworks and libraries for
machine learning, easy writing, and a big community have influenced the fact that this
language is experiencing a real expansion in this area. Another thing I have to emphasize is
asynchronous work. That is in the ML’s context convenient when we have more data
sources.
Python
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6. Each of us must have had experience with purchasing products on Amazon. You could see
the product recommendations. These recommendations generate on our previous
purchases and product search, and it bases the Python ML model on it.
Google (Gmail) is one of the larger companies that use the TensorFlow Python framework
for the prediction of spam mail. TensorFlow has been developed by Google and accordingly
is used by several other “products” such as voice recognition and the similar.
Python
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7. R for many years is a synonym for data science. It is interpreted and dynamically typed
language.
If you have already programmed in another language, you can quickly understand how R
works. It does not take a lot of knowledge because R has lots of packages, libraries, and
materials that can help you in the learning process (like Python).
R Programming
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8. R is created for statistics and predictive analysis, and we mostly find its usage in data
science. Within ML, R is the most abundant in this field after Payton
R Programming
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9. Many large companies use R for data analysis, big-data modeling, and visualization. Some
of them are Google, Uber, the New York Times. R has wide usage in banking, especially in
fields for predicting different risks. In this domain, I would mention Bank of America and ANZ
Bank.
Facebook uses R for ML testing while Twitter created an R-language anomaly detection
library.
R Programming
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10. Java is compiled and strongly typed language. In programming, it’s a standard, and it’s not
falling for its popularity for years. Performance execution of the program is much better
compared to Python. But learning and coding are more complex.
Java
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11. This programming language can be a good choice for ML, especially for businesses that
bases on Java and need to be improved by including ML. However, heaving in mind that the
ML area itself is complex, Java can make difficulties in this field, even senior developers.
Because of this, Python and R are more dominant than in ML.
Java
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12. Numerous well-known companies use Java for server-side as one of the languages. Some
of these companies are YouTube, Amazon, eBay and LinkedIn.
Java
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13. Lisp is a family of programming languages, of which the most popular dialects are Clojure
and Common Lisp. Compared to other languages on this list, Lisp has the longest history.
Therefore, it had a lot of influence on the development of R, Python, and Javascript. It is
dynamically typed.
In the context of AI, Lisp was a popular language, but its AI concept differs from today’s
concepts and needs. Within the level of learning difficulty, Lisp is one of the harder
languages and is not recommended to beginners.
Lisp
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14. Lisp is a general-purpose language but has found its use most in the area of traditional,
symbolic AI.
Lisp
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15. ELIZA is a dialogue (talk) program developed with LISP. It is the forerunner of today’s
Chatbot app. As for the modern version, the use of ELIZA has not stopped, and you can use
it to create Chatbot intended for e-commerce sites.
Also, Grammarly uses Common Lisp.
Lisp
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16. Javascript with Node.js makes this language special in web development because of full-
stack features. Javascript is interpreted and dynamically typed language.
An essential element is that Javascript is easy to learn the basics. However, one must
remember that for the beginner’s understanding of the context of work is sometimes difficult
and requires a lot of attention. Indeed, this language belongs to a group easy to learn.
Javascript
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17. The use of Javascript is limited to web development only, and this distinguishes this language
from others on the list. I can say this feature is advantageous if your area of work and interest is
purely web. This language is used to dynamics and interaction of the website, then to build
standard web applications and progressive web applications.
Since Javascript is increasingly developing and thus extending the limits of its application, apart
from the above, it uses in data science and ML. The interest of the community for these spheres
is becoming more intense, which is a very positive fact.
Javascript
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18. In the front-end domain, there are rare companies that did not choose Javascript for their
primary language. I will only mention Wikipedia, WordPress, and Facebook. On the other
hand, except for front-end, LinkedIn and eBay, Javascript has been included among the
languages and back-end pages.
Javascript
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19. Languages with the highest amount of job offers
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20. Languages with the highest salary
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*To estimate the most paid technology we have taken the median salary for the last three
months. I must say that the results are impressive.
21. The easiest to learn languages
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