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Which language is best for machine learning *?
Top 5 Programming Languages and their Libraries for Machine Learning in 2020
- Python. Python leads all the other languages with more than 60\% of machine learning developers are using and prioritizing it for development because python is easy to learn.
- Java.
- C++
- R.
- Javascript.
Can we do machine learning Java?
Not only is it possible to use Java for machine learning and data science application development, but it is also the preferred option by many developers for a number of reasons, including: Java is one of the oldest languages used for enterprise development.
Should I learn C++ for machine learning?
C++ is more efficient than most other languages. You can control each single resources starting from memory, CPU and many other things. Most frameworks are implemented in C++under the hood, like TensorFlow, Caffe, Vowpal, wabbit and libsvm. Learning machine learning in C++ makes you a very desirable hire target.
What programming language should I start learning?
While python is popular, Java is another programming language that will enlist you with the skills needed to work in a data science role. Java is a high-level programming language and for this reason, is traditionally used for machine learning. Amongst other features, it is robust, object-orientated and architecture neutral.
Why is Python a good language for machine learning?
Simple and Consistent. Python is a simple language offering reliable code.
What language and IDE to use for machine learning?
1) Python. Python leads all the other languages with more than 60\% of machine learning developers are using and prioritising it for development because python is easy to learn. 2) Java. This programming language is the “Jack of all the trade” and continues to dominate over in the ML industry also. 3) C++. 4) R. 5) Javascript.
Which programming language is the most powerful?
Fortran, C/C++ are the most powerful programming languages. They are used to program the most powerful computers, super computers.