Programming language for Artificial intelligence and Machine Learning

There are so many programming languages used in artificial intelligence but python is the most efficient and suitable language for it. Arthur Samuel first coined the term machine learning in the  year 1959 . If we go to the depth of machine learning first we need to know why machine learning is important and what are the needs for machine learning.

 What is machine learning?

     "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if  it's performance at tasks in T, as measured by P improves with experience E" . 

     In simple terms machine learning of the subset of Artificial Intelligence, which provides machines the ability to learn automatically and improve the experience without being an exclusive program to do so.

    In the sense it is like a practice for machines to understand the problem and solve it by gaining their own and the ability to think based on the algorithm is fed into it.  

    But here is also a question that might click in your mind: how can a machine think or take their decision by itself . 

   So you need to know that machine work is similar to the human mind if you feed a good amount of data in so it will automatically learn how to manage it, process it, analyze it with the use of machine learning algorithms.

Let's look at the language that we can use in Artificial Intelligence.

1. Python:

              Python was created by Guido Rossum in 1989 and it is very easy to learn and understand. One of the most important languages for Artificial intelligence. For it is an object oriented programming language. Python is an interpreted, object oriented high level programming language with dynamic semantics. 

Somme features of python

•  One of the easiest language
•  ‌It has free and open source
•  ‌High level language
•  ‌In it we don't have to need to worried about memory a location
•  ‌It can be used in any platform like Linux, windows, Microsoft ,etc.

  2. R (programming language):

 Besides python language R language is used to analyze and manipulate the data . 

   3. Java:

   If we take Java artificial intelligence programming, it is mostly used to create machine learning solutions, neural networks, search algorithms, genetic programming and multi-robot systems. Java is object-oriented and scalable, which are must-have features for Artificial Intelligence projects.

  4. Lisp:

           It is particularly suitable for Artificial Intelligence programs, as it processes symbolic information effectively.

              Common Lisp originated, during the 1980s and 1990s, in an attempt to unify the work of several implementation groups that were successors to Maclisp, like ZetaLisp and NIL (New Implementation of Lisp) etc.

It serves as a common language, which can be easily extended for specific implementation.

5. Prolog:

        It is a logic programming language associated with artificial intelligence and computational linguistics.

 6. C++:

   C++ is the fastest programming language in the world. Its ability to talk at the hardware level enables developers to improve their program execution time. C++ is extremely useful for Artificial Intelligence projects, which are time-sensitive. Search engines, for example, can utilize C++ extensively.

In Artificial Intelligence, C++ can be used for statistical Artificial Intelligence techniques like those found in neural networks. Algorithms can also be written extensively in the C++ for speed execution, and AI in games is mostly coded in C++ for faster execution and response time.

 7. Java script:

       There's nothing in the JavaScript world that opens up GPU level of performance for deep learning. There are decent libraries (such as Synaptic) that can train moderate neural networks well. All in all, JavaScript has the characteristics of a great Artificial Intelligence language: It's built for security.

 All though learning all kinds of language concussion that python is the most easiest and efficient  language for Artificial intelligence .

 Need for machine learning

• Cloud data
• IOT
• Social media

In today's era we are generating so much data in the research it has found that 

" Over 2.5 quintillion bytes of data are created every single day and it's only going to grow from there , by 2020 it's estimated that 1.7 MB of data will be created by every person on earth. "

 The availability of data is Finally possible to build a productive model that can study and analyze complex data you find useful inside and deliver more accurate results.

            You need to know about the most important thing for Artificial Intelligence is data and also important for machine learning and deep learning . 

            For  all the technical problem data is the solution we just need to know about how to handle the data. Through machine  learning, deep learning, artificial intelligence we can learn it.

 Some reasons why machine learning is important

• Increase in data generation.
• Improve decision (improve algorithm).
• Uncover pattern and trends in data.
• Solve complex problems.

      Machine learning is very important at present because we are facing a lot of issues that we are generating lots of data and we have to handle this data. In this way machine learning is so important.