Machine learning is a very well known language in the field of computer science. Machine learning becomes popular and expanded in recent days because of its amazing applications and predictions. Now days almost all social media networks are using artificial intelligence such as Facebook and Instagram generate recommendations. These recommendations are coming automatically with the help of machine learning. Systems first learn a program to recognize what user likes and based on that it generates recommendations. In machine learning, selection of programming language, relevant data input and implementation of an appropriate algorithm, these things play a very important role. By analysis and comparison, there are few languages that play well with machine learning- Python, R, Java, Lisp, JavaScript. <\/p>\n\n\n\n
Python is a general-purpose and very popular programming language as it is easy to learn, having a simple syntax, open-source language. Python supports functional and object-oriented paradigms and it is the first language that got ML support by different tools and libraries. For Python developers, Tensor flow and Scikit are two popular libraries that are available.<\/p>\n\n\n\n
Application<\/strong><\/p>\n\n\n\n In the field of machine learning<\/a>, python is most useful compare to other languages as there is a number of frameworks and libraries for machine learning. Amazon is using the python machine learning model to generate product recommendations for the user. Another example is Google who uses a tensor flow python framework to predict spam mails.<\/p>\n\n\n\n Pros<\/strong><\/p>\n\n\n\n Easy to\nwrite<\/p>\n\n\n\n More no\nof libraries and framework<\/p>\n\n\n\n Huge\ncommunity<\/p>\n\n\n\n Cons<\/strong><\/p>\n\n\n\n Slow\nexecution speed<\/p>\n\n\n\n Not suitable for game and mobile development<\/p>\n\n\n\n R programming becomes popular in data science because of its statistical and functional algorithm features. R language is object-oriented, open-source, available on Github and supports different operating systems such as Windows, Linux, and OS X.<\/p>\n\n\n\n For understanding level, it is easy if you already know any other programming language. R has lots of packages and libraries that make it easy to learn and understand. <\/p>\n\n\n\n Application<\/strong><\/p>\n\n\n\n Uber, New York Times and Google are using R for data modeling and analysis. It also has its extensive use in the banking sector for a specific purpose. BOA is using it for prediction of risk. It is mainly used in data science<\/p>\n\n\n\n Pros<\/strong><\/p>\n\n\n\n A large no of libraries and framework<\/p>\n\n\n\n Cons<\/strong><\/p>\n\n\n\n Slow speed<\/p>\n\n\n\n Poorly written<\/p>\n\n\n\n Not useful for a beginner programmer<\/p>\n\n\n\n The most popular language in the world is Java and currently, there are almost 8 to 9 million Java developers in the world. It is a very standard language and that\u2019s the reason its popularity not getting decreased. Coding and learning of java are a bit complex than python but program execution is better.<\/p>\n\n\n\n Application:\n<\/p>\n\n\n\n Java is used in web development as well as in-game and mobile development. YouTube, Amazon, eBay, and LinkedIn uses Java for server-side<\/p>\n\n\n\n Pros<\/strong><\/p>\n\n\n\n Large\ncommunity,<\/p>\n\n\n\n Fast\nexecution time <\/p>\n\n\n\n Best\nchoice for game development, Mobile Applications<\/p>\n\n\n\n Cons<\/strong><\/p>\n\n\n\n Not beginner programmer-friendly<\/p>\n\n\n\n Need\nJVM to run. <\/p>\n\n\n\n Lisp has the longest history if compare to other programming languages. This is the reason it has an influence on the development of JavaScript, R, and Python. For learning purpose, Lisp is the most difficult language and not beginner-friendly<\/p>\n\n\n\n Application<\/strong><\/p>\n\n\n\n It is useful in are of symbolic Artificial Intelligence. It is also useful in the creation of chatbots for e-commerce sites. Grammarly also uses Lisp language.<\/p>\n\n\n\n Pros<\/strong><\/p>\n\n\n\n Fast\ncompilation time<\/p>\n\n\n\n Useful in solving a problem<\/p>\n\n\n\n Cons<\/strong><\/p>\n\n\n\n Not beginner programmer-friendly<\/p>\n\n\n\n Not enough libraries Not big community as the Python or Java has <\/p>\n\n\n\n In web development, JavaScript is used along with Node js. This is easy to learn a language but sometimes understanding the context of work becomes difficult for a beginner. <\/p>\n\n\n\n Application<\/strong><\/p>\n\n\n\n It has its\nlimited use in web development only, but it is used to build standard and\nprogressive web applications and it is also widely used in machine learning and\ndata science.<\/p>\n\n\n\n Pros<\/strong><\/p>\n\n\n\n Beginner-friendly<\/p>\n\n\n\n Full-stack<\/p>\n\n\n\n It\u2018s\nfast<\/p>\n\n\n\n Cons<\/strong><\/p>\n\n\n\n Need a basic understanding of JavaScript for using the Node.js platform<\/p>\n\n\n\n From the above topics, we can get the idea that there are several programming languages that support ML framework and libraries, but Python is the most popular language followed by other languages. If you want to learn machine learning, NearLearn providing the best machine learning training with python training in Bangalore. We offer the best python training in Bangalore<\/a>. If you want to know more about our courses and training contact www.nearlearn.com<\/a> or info@nearleran.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Which is the best programming language to learn machine learning? Machine learning is a very well known language in the field of computer science. Machine learning becomes popular and expanded in recent days because of its amazing applications and predictions. 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R Programming<\/strong><\/h4>\n\n\n\n
3. Java<\/strong><\/h4>\n\n\n\n
4. Lisp<\/strong><\/h4>\n\n\n\n
5. JavaScript<\/strong><\/h4>\n\n\n\n