{"id":17031,"date":"2022-06-15T09:19:08","date_gmt":"2022-06-15T12:19:08","guid":{"rendered":"https:\/\/mistersates-import.com.br\/loja\/?p=17031"},"modified":"2023-01-08T17:23:10","modified_gmt":"2023-01-08T20:23:10","slug":"top-programming-languages-for-ai-engineers-in-2021","status":"publish","type":"post","link":"https:\/\/mistersates-import.com.br\/loja\/top-programming-languages-for-ai-engineers-in-2021\/","title":{"rendered":"Top Programming Languages for AI Engineers in 2021 by Claire D  Costa"},"content":{"rendered":"<p>The R programming language appeared in the early 1990s and is a part of the GNU Project. It is widely used in data analysis and, as a rule, is targeted for solving general ML problems such as regression, classification, and decision tree formation. Like Python, it is open-sourced, easy to install, configure, and use as packages. Artificial intelligence is one of the core technologies of the future, so it is not surprising that AI experts earn a lot.<\/p>\n<ul>\n<li>They\u2019re both object oriented, supporting data abstraction using classes, objects and inheritance.<\/li>\n<li>Its excellent user-friendliness and flexibility to function on a wide range of platforms make it a favorite among software developers.<\/li>\n<li>It can manage front and backend functions, from buttons and multimedia to data storage.<\/li>\n<li>Due to the flexible nature of Python, it can be used for AI development.<\/li>\n<li>C++ is still used to develop operating systems, file systems, and other system-level applications.<\/li>\n<li>Scala supports many JVM libraries and also shares readable syntax features with other popular programming languages.<\/li>\n<\/ul>\n<p>It can help develop everything from data analysis to natural language processing, deep learning, machine learning and so much more. Python tends to top the list of best AI programming languages, no matter how you slice it up. The fact that it has been around for so long and has consistently performed well as a general purpose programming language that can be used for front-end or beck-end development.<\/p>\n<h2>What platform will it run on?<\/h2>\n<p>Though Rust doesn&#8217;t have the established machine learning ecosystem that some other languages do for machine learning, several ambitious projects have emerged from it. If you&#8217;re looking for a high-performance, fast, and safe software development language, Rust is a good option. Developers who are familiar with C++ find Rust contains similar syntax, although it offers memory protection and prevents garbage collection.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"301px\" alt=\"Best Programming Languages to Choose for AI\"\/><\/p>\n<p>NLP is what smart assistants applications like Google and Alexa use to understand what you\u2019re saying and respond appropriately. Machine learning is a subset of AI that involves using algorithms to train machines. Really, if you\u2019ve ever worked with a digital device that didn\u2019t know how to tell up from down or do a simple task, you\u2019d probably quite like artificial intelligence. And once you know how to develop artificial intelligence, you can do it all. It\u2019s a great course to learn AI on Coursera, suitable for people from different domain and tech. This course covers variables, loops, functions, and even a little bit about debugging tools are covered in this course.<\/p>\n<h2>What Is the Best Programming Language for AI?<\/h2>\n<p>The most common prolog environment is the processing of natural languages. This language is rather common when creating research and academic projects, especially those which utilize artificial intelligence. R is an open-source language with numerous packages which allow machine learning, offer analytical tools and data mining.<\/p>\n<div itemScope itemProp=\"mainEntity\" itemType=\"https:\/\/schema.org\/Question\">\n<div itemProp=\"name\">\n<h2>Is Python or Java better for AI?<\/h2>\n<\/div>\n<div itemScope itemProp=\"acceptedAnswer\" itemType=\"https:\/\/schema.org\/Answer\">\n<div itemProp=\"text\">\n<p>Python is more suitable for machine learning, artificial intelligence and data science.. AI developers prefer Python over Java because of its ease of use, accessibility and simplicity. Java has a better performance than Python but Python requires lesser code and can compile even when there are bugs in your code.<\/p>\n<\/div><\/div>\n<\/div>\n<p>A good example is TensorFlow.js, which runs directly within the browser and opens up many possibilities for web developers. Building your knowledge of browser-based AI applications can help you build next-generation AI-focused browser tools. According to GitHub\u2019s rankings, JavaScript is the most popular programming language in the world. That shouldn\u2019t come as a surprise since it\u2019s a significant contributor to the modern web, responsible for powering much of the interactivity found in the websites we use every day. It\u2019s a reliable option for any web developer because it\u2019s relatively easy to learn, and is a promising choice for beginners learning AI or general web development.<\/p>\n<h2>Features of Julia<\/h2>\n<p>Thanks to its Virtual Machine Technology, Java is exceedingly easy to implement on a variety of platforms. This means that once you AI application is written and compiled on one platform, you can run it on other platforms easily with the write once run anywhere methodology. That is why a majority of the open-source big-data stack is written in Java Virtual Machine. Artificial intelligence programming hinges on quick execution and fast runtimes, both of which happen to be Java\u2019s superpowers. It offers excellent production value and smooth integration with all key analytic frameworks. Lucero is a programmer and entrepreneur with a feel for Python, data science and DevOps.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width=\"307px\" alt=\"Best Programming Languages to Choose for AI\"\/><\/p>\n<p>Currently being maintained by the R Development Core Team, R is the implementation of S programming language and aids in developing statistical software and data analysis. With the boom in AI, the need for efficient and skilled programmers and engineers skyrocketed along with improvements in programming languages. C++ is a flexible programming language based on object oriented principles, meaning it can be used for  AI. The syntax of the programming language is not easy to understand, however, making it hard to learn, especially for beginners. This kind of language provides a major advantage over others for the automation of tasks that usually require human intervention and the writing of learning algorithms.<\/p>\n<h2>Outsourcing Software Development to Bolivia: Why You Should Hire Bolivian Developers<\/h2>\n<p>Relevant libraries are also limited, not to mention programmers to advise you.  Its AI capabilities mainly involve interactivity that works smoothly with other source codes, like CSS and HTML. It can manage front and backend functions, from buttons and multimedia to data storage. Prolog\u2019s built-in list handling is recursive, allowing for problem solving, analytics and overall improved application performance.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"306px\" alt=\"Best Programming Languages to Choose for AI\"\/><\/p>\n<p>Only a handful of programming languages remain and serve the community out of countless. The programming languages we\u2019ll be discussing presently have stood the test of time. In terms of AI capabilities, Julia is great for any machine learning project. Whether you want premade models, help with algorithms, or to play with probabilistic programming, a range of packages await, including MLJ.jl, Flux.jl, Turing.jl, and Metalhead.<\/p>\n<h2>Python: The Definitive Business Guide For Digital Entrepreneurs and Product Owners<\/h2>\n<p>The next popular framework is PyTorch (Python, C++, CUDA), an open-source machine learning framework written in Python. It was developed by Facebook, introduced in 2016, and six months later was opened to third-party developers. It is convenient for rapid prototyping in research for newbies, pros, and small projects.<\/p>\n<div style='border: black dashed 1px;padding: 10px;'>\n<h3>8 Best Programming Languages to Learn for SEO &#8211; Search Engine Journal<\/h3>\n<p>8 Best Programming Languages to Learn for SEO.<\/p>\n<p>Posted: Mon, 19 Dec 2022 09:15:38 GMT [<a href='https:\/\/news.google.com\/__i\/rss\/rd\/articles\/CBMiTmh0dHBzOi8vd3d3LnNlYXJjaGVuZ2luZWpvdXJuYWwuY29tL2Jlc3QtcHJvZ3JhbW1pbmctbGFuZ3VhZ2UtdG8tbGVhcm4vNDczNzAxL9IBAA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p>Its abstraction readiness mitigates the need for spending large amounts of time debugging errors. You can chalk its innocent fame up to its dynamic interface and arresting graphics for data visualization. <a href=\"https:\/\/metadialog.com\/blog\/best-programming-languages-to-choose-for-ai\/\">Best Programming Languages to Choose for AI<\/a> C++ has been around for quite some time and is admittedly low-level. This is how the best tools create and orchestrate campaigns and gather insights to improve your effectiveness as a brand.<\/p>\n<div itemScope itemProp=\"mainEntity\" itemType=\"https:\/\/schema.org\/Question\">\n<div itemProp=\"name\">\n<h2>Which programming language is best in 2023- 2025?<\/h2>\n<\/div>\n<div itemScope itemProp=\"acceptedAnswer\" itemType=\"https:\/\/schema.org\/Answer\">\n<div itemProp=\"text\">\n<p>These are the best programming languages for the future &#8211; Java, Python, Swift, JS, Flutter, and Kotlin. Most of web development companies have been focusing on these because of their futuristic approach.<\/p>\n<\/div><\/div>\n<\/div>\n<p>Julia is a very high-performing language and is perfect for developers with a background in Python and R. Its most popular libraries are DataFrames, Distributions, and JuMP. If you\u2019re interested in pursuing a career in artificial intelligence , you\u2019ll need to know how to code. This article will provide you with a high-level overview of the best programming languages and platforms for AI, as well as their key features. Python is an ideal programming language used for Machine Language, Natural Processing Language , and Neural networks, etc. Due to the flexible nature of Python, it can be used for AI development.<\/p>\n<ul>\n<li>Talent Cloud is the best alternative to IT service firms for hiring software development teams&#8230;<\/li>\n<li>But some of them have been more convincing to create AI solutions over the years.<\/li>\n<li>Founded by John McCarthy and his peers, AI aims to make robots and computers capable of completing tasks without human intervention.<\/li>\n<li>Its rapid processing speed makes it of particular interest to complex machine learning models as it allows them to run with high efficiency.<\/li>\n<li>That said, it\u2019s also a high-performing and widely used programming language, capable of complicated processes for all kinds of tasks and platforms.<\/li>\n<li>Julia is especially helpful for scientific computing and data analysis.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The R programming language appeared in the early 1990s and is a part of the GNU Project. It is widely used in data analysis and, as a rule, is targeted for solving general ML problems such as regression, classification, and &hellip; <a href=\"https:\/\/mistersates-import.com.br\/loja\/top-programming-languages-for-ai-engineers-in-2021\/\">Readmore<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_joinchat":[]},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/mistersates-import.com.br\/loja\/wp-json\/wp\/v2\/posts\/17031"}],"collection":[{"href":"https:\/\/mistersates-import.com.br\/loja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mistersates-import.com.br\/loja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mistersates-import.com.br\/loja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mistersates-import.com.br\/loja\/wp-json\/wp\/v2\/comments?post=17031"}],"version-history":[{"count":0,"href":"https:\/\/mistersates-import.com.br\/loja\/wp-json\/wp\/v2\/posts\/17031\/revisions"}],"wp:attachment":[{"href":"https:\/\/mistersates-import.com.br\/loja\/wp-json\/wp\/v2\/media?parent=17031"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mistersates-import.com.br\/loja\/wp-json\/wp\/v2\/categories?post=17031"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mistersates-import.com.br\/loja\/wp-json\/wp\/v2\/tags?post=17031"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}