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Which Language is Best for Machine Learning?

Which Language is Best for Machine Learning?

If you’re new in the planet of machine learning, the toughest  area of  machine learning is deciding where to start out  . Whether you’re trying to refresh your machine learning skills or making a career transition into machine learning entirely, it’s natural to wonder which is  the sole language best for machine learning. With over 700 different programming languages in widespread use, and  having its pros and cons, discovering which is that the only language for machine learning is certainly a tough task. The good news, however, is that as you start your journey as a machine learning engineer, you’ll start to urge which programing language are becoming to be best fitted to a business problem you’re trying to unravel .
What is Machine Learning?
Machine learning could even be a subset of AI that gives computer systems with the power to automatically learn and make predictions supported the fed data. Predictions might be anything – whether the word “book” during a sentence means making a gathering or a paperback, whether a picture features a cat or a dog, identifying if an email could also be a spam or not. In machine learning, a programmer doesn’t write the code that instructs the machine learning system on the due to tell the difference between the image of a cat and a dog. Instead, machine learning models are developed that are taught the because of differentiate between a dog and a cat by training on large samples of knowledge (in this case, the system is fed with diverse and massive numbers of images labelled as cat and dog). the highest goal of machine learning is to let systems learn automatically without human intervention and perform actions accordingly.
Five Best Languages for Machine Learning
According to the industry experts at Springboard, there’s no best language for machine learning, each is good where it fits best. Yes, there is no single machine learning language because the sole language for machine learning. However, there are definitely some programming languages that are more appropriate for machine learning tasks than others.
Regardless of the individual preferences for a specific programing language , we’ve profiled five best programming languages for machine learning :
1. Python programming language: 
With over 8.2 million developers across the world using Python for coding, Python ranks first within the most recent annual ranking of popular programming languages by IEEE Spectrum with a score of 100. Stack overflow programing language trends clearly show that it’s the sole language on rising for the last five years.
2. R Programming Language:
With quite 2 million R users, 12000 packages within the CRAN open-source repository, on the brink of 206 R Meetup groups, over 4000 R programming questions asked monthly , and 40K+ members on LinkedIn’s R group – R could also be an incredible programing language for machine learning written by a statistician for statisticians. R language also can be employed by non-programmer including data miners, data analysts, and statisticians.
A critical an area of a machine learning engineer’s day-to-day job roles is knowing statistical principles so as that they’re going to apply these principles to big data. R programing language could even be a fantastic choice when it involves crunching large numbers and is that the popular choice for machine learning applications that use many statistical data.
3. Java and JavaScript:
Though Python and R still be the favorites of machine learning enthusiasts, Java is gaining popularity among machine learning engineers who hail from a Java development background as they don’t got to learn a replacement programing language like Python or R to implement machine learning. Many organizations have already got huge Java codebases, and most of the open-source tools for giant processing like Hadoop, Spark are written in Java. Using Java for machine learning projects makes it easier for machine learning engineers to integrate with existing code repositories.
4. Julia:
Julia could even be a high-performance, general-purpose dynamic programing language emerging as a possible competitor for Python and R with many predominant features exclusively for machine learning. Having said that it’s a general-purpose programing language and will be used for the event of all types of applications, it works best for high-performance numerical analysis and computational science. With support for all kinds of hardware including TPU’s and GPU’s on every cloud, Julia is powering machine learning applications at big corporations like Apple, Disney, Oracle, and NASA.
5. LISP:
Founded in 1958 by John McCarthy, LISP (List Processing) is that the second oldest programing language still in use and is especially developed for AI-centric applications. LISP could even be a dynamically typed programing language that has influenced the creation of the varied machine learning programming languages like Python, Julia, and Java. LISP works on Read-Eval-Print-Loop (REPL) and has the potential to code, compile, and run code in 30+ programming languages.
The best language for machine learning depends on the earth during which it’s getting to be applied, the scope of the machine learning project, which programming languages are utilized in your industry/company, and variety of other other factors. Experimentation, testing, and knowledge help a machine learning practitioner choose an optimal choice of programing language for any given machine learning problem. Of course, the sole thing would be to hunt out out a minimum of two programming languages for machine learning as this might assist you set your machine learning resume at the very best of the stack. Once you’re proficient in one machine learning language, learning another one is straightforward .
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