Top 3 Programming Languages for Machine Learning || Univ_Techs



   In order to tackle with machine learning, you will have to learn few programming languages.




     The increasing demand for experts in machine learning in past few years has increased curiosity to know the programming languages which one can use in machine learning. But before discussing, the best programming languages for machine learning you must have brief information about the concept of machine learning.

What is machine learning?

     In the field of computer science, machine learning is a part of artificial intelligence that provides your computer an ability to learn to improve its performance with data, without being programmed exclusively. In today’s technical world machine learning is one of the fastest progressing concepts on which most of the tech giant companies are heavily investing to improve their merchandise.

     In 1959, Arthur Samuel used the words machine learning for the first time to explore the construction of algorithms that can be used to predict on data by overcoming static programming instructions strictly to make predictions and decisions on the basis of data. Machine learning is used today in a number of computing works where the use of explicit programming and designing algorithms is not feasible like detection of a data breach by malicious insiders or network intruders etc.

Best programming languages for machine learning

     In order to understand and work on machine learning, you will have to learn few programming languages. Some of the best programming languages used for machine learning are briefly discussed hereunder for your guidance.

 

Python

     Python has become a popular programming language because it can be used flexibly for various purposes. For machine learning, it contains specific libraries like numpy and scipy which enable your computer to learn linear algebra and kernel methods for machine learning. While working on algorithms of machine learning then this language is greatly used as it has relatively easy syntax. It is the best programming language for beginners.


R Programming

     This programming language was developed in Bell Labs as a modern version of S language. In order to provide flexibility in producing statistical models, R language is combined with lexical scoping. Several GNU packages available in R language make it a really powerful language for machine learning.

     One can use R language to create useful algorithms and easy statistical visualization of those algorithms by using R studio. The industry has recently recognized the importance of R language even if it is popular with academic researchers since long.

 

Lisp

     Lisp is the best language for the programmers who want to learn about the history and facts about the craft and practices used in programming just for the sake of fun. Some consider it as a miraculous tool for programming whereas some are of the opinion that no language has ever been invented for machine learning like this.

     In fact, artificial intelligence was also used before the invention of programming languages like Scala, Python and Haskell etc. lisp is mostly loved by hackers. It is used more by compilers than interpreters as supports efficient and fast coding. It collects garbage as it includes automatic memory manager.

Now,

 

JavaScript -  Also be a part of this one.

     Google’s TensorFlow framework for machine learning is built on the top of Javascript.

Comments

Post a Comment

Popular posts from this blog

Apple’s 'Create ML' || Univ_Techs

Image
      Apple announced a new feature for developers called Create ML . It Create machine learning models for use in your app. Create ML is a machine learning framework in Swift which can be used to train the machine learning models using native Apple technologies like Swift, Xcode, and Other Apple frameworks. This means machine learning is possible within Apple ecosystem without any third-party service.  Create ML technology has following features,.. A simple approach for training the model using images, texts, and tabular data Models still can be trained using complex algorithm if you are expert Machine learning models can be created using Xcode Playground, Swift, and native Apple framework The process of creating and training module can be automated using Swift scripts.      You train a model to recognize patterns by showing it representative samples. For example, you can train a model to recognize dogs by showing it l...
Read more

3 Best Frameworks For Machine Learning || UNIV_TECHS

Image
     If you are a beginner, check out our articles on ”Machine learning crash course” and “Machine learning specialization course”.      Each of these Frameworks is different from each other and takes much time to learn, during the time of making this list we took care of features other than the basic ones, User base and community & support was one of the most important parameters. Some frameworks are more mathematically oriented, and hence geared more towards statistical than neural networks. Some of them provide a rich set of linear algebra tools; some are mainly focused only on deep learning. 1. TensorFlow TensorFlow an open source software library for data-based programming across a range of tasks, which was developed by Google Brain team and initially released on 9th of November 2015, though the stable release was made available only on 27th of April this year. It is capable of doing regressions, classificat...
Read more

Pony – The new programming language || Univ_Techs

Image
Pony is an open source, object-oriented, actor-model, capabilities-secure and high-performance programming language.   There are a lot of programming languages out there in real world for different-different tasks. As the technology is evolving, new programming languages are emerging to work with cutting-edge technologies. Google’s GO language and Mozilla’s Rust are the solid examples of new and efficient programming languages which are becoming a lot more popular among the developers. These languages also set an example for developers and enterprises to create or contribute on a new language instead of relying on the old and inefficient programming. The process may take time but make it an open source project often help for faster development. Wallaroo , a distributed data processing framework for building high-performance streaming data applications couldn’t handle the high throughput and low-latency workloads. So the developers had to come...
Read more