Programming Languages used in Machine Learning!

 


Machine learning is a complex yet rewarding field and plenty of data experts are dedicating their career to this domain. ML and artificial intelligence go hand in hand so if you are new to this arena, you need to sign up for a course to advance your learning. But before you jump all in, there are particular skills that you need to develop for a smooth transitioning. The foremost step is to find out which are the best programming languages for ML. But before that, let us understand the basics first.

What is machine learning?

It is a subset of AI and a study of computer algorithms that are capable to learn on their own. Although they begin with basic instructions from a programmer, these algorithms learn to advance on their own. They fulfill this by taking in more data and forming new patterns and identifying trends.

Where is ML used?

The main application of ML is to create programs that are not practical for humans to handle. This is because there is a huge amount of data to sort through and it would take someone months to fulfill it. ML is used for bettering a computer’s vision so it can make better sense of the data being fed to it. This practice is highly useful in the medical domain as AI can be used to make better predictions regarding a patient’s medical history for quick diagnoses. Navigation systems like self-driving cars and drones, preventing credit card fraud, solving difficult mathematics problems, are some of the major AI uses along with plenty of other benefits.

Skills Important for ML

If you decide to enter this field, you need to develop some analytical skills along with completing artificial intelligence course. You should be familiarized with at least one coding language. ML means manipulating data in specific ways to derive desired outcomes and to do that you need to know the internal mechanism behind AI and ML concepts. You would be spending more time writing code than creating statistical models which means mastering a language comes secondary to mastering ML concepts.
There is no one correct language that you should learn, as you can continue to expand your knowledge as you continue to gain experience.
  1. R: It is a functional language that is used for data analysis and quite popular with statisticians and academics. Its strength is the large number of extension packages that allow users to carry out specific statistical procedures. R is mainly used to carry out Machine Learning analysis in scientific fields, bioinformatics, and ecology domains.
  2. C++: It is a general-purpose language that has proven its performance for critical jobs. C++ is excellent for memory manipulation and can speed up the process effectively. It is a perfect language to carry out AI and ML tasks to sort a huge amount of data. C++ is good for quick prototyping and still remains one of the top choices for data analysts and machine learning engineers.
  3. Java: Its syntax is quite similar to C++ and it is used to build applications that can run on any platform. Java is also often used in fields like Cybersecurity, network, and fraud detection. Various big frameworks like Hike, Spark, and Hadoop are all Java-based that have great application in the field of ML. Hence, tech giants like LinkedIn, Twitter, and Facebook all utilize Java on a daily basis. Tasks like data classification, analysis, regression, and clustering are all managed using Java.
  4. JavaScript: It has a simple syntax that makes it easy to learn. It can handle both front end tasks and server-side operations. It is utilized as an API for building apps for higher functionality. There are numerous JavaScript libraries that provide better flexibility and computing power to retain or run ML models.
  5. Python: It has similar applications to Java and allows beginners and experts to train ML algorithms with fewer efforts. Python is often used for less scientific and less enterprise focused areas like natural language processing and sentimental analysis.

Begin your learning today

If you want to gain expertise in this field then you need to join the best machine learning bootcamp. SynergisticIT has a dedicated team of experts that provide every candidate job-oriented training along with giving hands-on practice of how to apply ML algorithms in real life. So this is the time to fast track your career in this emerging field and be eligible to earn higher salaries than your competitors.

Location: United States

Comments

Post a Comment

Popular posts from this blog

The Impact of Coronavirus on Machine Learning Conferences

Image
The year 2020 brought a lot of changes in all our lives due to the Coronavirus pandemic, as all our routines got disrupted. From businesses to education to transportation, everything came to a halt. That was the reason that machine learning conference like ICML is happening virtually this year. This would further help curb unwanted travel reducing the chances for participants to acquire the virus. Running a virtual conference does have its challenges but with a little preparedness, one can be ready to tackle all the challenges. It can also be a great learning experience for everyone since it is happening virtually for the first time. Here are some of the Covid-19 observations that impact machine learning conferences: This virus is far more deadly than MERS or SARS and that is what makes it more unpredictable since it gets unnoticed among so many people. Some experience mild symptoms that often lead to late diagnosis. The virus can be prevented from further spreading by imposing trave
Read more

Everything You Need To Know About The MERN Stack!

Image
  Web development is a vast field with an array of bifurcations from front end, back end, and full-stack development. The MERN stack is the most commonly used set of technologies for web development. It is shorthand for MongoDB, Express, React, and Node.js. They are JavaScript-based open-source components that provide an end to end framework for coders to work in. Because of the ease and benefits of its usage, more and more programmers are enrolling in Mern stack bootcamps to become successful web developers. Let’s take a closer look at all the four components that make the Mern stack: MongoDB It is a document-based database that has the flexibility that a coder needs with indexing and querying. It helps store data in flexible, JSON-like documents in the form of tables and columns that can be further changed as per the requirements. Why use it: MongoDB has a quick response and is highly scalable. It uses JavaScript which is a widely used and popular language; hence it increas
Read more

Begin Your Data Science Journey The Right Way!

Image
  Data science is a rewarding and attractive field to work in nowadays. There are so many resources available to begin data science training but there is still a huge gap in demand, because of which this is the perfect time to learn this skill for better employability. Knowing how to begin your career in data science can be a little tough to understand sometimes, especially if you don’t have any coding experience or previous knowledge. Since this domain requires a lot of hard work and attention, it is good to have guidance about which language to learn first. How to begin your journey? Just like cooking or singing, you will have to learn data science by actually doing it. In simpler terms, you need to spend time-solving data problems using suitable tools. For beginners, following a project-based approach is recommended, as it covers data analysis, cleaning, and visualization. There are various online libraries that have built-in features to help coders practice exploratory data analysi
Read more