Home / Blog / Artificial Intelligence / Must Know Programming Languages To Become A Successful AI Professional
Must Know Programming Languages To Become A Successful AI Professional
Meet the Author : Mr. Bharani Kumar
Bharani Kumar Depuru is a well known IT personality from Hyderabad. He is the Founder and Director of Innodatatics Pvt Ltd and 360DigiTMG. Bharani Kumar is an IIT and ISB alumni with more than 18+ years of experience, he held prominent positions in the IT elites like HSBC, ITC Infotech, Infosys, and Deloitte. He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence and Business Management. Bharani Kumar is also the chief trainer at 360DigiTMG with more than Ten years of experience and has been making the IT transition journey easy for his students. 360DigiTMG is at the forefront of delivering quality education, thereby bridging the gap between academia and industry.
Table of Content
One of the modern world's most rapidly rising industries is artificial intelligence. Making computers as intelligent as people is the goal of the engineering field known as artificial intelligence. You need to be proficient in at least one of these programming languages in order to enter this field right away as a professional.
Artificial intelligence is used on most social networks. For instance, Facebook and Instagram pages employ artificial intelligence to design a homepage just for you. These programmes are designed to figure out what the user enjoys and then offer suggestions to improve the user experience. We can create a programme that can learn how to respond to a certain need by using a programming language.
Click here to explore 360DigiTMG.
.png)
-
Python
One of the most recently created languages, Python is simple to learn, has a large number of frameworks, and libraries.
Usage
Python may be used to create both web apps and standards. It has a broad use and is applicable to both data science and artificial intelligence.
In the realm of data science, Python has several advantages over other languages. The main distinction is that it has a significant number of well-known works, libraries for convenient authoring, and a vast community to support one another. This is the main driver of Python's significant growth in the artificial intelligence space.
Businesses that employ it
Python is used by businesses like Amazon, Flipkart, and other online retailers. Python is used to return all of the different suggestions that you receive from the website's homepage. Google use the Python TensorFlow framework to identify potentially spammy emails. Google first developed TensorFlow, which is currently utilised by many other companies, including speech recognition software.
TensorFlow, the most well-known Python framework, uses a variety of artificial intelligence frameworks that can be built utilising the language's vast collection of libraries and frameworks. Deep learning also makes use of it. The majority of English is utilised in software for detection and predetermined recommendations, such speech and video recognition.
TensorFlow is used to create chatbots. Numerical algorithms are also available in the Scikit library and can be utilised. Python frameworks may be used for face recognition, handwritten number recognition, and other tasks.
Pros
- Large community
- Easy to write
- Lots of libraries and frameworks
Cnos
- Mobile development isn't supported
- Slow execution
-
R Programming
If you have experience programming in another language, you can rapidly grasp this straightforward language. Libraries and a variety of products and resources are available there to aid in learning.
Use
It is employed in statistics and predictive analysis. It is the second-most crucial language for machine learning after Python.
Businesses that employ it
R is commonly used in businesses for large data modelling and data analysis. It is utilised by businesses like Google, New York Times, Aishwarya, and Uber. R is used in the banking industry and to forecast various hazards. It is commonly used by ANZ Bank and Bank of America.
Twitter has developed a R language library, whereas Facebook is mostly used for machine learning testing. The majority of machine learning testing is done on Facebook, however Twitter has developed a R language library that looks for abnormalities.
Various Artificial Intelligence Frameworks that might be constructed with Language
The Mlr package is used the most frequently. The only area where Dmlc XGBoost differs from it is performance. Dplyr and Ggplot are two separate libraries that are crucial for data research.
Dplyr, a package for R, makes manipulating data simple. One of its key applications is data decomposition. The visualisation is done using a graphical representation and ggplot2 live video.
Pros
- Contains lots of libraries as well as frameworks
- Good for data science and statistics
Cnos
- Not at all beginner-friendly
- Even slower than Java and python
- Poorly written
-
Java
Java, one of the compiled languages with the highest levels of retention, dominated the industry with performance and standards for many years. When it comes to execution, it is far superior to Python.
Uses
The generic language Java is used extensively in a wide range of applications. Java has a position in every programme on the market, from game creation to mobile and online apps.
This language is a fantastic choice, especially for machine learning in a company that uses Java for its applications and has machine learning as a goal for progress. R and Python are more often used in machine learning than Java because of Java's potential for being a very difficult language to work with.
Businesses that employ it
Various multinational companies use Java as a server-side language. The companies such as YouTube, eBay, Amazon as well as LinkedIn all use Java.
Various Frameworks which can be built for Artificial iIntelligence using the Language
Java is used as a server-side language by several international corporations. Java is used by businesses like YouTube, eBay, Amazon, and LinkedIn.
As the preferred deep learning library for a long now, Deeplearning4j is used by many frameworks that may be constructed for artificial intelligence using language pattern recognition. For image, face, word, or speech recognition, it performs incredibly well.
Massive online analysis (MOA) and Weka are two important libraries that contain a sizable number of tools as well as algorithms. Most experts strongly endorse both of these libraries, which are typically used together. These libraries are extensively used in both recommendation systems and data science.
Java may be used to play games using artificial intelligence, such chess or tic tac toe. Some teams are permitted to learn from user input utilising Java. It has the ability to spot patterns and reflect them back to the user.
Pros
- Wide community
- Used in developing games
- Mobile applications are chemistry developed
- Fast execution and faster than Python
- Needs JVM
- Not beginner-friendly
-
Lisp
It is a grouping of programming languages that are connected in many ways. The two that are most well-known are Clojure and Common Lisp. Long history exists for Lisp. It significantly affects the development of other languages, like Python, R, and JavaScript. It has dynamic typing.
When it comes to artificial intelligence, Lisp is a highly well-liked language. Today's artificial intelligence differs from that of the past in terms of concepts and requirements. It is one of the hardest languages to master, thus novices are not at all advised to start with it.
Use
Despite being a general-purpose language, it has a wide range of uses, mostly in artificial intelligence.
Businesses that employ it
A Lisp-based programme called ELIZA was created. It is typically used in conversation. Even the internet grammar checker Grammarly makes use of common Lisp. The majority of chatbots required for e-commerce websites use Lisp.
Different Artificial Intelligence Frameworks that Can Be Built Using the Language
Artificial intelligence typically makes the most use of Lisp. Python and Java are employed in fields like deep learning or machine learning, respectively. However, Lisp is capable of handling these contemporary demands. This is solely due to the absence of support for sophisticated libraries.
Regardless, Lisp is crucial to comprehending the conventional idea of artificial intelligence.
Pros
- Extremely fast
- Reliable
Cnos
- Not beginner-friendly
- Doesn't have many libraries
- Lisp community isn't that big
-
JavaScript
Programming language for any need in the web development industry. One of the most adaptable languages is formed by its entire feature set and Node.js loading. It is dynamically interpreted and typed.
One of those languages that is really simple to learn yet difficult to master is JavaScript.
Use
This language is distinct from all the others since it is exclusively used primarily for web development. This is your language if your focus is solely on web development. It may be fully utilised to create web apps.
In addition to the aforementioned, it is also in demand in data science and machine learning. It is a language that is growing at a rapid rate.
Businesses that employ it
There aren't many businesses that haven't employed JavaScript in the coding for their front end. Among them are businesses like Wikipedia, Facebook, and WordPress. Only a few businesses, like eBay and LinkedIn, have adopted it for their back end.
Various Artificial Intelligence Frameworks that might be constructed with Language
There are a tonne of JavaScript frameworks and libraries available, and Facebook and Google have created a handful of them. Dialogue Flow has gained popularity in JavaScript-based machine learning. It is neither a library nor a framework. It is actually a potent artificial intelligence-based technology that was first developed by Google. This is often used to teach computers for human-computer interaction. For networks like Twitter, Slack, and others, a chatbot may be created with ease. It may be coupled with Angular to create chatbots for online apps more quickly and effectively.
Pros
- Full-stack
- Beginner-friendly
- Extremely fast
Cnos
- Requires a good knowledge from JavaScript to handle Node.js platform
- Extremely confusing for beginners
The languages are superior to one another statistically. Each has a distinct purpose and a unique position in artificial intelligence.
Click here to learn Data Science Course, Data Science Course in Hyderabad, Data Science Course in Bangalore
Data Science Training Institutes in Other Locations
Navigate to Address
360DigiTMG - Data Science, Data Scientist Course Training in Bangalore
No 23, 2nd Floor, 9th Main Rd, 22nd Cross Rd, 7th Sector, HSR Layout, Bengaluru, Karnataka 560102
1800-212-654-321
