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The Top AI Programming Languages For Beginners – How To Get Started

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This guide is designed for beginners. Discover the most popular languages and their applications in AI. Learn about main packages, roles they play, and the resources you can use to get started.

Many beginners want to be involved in the AI revolution. The first step is to choose the right programming languages.

In this post, I will introduce you to 10 of the most popular AI programming languages. I will also discuss how they are used by AI, highlight the top packages and libraries of each language, discuss the AI course, and provide resources that can help you get started.

AI programming languages are used to create applications that simulate human intellect. These languages allow the creation of algorithms that can learn from data and make decisions. Each language has its own libraries and frameworks that help to develop tasks like speech recognition, data interpreting, and autonomous driving.

It is important to choose a programming language that offers libraries for machine learning, data analysis, and other tasks. Python, for example, is known for libraries such as TensorFlow, PyTorch, and R, which are used for statistical analysis.

AI programming languages are the foundation of intelligent systems. They combine code with the ability to perform complex AI-specific tasks.

Here is my list of the top 10 AI programming languages in 2024. Python is the clear leader of this list.

1. Python

Python is the most user-friendly and popular programming language for AI. Python's syntax is clear, and it has a wide variety of libraries and packages.

TensorFlow, PyTorch, and other leading platforms help us create powerful AI models. Libraries such as Scikit-Learn are helpful for machine learning tasks. Python is the best choice for AI development because it combines advanced features and convenience.

What is the use of Python in AI? Python's comprehensive range of AI applications is used widely.

Top Python AI libraries and packages –

NumPy can easily handle complex mathematical structures

Pandas provides data structures for users, such as DataFrames, to analyze and manipulate data.

Matplotlib is a tool for creating animated and interactive graphs.

Scikit-learn offers a variety of tools and algorithms to support machine learning.

TensorFlow – Google's brainchild is a solid foundation for building and implementing neural networks.

Python roles for AI

Python is essential for AI professionals. It provides useful toolsfor a wide range of roles, from computer vision specialists to machine learning engineers. You can learn more about improving your skills by taking our courses on how to become a data scientist, how to become a data engineer, and the machine-learning engineer track. Here are some AI jobs that utilize Python –

Machine learning engineers are responsible for developing and implementing machine-learning models using Python libraries, such as TensorFlow, PyTorch and Scikit-Learn.

Data scientists use Python to perform tasks such as data cleaning, manipulation, and visualization using libraries such as Pandas and Matplotlib.

Engineers in natural language processing build and deploy systems that can understand and process human language for tasks such as machine Translation.

Computer vision engineers enable machines to analyze visuals efficiently. TensorFlow libraries provide functionality for video processing tasks.

Researchers use Python for prototyping and implementing new AI algorithms. Python's library and packages are used in a wide range of science fields.

Python Resources to Get Started

Python is easy to use, which makes it popular among beginners. You can start by choosing from our tutorials, blog posts, or courses.

Learn Python

Introduction Python

Intermediate Python

Data manipulation using pandas

Machine Learning Fundamentals with Python

2. R programming

R is a program for statistical analysis that includes data cleaning, visualization, interpretation, machine learning, and statistical modeling.

How can R be used in AI? R is a powerful statistical tool, and the data visualization tools it offers have made it an attractive option for developing models and prototypes of machine learning algorithms.

Top R AI libraries and packages –

Tidyverse is not one library. It's a collection of packages that work together seamlessly on data science tasks.

caret is an all-in-one solution for machine learning in R. The interface provides a unified user interface for different machine learning algorithms. Users can easily train, tune and evaluate models.

XGBoost is a powerful tool for gradient boosting. This popular machine-learning method is known for its accuracy.

randomForest As its name implies, randomForest implements a random forest algorithm. This is a popular ensemble-learning technique that combines predictions from multiple decision trees.

IML – This framework provides a framework for building statistical models in R.

Roles that AI uses R

R is essential to specific AI niches, especially where analysis and statistical expertise are crucial. This versatile language is used in a variety of AI jobs, including data science and bioinformatics. Its powerful statistical and visualization tools are utilized in each. Here are some AI jobs that utilize R –

Data scientist (specialist in R) – While Python is widely used for data science, R continues to be a key player when it comes to tasks that require statistical analysis and model building.

AI researcher (focus on statistical modeling). Researchers prefer R due to its computing and visualization capabilities. Researchers can use R to create, test, and evaluate models to help AI algorithms progress.

Scientists in bioinformatics – They use R to perform tasks such as gene expression analysis and variation discovery. These are crucial for AI-driven applications within genomics and Bioinformatics.

Econometrician – These are economists who use AI to develop models that predict trends, assess risks and forecast market behavior.

Social data scientists – they use R to perform social network and textual analysis tasks.

Start with Top R Resources

R offers powerful statistical analysis, clear visualizations of data, and an easy-to-use environment for creating machine-learning models. Browse our courses, tutorials and blog posts. You can start by exploring the following options –

Introduction of R

Intermediate R

Introduction of Tidyverse

Exploratory data analysis in R

Machine Learning Scientist with R

3. Julia

Julia is a powerful data analysis tool that can handle complex calculations and has a fast processing speed.

How can Julia be used in AI? Julia's speed makes it the ideal choice for advanced machine-learning models.

Top Julia AI libraries and packages –

It's a popular framework for learning that offers an intuitive way to build and fine-tune neural networks.

jl is the ideal tool for data visualization tasks.

jl provides a robust framework for solving differential problems of all types.

jl is Julia's standard statistical library.

jl is a tool that helps in data visualization through the understanding of complex data and model behavior.

Julia is used in AI roles

Julia's high-performance AI capabilities are becoming increasingly well-known. This dynamic language has been used in a variety of AI specializations, from robotics to financial analysis, to enhance the deployment of innovative solutions. Here are some AI jobs that use Julia.

AI Engineer – Julia is used to build and train robust models.

AI researcher (algorithmic Optimization) – They create prototypes, evaluate and assess their algorithms' effectiveness before converting them into commonly used languages.

Machine learning engineer – They use Julia's libraries, such as Flux.Jl to create AI solutions in industries such as finance.

Robotics Engineer (AI-driven Robotics) – Julia's ability to handle real-time information and integrate it into robotics frameworks such as ROS (Robot Operating System), makes it a useful tool for robotics engineering professionals working on AI driven robots.

Financial analyst (AI trading) – Julia is a strong asset to analysts who are developing AI-based trading models and algorithms.

Start with these Julia resources

Julia's expanding set of deep learning tools, combined with its solid math foundation, makes it a great tool for creating AI models. Choose one of the following courses to start –

Introduction of Julia

Intermediate Julia

Data manipulation in Julia

Introduction Data Visualization in Julia

Julia Machine Learning Introduction

4. Scala

Scala is a leader in AI and machine learning due to its integration with Apache Spark and scalability. Scala's compatibility with Java and functional programming abilities make it a powerful tool for developing AI systems.

How can Scala be used in AI? Scala excels in handling data, functional programming, and managing large-scale AI apps. This is especially true when used with Apache Spark.

Top Scala AI libraries and packages –

Apache Spark – This tool provides distributed computing, data stream, and machine-learning features, making it an essential tool for creating AI applications in Scala.

SparkMLlib – This library offers a variety of machine-learning algorithms to perform tasks like classification, regression and clustering. It also allows you to build recommendation systems.

Breeze – This includes linear algebra operations, statistical functions, and optimization methods. It provides a foundation for building AI models in Scala.

Deeplearning4j – Although DL4J's primary platform is Java, it offers a Scala-based interface for constructing learning models and educating them. It integrates seamlessly with Apache Spark and accommodates network structures.

Scopt – Although it is not classified as an AI library (it's a command-line interface), it allows developers to create user command-line interfaces to manage and set up their AI models. This simplifies their deployment and usage processes.

Scala is used for AI roles

Scala is used where complex algorithms and large-scale processing of data are the norm. This language is used for a wide range of AI roles, and it offers unique advantages when it comes to big data integration and systems engineering. Scala is used in the following job roles –

Engineers who specialize in machine learning build and deploy large-scale machines and systems.

Data scientists – They use this for data cleaning, manipulation, and custom machine learning pipelines.

Spark developer – Apache Spark, a framework for big data processing, is built in Scala. Spark developers will likely be employed by a company that uses Spark to perform AI tasks.

AI researcher – AI researchers use Scala to prototype new algorithms and build specialized tools because of its flexibility.

Scala backend developers (for AI), they use Scala for the development and maintenance of server-side functionality.

Scala Resources to Get Started

Scala is a great tool for creating AI solutions and managing large datasets. Scala's focus on programming, and its seamless connection with Apache Spark makes it a valuable tool for developing AI projects and working with large datasets.

5. Java

Java is used to create sophisticated AI software. It is well-known for its ability to build adaptable systems that are compatible with different computer platforms, and integrate AI libraries to implement machine-learning algorithms.

How can Java be used in AI? Java is used to create large, cross-platform AI applications.

Top Java AI libraries and packages –

WEKA is a collection of machine-learning algorithms.

DeepJAVA is a Java tool for creating and training deep neural networks.

H2O – The model training is done using distributed computing.

Deeplearning4j is a deep-learning library that supports models like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and others.

Smile is a machine learning model development tool that focuses on efficiency and clarity.

Java-based AI roles

Java is a cornerstone of AI development. It offers robust frameworks and libraries that assist with the integration of AI into different platforms, such as big data systems or mobile applications. Here are some AI jobs that utilize Java –

Big data engineer – These engineers use Java frameworks to build and manage AI pipelines for large volumes of data. They also provide tools such as machine-learning algorithms and distributed processing.

Java libraries like Deeplearning4j or H2O are used by enterprise AI developers to integrate AI models in existing Java enterprise systems. Businesses can now take advantage of AI capabilities without having to invest in complex infrastructure.

Android AI developer – These developers use tools such as TensorFlow Light, an optimized version of TensorFlow Mobile, to integrate AI-driven functionality into Android applications.

AI Infrastructure Engineer (Java Backend for AI). They create APIs to expose AI models and features to applications. Java-based pipelines and monitoring tools can be used to make sure that AI models are running smoothly in production environments.

Software Engineer (AI Integration with Java Systems) – They integrate AI libraries or models like scikit-learn into Java-based Java applications using Java APIs. This allows them to utilize AI capabilities.

To begin your journey into AI, you will need to master key skills like basic mathematics (like calculus and linear algebra) and statistics. These are the foundations for understanding AI algorithms and operations.

Python is a great language to learn because of its simplicity, and AI can use a lot of resources. Data manipulation skills and an understanding of data structures is essential to implement AI solutions.

You can build up your AI expertise by continuously updating these skills through targeted learning and practical projects.

Check out How to Learn AI From Scratch for a complete guide that includes detailed learning plans, resources, and more.

Starting your AI study can be an exciting and rewarding journey. Here's how you can begin your AI education using the listed online course of artificial intelligence.

Coursera: Introduction to TensorFlow (for Artificial Intelligence and Machine Learning)

Artificial Intelligence A-Z: Build 5 AI (including ChatGPT).

University of Texas, Great learning AI Program

Artificial Intelligence Engineer Certification Process by Artificial Intelligence Board of America

AI programming can be a very exciting experience. Start experimenting with your chosen language and learning as you go.

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5 AI Tools To Step-Up Your Online Content Creation

The internet is easily one of the best inventions of mankind. Not only does it enable the transfer of information worldwide in seconds, but it has also created perhaps the most sought-after career in recent times — content creation. We've all seen midnight successes — be it your favorite family vlogger, or a gaming-centric YouTuber. Despite how easy it might seem, making videos — or any form of content online requires time, commitment, and skill. 

While there's no substitute for the amount of effort and dedication you need to put in to turning your hobby into an online career, the availability of content creation tools and resources have made the gig infinitely more accessible to countless individuals globally. As someone who has spent years shooting and editing tech-focused videos on YouTube, I have often scoured the internet to find ways of streamlining the process. 

With the advent of AI, now more than ever, it is possible for anyone and everyone to get started with online content creation. From being able to speed up the video editing process, to getting hold of attractive video thumbnails in just a few clicks, here are five exceptional AI tools geared towards content creation that you should try. While we've tested every mention on this list, it's important to note that most of these services do require a monthly subscription to yield many of the advertised features.

ChatGPT for brainstorming and script writing

A content creator's worst nightmare is a creative block. Not knowing which direction to push a certain idea towards, or simply finding it difficult to express it in words that are easily communicable — these are some of the earliest challenges you face when creating something new. Among the countless ways ChatGPT has shook up the world is its simplest application ever — script writing and brainstorming. 

If you are struggling to form a finished piece of content, you can feed in a general outline of what it is you're aiming to achieve and let ChatGPT take over. You can also input your existing script and ask the chatbot to proofread it or make changes to the overall style of your writing. While you can use ChatGPT without logging in, creating a free account will grant you access to conversation history, and the significantly more powerful GPT-4o model that can input and output not just text, but images and documents. 

ChatGPT is also available as an app for Android and iOS devices — so you can ideate and work on your scripts on the go. Although AI tools like ChatGPT have been getting better by the day, it still isn't advisable to rely solely on them since hallucinations can cause factual errors. Beyond this cautionary advice, the sky is the limit with ChatGPT — think of it as your personal assistant with an ever-expanding repository of words and ideas. 

Murf for converting text to speech

Now that you've got your script ready, the exciting part of bringing your video or audio podcast together begins. Recording your own voice-over for content is easier than ever, thanks to the slew of great budget-friendly microphones you can buy. However, if you don't enjoy long stretches of trying to mute your surroundings just so you can get hold of a usable voice clip, you can choose to automate this entire step. Text to speech has been around for ages, but has only recently become indistinguishable from actual human voice recordings.

Murf is one such tool that has an enormous range of voices to choose from that span various languages and countries. The tool displays a list of five voices by default that it curates depending on your location. Apart from being able to convert text to realistic audio, you can play around with the pitch and speed to find the perfect balance. You get 10 minutes of free voice generation, beyond which you will have to shell out a subscription fee.

You can separate different parts of your script into different blocks to better tweak the generated audio. Each block has its own controls for speed and pitch. You can also add pauses between words or sentences to generate an emphasis on particular parts of the speech. Double-clicking on any word will allow you to tweak its pronunciation — which is a godsend for fixing proper nouns such as names of people. 

Veed.Io to edit videos using AI online

If it is video content you're making for a platform like YouTube or TikTok, then you might find editing to be the most challenging part. It takes a lot to create a visually entertaining video — everything from gathering free-to-use stock footage, to match cutting clips for maximum immersion. While there is a good selection of budget-friendly video editing apps for beginners, even the most basic of tools might seem daunting if you aren't familiar with the workflow. 

This is where Veed.Io comes in and tackles two of the major annoyances most new content creators face — a heavy offline application that requires powerful hardware to work, and complicated controls. Veed.Io is an online web app that lets you craft videos within minutes using AI. The first time you sign up for a free account, you are greeted with a host of pre-designed video templates.

When you create a new project, you have the option to upload your own video files, or start with AI. The latter takes in a text prompt and generates a short video, complete with auto-subtitles, video clips, and other graphical elements. There is a proper timeline-view of the various layers, making it quite easy to cut, merge, or edit different contents. The free version is limited to 720p 10-minute long exports, while premium subscriptions of Veed.Io unlock features like background noise removal, text to speech, and custom templates.

Suno to create your own music

One of AI's most impressive use cases in recent times has been in the generation of music that actually sounds decently good — we've seen this with Google's new music-oriented AI. Suno is probably one of the most finished tools that can create a song complete with lyrics, instrumentals, and vocals from scratch. You can write your own lyrics — or rely on ChatGPT's prowess, select a genre, and let Suno take over. 

By default, Suno asks you for a text prompt and takes just a few seconds to come up with a track. You can switch to a custom mode that lets you paste in your own lyrics. Here, you can also define what style you want the song to be. Generated tracks stack up as a list, and you can download them as an audio or video file, or choose to extend the song. Surprisingly, the free tier of Suno is quite generous and lets you generate up to 10 new songs per day, with the premium plans being quite affordable. 

Suno has a mesmerizing explore page that features a plethora of music styles. The app has a huge community of people that regularly share their AI music creations too. Although nothing can replicate actual talent, Suno is a great example of how AI can be used for inspiration and as a starting point for beginners. 

Canva to create AI-assisted images

Utilizing some of the best AI image generator apps to create visually engaging pictures is a great way to complement your content, be it a blog post, Instagram story, or a thumbnail for a YouTube video. When it comes to free alternatives to paid creative apps, Canva reigns supreme. The online tool has been around for years and has helped countless individuals and companies worldwide with their creative requirements. Like most other popular services, Canva has been experimenting with AI and offers a convenient way to create images within seconds.

Canva boasts a couple of image generating tools that are supercharged by AI. Magic Media allows you to generate up to 50 AI images for free, and has options to tweak the art style of the pictures. You can also select DALL-E by OpenAI as your image generating engine, which is best-suited to create hyperrealistic pictures. There's also Imagen by Google Cloud that grants you a few free spins at image generation using AI. You can unlock more attempts by subscribing to Canva Pro, which allows you to create up to 500 images per month.

Canva implements its AI features in its existing editor quite generously and in a way that doesn't interfere or promote the overuse of artificially generated images in your projects. Images generated using Magic Media have a few variations you can choose from, such as watercolor, neon, and filmic styles. 

Best AI Tools For Students

Artificial intelligence has come into every industry and it is impacting the functionalities in some way. There are some of the best tools for students that they can use to learn and understand things easily. Students can use those AI tools to better their learning process as well as know the nuances of the concepts they are learning. In this guide, we show you a few best AI tools for students.

If you are a student and looking for AI tools that can help you to learn or help you do projects, you can use the below tools.

ChatGPT

Programming Helper

TutorAI

Explain Like I'm Five

Scholarcy

Let's get into the details of each tool.

1] ChatGPT ChatGPT is one of the best tools available for everyone. It can benefit a lot to students to understand the concepts that are hard to learn. You can use this Chat bot to simplify, analyze and explain the concepts of your curriculum. All you need to do is type in your queries and wait for them to answer you as you like. You just have to read the output. ChatGPT can also make the note-making process easier by showing you the important points of a topic and easing the learning. Read: Free online courses from top universities 2] Programming Helper If you are a programming student and stuck writing code for a project or personal work, you can use Programming Helper to write code for you using AI. You can use the code and compare it with the code you have written. This way you can understand the nuances of code, mistakes you have made, and different ways to write code. Programming Helper is a free-to-use platform that you can use to generate code for various projects. 3] TutorAI TutorAI is a learning platform where you can learn anything. It is based on generative AI that is updated to the latest news and trends. All you have to do is input your queries and read the output. When you search for something on TutorAI, it loads different modules related to that topic. The modules are segregated into beginner, intermediate, and advanced levels.  To use TutorAI, you need to sign up using an email id. It is currently a free-to-use tool and you can learn everything using it simply by inputting the text. Read: Best AI tools for Developers 4] Explain Like I'm Five explainlikeimfive.Io is a simple-to-use web application that is 5] Scholarcy Scholarcy is an AI tool that lets you read smarter by simplifying and summarizing articles and the input you give. You can use it to learn from articles on the internet about your subject as well as your lessons. It is very tough to go through thousands of pages of research papers. To bypass that, you can use Scholarcy to summarize the key concepts for you. You can try Scholarcy for free for 14 days. If you like the service, you can opt for its paid plan. These are some of the best AI tools available for students to ease their learning and understand complicated concepts. The tools can even be used to do homework and complete assignments. Read: How to apply for a Students Scholarship to Microsoft How AI can be used in online learning? AI can be used in online learning to simplify and organize topics in such a way that every student can understand. AI can also be helpful to make an outline of the subjects that are up to date with the current trends and happenings. It can also help students learn faster and easier. How is AI used by students? Students can use AI tools to simplify and summarize complicated concepts in their subjects. It can also be used to guide students on their assignments and test preparations. If a students need to do a project in the holidays without the teacher's intervention, AI can help guide the student in the right direction without wasting time. Related read: Best essential & useful apps & services for Students,

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