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| Programming Languages |
25 Free Computer Languages for AI/ML
Here are 25 of the best and most demanding AI/ML languages, along with their cost and reasons why they are considered the best:
Python - Free - Python is one of the most popular and widely used AI/ML languages, thanks to its simplicity, ease of use, and powerful libraries such as NumPy, Pandas, and TensorFlow.
R - Free - R is a popular open-source programming language for data analysis and statistical computing. It has a wide range of libraries and tools for data manipulation, visualization, and modeling.
Java - Free - Java is a widely-used programming language that is popular in enterprise software development. It is also commonly used in machine learning, thanks to its performance and scalability.
C++ - Free - C++ is a high-performance programming language that is widely used in AI/ML due to its speed and ability to handle large data sets.
Julia - Free - Julia is a relatively new programming language that is designed for numerical and scientific computing. It is designed to be fast, scalable, and easy to use.
Scala - Free - Scala is a programming language that is designed to be a more powerful and efficient version of Java. It is often used in large-scale data processing and machine-learning applications.
Go - Free - Go is a programming language that was developed by Google. It is designed to be simple, efficient, and scalable, making it a good choice for AI/ML applications.
Swift - Free - Swift is a programming language that was developed by Apple for iOS and macOS development. It is also a popular choice for machine learning and AI applications.
PHP - Free - PHP is a popular web development language that is also used in machine learning and AI applications.
JavaScript - Free - JavaScript is a popular scripting language that is widely used in web development. It is also used in machine learning and AI applications.
Lua - Free - Lua is a lightweight and fast programming language that is often used in game development and machine learning applications.
Rust - Free - Rust is a programming language that is designed to be safe, fast, and concurrent. It is often used in high-performance computing and AI/ML applications.
Prolog - Free - Prolog is a programming language that is designed for logic programming. It is often used in AI applications such as expert systems and natural language processing.
Haskell - Free - Haskell is a functional programming language that is often used in scientific research and machine learning applications.
Perl - Free - Perl is a popular scripting language that is often used in web development and machine learning applications.
Groovy - Free - Groovy is a dynamic programming language that is designed to be easy to use and scalable. It is often used in machine learning and data science applications.
C# - Free - C# is a popular programming language that is often used in Windows development. It is also a popular choice for machine learning and AI applications.
Dart - Free - Dart is a programming language that was developed by Google. It is often used in mobile app development and machine learning applications.
Kotlin - Free - Kotlin is a programming language that was developed by JetBrains. It is often used in Android app development and machine learning applications.
Ruby - Free - Ruby is a popular scripting language that is often used in web development and machine learning applications.
Objective-C - Free - Objective-C is a programming language that is commonly used for iOS and macOS app development. It is also used in machine learning and AI applications.
F# - Free - F# is a functional programming language that is often used in scientific research and machine learning applications. It is designed to be concise and expressive.
TypeScript - Free - TypeScript is a programming language that is a superset of JavaScript. It is often used in large-scale web applications and machine learning applications, thanks to its static typing and scalability.
Caffe - Free - Caffe is a deep learning framework that is often used in computer vision and image processing applications. It is known for its fast performance and ease of use. Caffe is written in C++ and can be easily integrated with other languages such as Python and MATLAB.
TensorFlow - Free - TensorFlow is an open-source deep learning framework developed by Google. It is widely used in various AI applications such as natural language processing, image and speech recognition, and reinforcement learning. TensorFlow is known for its scalability and flexibility, and it supports multiple programming languages such as Python, C++, and Java.
25 Free Platform
- TensorFlow - A popular and widely-used open-source deep learning framework developed by Google.
- Keras - An open-source neural network library written in Python that can run on top of TensorFlow.
- PyTorch - An open-source machine learning library that is known for its ease of use and flexibility.
- Scikit-learn - An open-source machine learning library for Python that provides tools for data analysis and modeling.
- Theano - An open-source numerical computation library that can be used for deep learning and other machine learning applications.
- Apache MXNet - A flexible and scalable open-source deep learning framework that supports multiple programming languages.
- Torch - A scientific computing framework with wide support for machine learning algorithms.
- H2O.ai - An open-source platform that provides tools for data analysis, machine learning, and AI.
- TensorFlow.js - A JavaScript library that enables the training and inference of machine learning models directly in the browser.
- Caffe2 - A deep learning framework that is optimized for mobile and embedded platforms.
- Microsoft Cognitive Toolkit (CNTK) - An open-source deep learning framework developed by Microsoft.
- SciPy - An open-source scientific computing library that provides tools for data analysis and machine learning.
- RapidMiner - An open-source platform for data science that provides tools for data preparation, machine learning, and predictive analytics.
- Weka - An open-source collection of machine learning algorithms for data mining tasks.
- Orange - An open-source data visualization and analysis platform that provides tools for machine learning and data mining.
- Mahout - An open-source machine learning library that is optimized for distributed computing.
- DeepLearning4j - A deep learning framework for Java that is designed to be easy to use and scalable.
- Apache Spark MLlib - A distributed machine learning library that is built on top of Apache Spark.
- Apache Flink - A distributed stream processing platform that can be used for machine learning and real-time data analysis.
- OpenCV - An open-source computer vision library that provides tools for image and video analysis.
- MxNet.js - A JavaScript library for deep learning that is optimized for web and mobile platforms.
- Chainer - A flexible and powerful deep-learning framework that is written in Python.
- Google Cloud AI Platform - A cloud-based platform that provides tools for building and deploying machine learning models.
- CNTK - A deep learning framework developed by Microsoft that is optimized for large-scale distributed training.
- TensorRT - A high-performance deep learning inference library developed by NVIDIA that is optimized for deployment on GPUs.
