Top 6 Artificial Intelligence Frameworks and Platforms Available in the Market

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Intro

Artificial Intelligence has completely changed the way various sectors and industries do their work. This is mainly because of the advantages that it provides to its users. In a nutshell, AI is very useful and can provide lots of advantages to its users. Here are some of the most popular artificial intelligence frameworks that you can use to build AI systems and train machine learning models.

Scikit-learn

It is an amazing and powerful machine learning library for Python. The library comes with lots of different types of regression, clustering, classification, etc. algorithms.  The library is written using Python and features lots of great tools for machine learning and statistical modeling. Besides this, it comes with features like cross-validation, clustering, Dimensionality reduction, etc. In short, it is a robust and very useful AI development tool/framework. To learn more about machine learning and statistical modeling feel free to join the Artificial Intelligence Training Institute in Gurgaon.

TensorFlow

Tensor is another great open-source/free-to-use platform/framework for machine learning. The platform features lots of tools, libraries, and resources that allow machine learning developers to easily create robust machine learning apps. Furthermore, it comes with phenomenal architecture support that makes the process of developing apps using this amazing framework even easier and quicker. Besides this, it comes with features like easy model building, accessible syntax, support for powerful experiments, etc. In simple words, it is a great platform for machine learning and can make the process of training ML models and creating ML apps very easy.

Caffe2

Caffe2 is a phenomenal and scalable framework (Deep learning framework). It is built using C++ and comes with an interface of Python. The framework is mainly popular because of its speed and expressive architecture. Using the framework, you can easily develop machine learning models without any difficulty or problem. Furthermore, the framework has a huge community of developers and researchers all over the world too. Besides this, it comes with great features like support for the active development process, speed, expressive architecture, modularity, etc. In simple words, it is a phenomenal deep learning framework and can help developers develop machine learning models easily and quickly.

Google Cloud AutoML

It is a great platform for developing robust machine learning models. Using the platform, you can easily build machine learning models even if you are not a machine learning expert. You can also use the platform for creating custom machine learning models that satisfy your specific business needs. Besides this, the platform comes with lots of great features like data support, model training, model transparency, and cloud logging, explainability, test data export, etc. It is a phenomenal AI framework and can help you develop robust machine learning models without any difficulty.

Theano

It is a robust python library that allows its users to easily perform complex numerical operations on arrays (multi-dimensional arrays). Using it you can easily define, evaluate and optimize your mathematical expressions This is one of the main reasons behind the popularity of this amazing Python library. The library uses GPU instead of CPU for doing numerical operations. Using the library, you can easily create deep learning models and wrapper libraries. Besides this, it comes with features like transparent use of GPU, dynamic generation of code, easy integration with NumPy, etc. Overall, it is a great Python library using which you can easily create deep learning models and wrapper libraries.

Amazon Machine Learning

It is a robust AWS product that allows its users to easily uncover patterns in data via algorithms and build models using those patterns. Using Amazon Machine learning, you can easily create, train and deploy ML models. Furthermore, it also allows its users to easily create predictive apps using built models and add AI to build apps. Amazing, right? Besides this, it comes with lots of ready-to-use AI apps. Additionally, it comes with lots of great features like use case solutions, AI services, ML services, etc. To learn more about Amazon Machine Learning feel free to join the Artificial Intelligence Training in Delhi.

Conclusion

These are some of the most popular AI frameworks and platforms that are currently available in the market. Using these frameworks and platforms you can easily and quickly build, train, and machine learning models and develop robust AI systems. So, do use any of these frameworks or platforms if you want to quickly and easily build AI systems without any difficulty.

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