Top 10 Artificial Intelligence Tools & Frameworks

Top 10 Artificial Intelligence Tools & Frameworks

The rise of Artificial Intelligence has helped simplify the world around us. No longer a subject matter of science fiction, AI is the truth behind the digital revolution of the 21st century.

The rise of Artificial Intelligence has helped simplify the world around us. No longer a subject matter of science fiction, AI is the truth behind the digital revolution of the 21st century. While AI applications have found their place across various industrial sectors, it has also given rise to the number of AI tools and frameworks. Just as AI applications help simplify our lives, AI tools and frameworks help simplify the task of a developer. For every budding aspirant seeking to make it big in the AI domain, the question that inevitably comes to mind is –

To end this dilemma, we have compiled a list of the best tools and frameworks for Artificial Intelligence. Here goes!

  1. Scikit-learn

Scikit-learn is an open-source, Python-based ML library that was developed in 2007. It is built on two of Python’s most widely-used libraries – NumPy and SciPy. It includes a host of administered and unsupervised learning calculations for standard AI and data mining functions (for example, bunching, relapse, order, choice trees, k-implies, etc.). Scikit-learn is excellent for dealing with AI computations, data analysis, and data mining.

  1. TensorFlow

TensorFlow is an open-source software library developed by Google Brain. It is the perfect tool for handling high-volume, complex numerical computations. TensorFlow features a multi-layered arrangement of hubs that allow developers to promptly set up, train, and send counterfeit neural systems with massive datasets. It is used by tech giants like Intel, Google, SAP, and Nvidia.

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