What are the best Platforms to Work on AI Projects

1. TensorFlow

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2. PyTorch

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3. Keras

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4. Scikit-learn

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5. Microsoft Azure ML

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6. Google Cloud AI Platform

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7. Amazon SageMaker

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8. IBM Watson

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9. H2O.ai

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10. FastAI

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What Are The Programming Languages The Full Stack Developers

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What are the best Platforms to Work on AI Projects

1. TensorFlow

Introduced by Google, TensorFlow is one of the open-source library for both machine learning and in-depth learning projects.

2. PyTorch

Backed by Facebook’s Artificial Intelligence Research lab it is another famous and most used open-source framework.

3. Keras

Keras is a another highly advanced neural networks API that works on top of various AI platforms like, TensorFlow, Theano, or Microsoft Cognitive Toolkit (CNTK)

4. Scikit-learn

A versatile open-source machine learning library that provides simple and efficient tools for data mining and data analysis.

5. Microsoft Azure ML

Microsoft’s cloud-based machine learning platform offers tools for building, training, and deploying AI models.

6. Google Cloud AI Platform

This platform supports end-to-end AI model development as part of the Google Cloud ecosystem.

7. Amazon SageMaker

Amazon’s machine learning platform simplifies the process of building, training, and deploying models.

8. IBM Watson

IBM’s AI platform offers tools and services for building and deploying AI applications.

9. H2O.ai

H2O.ai offers an open-source platform for scalable machine learning and deep learning.

10. FastAI

FastAI is a deep learning library that simplifies training high-quality models.

What Are The Programming Languages The Full Stack Developers