Software Alternatives, Accelerators & Startups

Top 9 AI Tools in Data Science And Machine Learning

The best AI Tools within the Data Science And Machine Learning category - based on our collection of reviews & verified products.

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Jupyter Amazon SageMaker AiFA Labs Streamlit Kodezi C3 AI Suite Google Cloud AI

Summary

The top products on this list are Jupyter, ChatON.One, and Amazon SageMaker. All products here are categorized as: Platforms and resources for developing and utilizing artificial intelligence. Platforms and tools for data analysis, scientific research, and machine learning applications. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

    #Data Analysis #Data Science And Machine Learning #Data Science IDE 216 social mentions

  2. ChatON is an all-in-one AI assistant that integrates leading AI models like GPT-4, Claude 3.5, and Gemini 1.5. Experience seamless chat, writing, and coding across web, mobile, and desktop platforms with enterprise-grade security and continuous updat

    #AI #AI Platform #AI Writing

  3. Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

    #Data Science And Machine Learning #Machine Learning #AI 45 social mentions

  4. Launch a successful GenAI project by leveraging the best large language models and AI tools on the market!

    #AI #AI Platform #AI Writing

  5. Turn python scripts into beautiful ML tools
    Pricing:
    • Open Source

    #Productivity #AI #Developer Tools 213 social mentions

  6. 6
    Grammarly For Programmers

    #Productivity #Data Science And Machine Learning #AI

  7. The C3 AI Suite uses a model-driven architecture to accelerate delivery and reduce the complexities of developing enterprise-scale AI applications.

    #Data Science And Machine Learning #AI #Developer Tools

  8. On-machine AI agent, automating engineering tasks seamlessly

    #Productivity #AI #Writing Tools 24 social mentions

  9. Fast, scalable, and easy-to-use AI offerings including machine learning, video and image analysis, speech recognition, and multi-language processing.

    #Productivity #Machine Learning #AI 8 social mentions

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