Compare the top three in Data Scientists.

• Python  /  Java
• Python  /  Swift for TensorFlow
• Java  /  Swift for TensorFlow

Most popular

1. 

   Python

   Python is a programming language that lets you work quickly and integrate systems more effectively.

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2. Java

   Java is a popular programming language used to create secure, reliable, and high-performance applications. It is used to develop applications for desktop, web, mobile, and enterprise systems. Java is free, open-source, and platform-independent.

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3. Swift for TensorFlow

   TensorFlow Swift is an open source library for machine learning, allowing developers to easily create and deploy ML models on Apple platforms. It provides an intuitive API, fast performance, and support for both eager and graph execution.

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4. 

   DataRobot

   DataRobot is delivering a unified AI platform for all users, all data types, and all environments to accelerate delivery of AI to production for every organization. DataRobot is trusted by global customers across industries and verticals, including a third of the Fortune 50, delivering over a trillion predictions for leading companies around the world.

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5. 

   RapidMiner

   The RapidMiner platform amplifies the impact of people, expertise & data for breakthrough competitive advantage, no matter where you are in your data science journey.

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6. 

   KNIME

   Free and open source with all your data analysis tools. Create data science solutions with the visual workflow builder, & put them into production in the enterprise.

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7. 

   TensorFlow

   An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.

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8. 

   Neo4j

   Connect data as it's stored with Neo4j. Perform powerful, complex queries at scale and speed with our graph data platform.

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9. Theano

   Theano is a powerful Python library for deep learning research and development, with efficient GPU and CPU computation, numerical stability, and dynamic C code generation.

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