Machine Learning

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Across
  1. 4. - Deep learning framework known for its speed and efficiency.
  2. 6. CUDA - Parallel computing platform and API that allows using GPUs for accelerating machine learning.
  3. 9. - User-friendly deep learning library that runs on top of TensorFlow or Theano.
  4. 10. Cognitive Services - Collection of pre-trained machine learning models for various tasks.
  5. 11. - Low-code machine learning library for simplifying the end-to-end ML workflow.
  6. 13. SageMaker - Managed machine learning service offered by Amazon Web Services (AWS).
  7. 15. Cloud AutoML - Google's suite of machine learning products with automated capabilities.
  8. 16. - Deep learning framework known for its dynamic computational graphs.
  9. 17. - Open-source platform for machine learning and AI.
  10. 18. Azure - Cloud computing platform with various machine learning tools and services.
Down
  1. 1. - Open-source conversational AI platform for building chatbots and voice assistants.
  2. 2. - Python library for machine learning built on NumPy, SciPy, and Matplotlib.
  3. 3. - Popular open-source machine learning framework developed by Google.
  4. 5. - Python library for efficient mathematical computations used in deep learning.
  5. 7. Watson - AI platform by IBM that provides various machine learning capabilities.
  6. 8. Watson Studio - Integrated environment for data science and machine learning powered by IBM Watson.
  7. 12. Spark - Fast and general-purpose cluster computing system with built-in machine learning capabilities.
  8. 14. - Unified analytics platform that supports big data processing and machine learning.
  9. 16. NLTK - Natural Language Toolkit library for text analysis and natural language processing.
  10. 19. - Open-source computer vision library widely used in machine learning applications.