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Top AI Development Frameworks Explained | For Machine Learning, NLP, Computer Vision & MLOps

Unlock the world of AI development frameworks in this comprehensive explainer video! Whether you're a beginner or a seasoned data scientist, this guide covers the essential tools used to build, train, and deploy AI models across various domains:

🔹 General-Purpose AI/ML Frameworks:
TensorFlow, PyTorch, Scikit-learn, Keras

🔹 Reinforcement Learning Frameworks:
OpenAI Gym, Ray RLlib

🔹 Natural Language Processing (NLP):
Hugging Face Transformers, spaCy, NLTK

🔹 Computer Vision Frameworks:
OpenCV, Detectron2, YOLO

🔹 AI Model Deployment & MLOps:
TensorFlow Serving, MLflow, Kubeflow, ONNX

This video gives you a clear understanding of when and why to use each framework. Perfect for developers, data scientists, and AI enthusiasts looking to enhance their toolkits.

👉 Like, share, and subscribe for more AI strategy and development content!

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