Artificial Intelligence Training | Best Institute in Hyderabad
                     Most Popular AI 
Frameworks and 
Tools
Subtitle: 
Empowering Intelligent 
Systems with Cutting-Edge 
Technologies
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Introduction to AI Tools & Frameworks
• AI development is driven by powerful tools and 
frameworks.
• These platforms offer libraries, APIs, and 
environments for model building, training, and 
deployment.
• Choosing the right tool impacts performance, 
scalability, and development speed.
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TensorFlow
• Developed by Google Brain.
• Open-source and widely used for 
machine learning and deep 
learning.
• Offers TensorFlow Lite, 
TensorFlow.js, and TensorFlow 
Extended (TFX) for deployment 
across devices and production.
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PyTorch
• Developed by Facebook’s 
AI Research lab (FAIR).
• Gaining popularity due to dynamic 
computation graphs and user-friendly APIs.
• Ideal for research and production with 
www.visusaulpapthp.inort for TorchScript and ONNX. +91-7032290546
Scikit-learn
• A Python-based machine 
learning library.
• Focuses on classical ML 
algorithms: regression, 
classification, clustering.
• Easy integration with NumPy, 
Pandas, and Matplotlib for data 
preprocessing and visualization.
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Keras
• High-level neural network API, running on 
top of TensorFlow.
• Designed for fast prototyping and 
simplicity.
• Supports CNNs, RNNs, and more with 
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blocks.
Microsoft Azure Machine Learning
• Cloud-based service for building 
and managing ML models.
• Offers drag-and-drop interface, 
automated ML, and MLOps 
integration.
• Seamless integration with other 
Azure services like Data Factory 
and Synapse.
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Other Notable Tools
• Apache Mahout: Scalable ML for big 
data using Hadoop.
• IBM Watson: Enterprise-grade AI with 
natural language and automation features.
• RapidMiner & KNIME: Low-code tools for 
data science workflows.
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Conclusion
• The AI ecosystem is vast and 
evolving.
• Choose tools based on project 
needs: scalability, ease of use, 
and integration.
• Staying updated with trends 
ensures efficiency in AI 
development and deployment.
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For More Information About 
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