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A beginner-friendly course covering the fundamentals of neural networks and deep learning.

Machine LearningAI
5 Chapters
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Master advanced Python techniques and libraries for complex data analysis and visualization.

PythonData Science
25 Chapters
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Explore the concepts behind generative models like GANs and Transformers from scratch.

Generative AITransformers
18 Chapters
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Learn how to build state-of-the-art NLP models using BERT and the Hugging Face ecosystem.

NLPTransformersPython
14 Chapters
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Deep dive into object detection, segmentation, and image classification techniques.

Computer VisionDeep Learning
30 Chapters
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Understand the core concepts of RL, agents, environments, and rewards.

Reinforcement LearningAI
10 Chapters
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A critical look at the ethical implications of AI deployment and safety guidelines.

EthicsAI Policy
8 Chapters
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Learn best practices for deploying, monitoring, and maintaining ML models in production.

MLOpsDevOpsProduction
22 Chapters
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An in-depth guide to the architecture that changed NLP forever: Attention is All You Need.

TransformersNLPTheory
15 Chapters
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Applying deep learning techniques to medical imaging and patient data analysis.

HealthcareDeep LearningApplied AI
20 Chapters
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