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Course overview
Future Trends in Machine Learning
Automated Machine Learning (AutoML): Tools and frameworks that automate the process of model selection, training, and optimization.
Explainable AI (XAI): Techniques and methods to make machine learning models more interpretable and transparent.
Federated Learning: Training machine learning models across decentralized devices or servers without exchanging sensitive data.
Edge AI: Running machine learning algorithms on edge devices (IoT devices, smartphones) to reduce latency and privacy concerns.
Ethical AI: Addressing ethical considerations, biases, and fairness in machine learning algorithms and applications.
Curriculum for this course
1 Lessons
Machine learning
1 Lessons
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Machine learning
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