Explain the topics in machine learning?
Answer / Santosh Kumar Bhart
Machine Learning covers a wide range of topics, including Supervised Learning (learning from labeled data), Unsupervised Learning (learning from unlabeled data), Reinforcement Learning (learning through interaction with an environment), Deep Learning (using artificial neural networks with many layers to learn hierarchical representations), and Transfer Learning (reusing trained models on different but related tasks).
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