<ul data-eligibleForWebStory="false"><li>AI can perform various tasks like OCR, face detection, text-to-speech, sentiment analysis, and language translation.</li><li>Machine learning includes supervised learning, unsupervised learning, and reinforcement learning.</li><li>Deep learning is a subset of machine learning that focuses on neural networks.</li><li>Pros and cons exist for AI, ML, and DL applications, impacting areas like efficiency, bias, interpretability, and resource requirements.</li></ul>

What I Learned About AI, ML, and DL in One Week

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