It focuses on algorithms and statistical models that enable machines to improve their performance on tasks with experience (data).
Key techniques:
Supervised learning, unsupervised learning, reinforcement learning, and deep learning.
Tracks:
Supervised Learning
Unsupervised Learning
Reinforcement Learning (RL)
Deep Learning (DL)
Important Alert:
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