Unsupervised, Deep and Reinforcement Learning: Introduction
Acquire an extensive understanding of reinforcement learning, deep neural networks, clustering, and dimensionality reduction to effectively address real-world machine learning challenges.
Description for Unsupervised, Deep and Reinforcement Learning: Introduction
Clustering Techniques: Comprehend and execute the primary categories of clustering techniques, such as hierarchical clustering and k-means.
Dimensionality Reduction: Gain an understanding of the necessity of dimensionality reduction techniques and implement Principal Component Analysis (PCA) for feature extraction.
Deep Neural Networks: Investigate the operation of deep neural networks, their benefits, and the training of them for classification and regression tasks.
Reinforcement Learning: Acquire a basic understanding of reinforcement learning and learn how to apply it to real-world problems.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by DelftX
Duration: 4�6 hours per week approx 6 weeks
Schedule: Flexible
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