Dr. Rambabu Pemula

  Unit – IV Unsupervised Learning and Dimensionality Reduction 1.     Types of Unsupervised Learning, 2.     Challenges in Unsupervised Learning, 3.     Clustering Algorithms: a.      K-Means, b.     Agglomerative, c.      DBSCAN, d.     Comparing and Evaluating Clustering Algorithms. 4.     Dimensionality Reduction: a.      Linear Discriminant Analysis (LDA), b.     Principal Component Analysis (PCA), c.      Factor Analysis (FA).

UNIT V  Transfer Learning  Types  Methodologies  Diving into Transfer Learning  Challenges  

  UNIT V  Transfer Learning  1. Types  2. Methodologies  3. Diving into Transfer Learning  4. Challenges 👉 Transfer learning Notes 👉 Transfer Learning PPTs

UNIT V  Transfer Learning  1. Types  2. Methodologies  3. Diving into Transfer Learning  4. Challenges   Reference: Dipanjan Sarkar, Raghav Bali, “Transfer Learning in Action”, Manning Publications, 2021