School of Engineering and Computer Science Te Kura Mātai Pūkaha, Pūrorohiko

Lecture Notes 2024

Week 1:

• Course Introduction
• What is Big Data? Where Does Big Data Come From? [PDF]PPTX]
• What we can do and what should we do with Big Data? [PDF]PPTX]
  • Reading: COMP307Related.zip

Week 2:

• Introduction to Feature Manipulation [PDF]
• Feature Selection: Wrapper approaches and Sequential Search
  • Reading: Data Preprocessing [PDF]

Week 3:

• Feature Selection: Filter and Embedded approaches
  • Filter Feature Selection [PDF]
  • Embedded Feature Selection [PDF]
  • Extra Notes --- COMP 307 Decision Tree Learning with An Example [PDF]

Week 4:

• Feature Construction [PDF]

Week 5:

• Nonlinear Dimensionality Reduction: Manifold Learning
  • Part 1 [PDF]
  • Part 2 [PDF]

---

Mid-Trimester Teaching Break

---

Week 6:

• Clustering
  • Reading [PDF]
  • Clustering 1 [PDF]
  • Clustering 2 [PDF]

Week 7-8:

• Regression 1: Linear Regression and Shrinkage Methods [PDF] [PPTX]
• [Credit Dataset]

Week 8-9:

• Regression 2: Moving Beyond Linearity [PDF][PPTX]

Week 9-10: Hadoop MapReduce [PDF][PPTX]

Week 10-11: Apache Spark [PDF][PPTX]

Week 12: Spark Machine Learning Libraries