Lecture Notes 2019

  • Week 1: What is Big Data ? [PDF]

  • Week 2:
    • What we can do and what we should do with Big Data ? [PDF]
    • Data Preprocessing and Introduction to Feature Manipulation [PDF]

  • Week 3: Feature Manipulation for High-Dimensional Data: Feature Selection [PDF]
    • Extra Notes --- COMP 307 Decision Tree Learning with An Example [PDF]

  • Week 4: Feature Manipulation for High-Dimensional Data: Feature Construction [PDF]

  • Week 6:
    • Moving Beyond Linearity [PDF]
    • Clustering 1 [PDF]

  • Week 7: Clustering 2 [PDF]

  • Week 8: Hadoop MapReduce [PDF]

  • Week 9: Apache Spark [PDF]

  • Week 10: Spark Machine Learning Libraries [PDF]

  • Week 11: Course Review [PDF]
Topic attachments
I Attachment Action Size Date Who Comment
Lecture10.pdfpdf Lecture10.pdf manage 384 K 20 May 2019 - 17:00 Main.tranbinh