The slides used in the course:
o 8th week
§ Midterm Examination (scope—from slide no.1 to slide 5)
§ slide no.6: (cont): Regression slide no 6 part-3, slide no 6 part-4
o 10th week
§ slide no.7: Clustering slide no 7
o 11-12th weeks
§ slide no.8: Feature Selection slide no 8
§ Online Matrix Calculator http://www.bluebit.gr/matrix-calculator/calculate.aspx
§ Eigenvectors of 2 × 2 matrices: A geometric exploration http://blog.keycurriculum.com/eigenvectors-of-2-x-2-matrices-a-geometric-exploration/
§ A geometric interpretation of the covariance matrix http://www.visiondummy.com/2014/04/geometric-interpretation-covariance-matrix/
o 13-14th weeks
§ slide no.9: Classification slide no 9
o 15th week
§ slide no.10: Mining Data Streams slide no 10
o 16th week
§ Final examination (scope—from slide no.6 to slide no.10)
References:
• H.Karau, A.Konwinski, P.Wendell & M.Zaharia. Learning Spark, 2015.
• J.Leskovec, A.Rajaraman, J.D.Ullman. Mining of Massive Datasets, 2014.