2110746 Big Data Analytics

 

 

 

Place: Eng. 4, 19-01, Time: 9.00-12.00 (28 September, 2007) !!!

scope—from slide no.1 to slide no.4

 

Place: Eng. 4, 19-01, Time: 9.00-12.00 (27 September, 2007) !!!

scope—from slide no.1 to slide no.4

 

 

 

 

 

The slides used in the course:

Ř  iPythonNotebook, Data 

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

Ř  iPythonNotebook, Data

 

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.