Recent Changes

Tuesday, May 27

  1. page Lectures edited ... 24/4/2014 Midterm 2 Week 1/5/2014 23-24 8/5/2014 15/5/2014 1. Data ... Massive Data…
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    24/4/2014
    Midterm 2 Week
    1/5/2014
    23-24
    8/5/201415/5/2014
    1. Data
    ...
    Massive Data sets)Sets)
    2. Module 5Link Analysis (Section 5.1 and 5.2 of EMCMining of Massive Data Sets)
    3. Kaggle Challenge Discussion (AllState Data)
    25-26
    15/5/2014
    1. Link Analysis (Section 5.1 and 5.2 of Mining of Massive Data sets)
    2. Module 6 of EMC
    27-28

    22/5/2014
    ...
    Massive Data sets)Sets)
    2. Matrix/Vector + Database Operations in MapReduce (Chapter 2 of Mining of Massive Data Sets)
    27-28
    24/5/2014
    1. Module 5 of EMC and Tutorials by Hortonworks (Pig, Hive, HBase)

    29-30
    1. Advanced Python
    31-32

    29/5/2014
    ...
    Massive Data sets)Sets)
    2. Course Recap
    (view changes)
    12:56 am

Wednesday, April 23

  1. page Lectures edited ... 23-24 8/5/2014 ... Mining (Section 4.1 and 4.1, 4.2 and 4.3 of Mining 2. Module 5 of…
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    23-24
    8/5/2014
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    Mining (Section 4.1 and4.1, 4.2 and 4.3 of Mining
    2. Module 5 of EMC
    3. Kaggle Challenge Discussion (AllState Data)
    (view changes)
    2:38 am

Friday, April 18

  1. page Lectures edited ... 1. Kaggle Challenge Discussion (Walmart Data) 2. MapReduce programming (Units 3-4 of UdaCity …
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    1. Kaggle Challenge Discussion (Walmart Data)
    2. MapReduce programming (Units 3-4 of UdaCity Course)
    3. EMC Practice Test
    24/4/2014
    Midterm 2 Week
    19-20
    1/5/2014
    Kaggle Wal-Mart Challenge Submission (Due Date: May 05, 2014)
    21-22
    8/5/2014
    1. Section 5.1 and 5.2 (Mining of Massive Data sets)

    23-24
    15/5/2014
    Kaggle Allstate
    8/5/2014
    1. Data Streams Mining (Section 4.1 and 4.2 of Mining of Massive Data sets)
    2. Module 5 of EMC
    3. Kaggle
    Challenge Submission (Due Date: May 19, 2014)Discussion (AllState Data)
    25-26
    22/5/201415/5/2014
    1. Section 8.1, 8.2Link Analysis (Section 5.1 and 8.4 (Mining5.2 of Mining of Massive Data sets)
    2. Module 6 of EMC

    27-28
    22/5/2014
    1. Web Advertising (Section 8.1, 8.2 and 8.4 of Mining of Massive Data sets)
    2.
    29-30
    1. Advanced Python
    31-32

    29/5/2014
    1. SectionsRecommendation Systems (Sections 9.1, 9.2 and 9.3 (Miningof Mining of Massive Data sets)
    2.

    (view changes)
    3:04 am

Friday, April 11

  1. page Lectures edited ... Thursday 1. Discussion on KNIME Implementation of Text Aanlytics, Regression and Association …
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    Thursday
    1. Discussion on KNIME Implementation of Text Aanlytics, Regression and Association Rule Mining
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    and MapReduce (First 2 Units(Units 1-2 of UdaCity
    11-12
    29/3/2014
    Saturday
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    2 of EMC Certification (Data
    13-14
    3/4/2014
    ...
    5/4/2014
    Saturday
    1. Kaggle Challenge Discussion (Walmart Data)
    2. Quick Overview of
    Python
    3. Recap of the following topics
    for Data Analysiscertification (Decision Trees, Naive Bayes, K-Means and Association Rules)
    17-18
    10/4/2014
    Thursday
    1. Section 4.1 and 4.2 (MiningRecap of Massive Data sets)
    2. Discussion on
    the following topics for certification (Regression Analysis, Logistic Regression, Time Series Analysis and Text Analytics)
    19-20
    12/4/2014
    Saturday
    1. Certification Lab
    21-22
    17/4/2014
    Thursday
    1.
    Kaggle Wal-Mart Challenge Discussion (Walmart Data)
    2. MapReduce programming (Units 3-4 of UdaCity Course)

    24/4/2014
    Midterm 2 Week
    (view changes)
    1:06 am

Sunday, March 30

  1. page Lectures edited ... Saturday 1. Python for Data Analysis 13-14 3/4/2014 Thursday 1. EMC Material 2. Section…
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    Saturday
    1. Python for Data Analysis
    13-14
    3/4/2014
    Thursday
    1. EMC Material
    2. Section 4.1 and 4.2 (Mining of Massive Data sets)
    15-16
    17-18
    10/4/2014
    Thursday
    1. Hadoop
    17-18
    17/4/2014
    Thursday
    1. Hadoop Eco System
    Section 4.1 and 4.2 (Mining of Massive Data sets)
    2. Discussion on Kaggle Wal-Mart Challenge

    24/4/2014
    Midterm 2 Week
    (view changes)
    1:09 pm
  2. page Lectures edited ... 2. Introduction to Hadoop and MapReduce (First 2 Units of UdaCity Course) 11-12 29/3/2013 …
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    2. Introduction to Hadoop and MapReduce (First 2 Units of UdaCity Course)
    11-12
    29/3/201329/3/2014
    Saturday
    ...
    Big Data Analytics)Analytics Fundamentals)
    13-14
    3/4/2014
    Thursday
    1. Time Series Analysis
    2. Module 3 of EMC Certification (EDA using R)
    15-16
    5/4/2014
    Saturday
    1. Python for Data Analysis

    13-14
    3/4/2014
    (view changes)
    1:03 pm
  3. page Lectures edited ... Midterm 1 Week 9-10 20/3/2014 Kaggle PAKDD2014 Challenge Discussion (Due Date: April 1, 20…
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    Midterm 1 Week
    9-10
    20/3/2014
    Kaggle PAKDD2014 Challenge Discussion (Due Date: April 1, 2014)
    11-12

    27/3/2014
    Thursday
    1. Time Series AnalysisDiscussion on KNIME Implementation of Text Aanlytics, Regression and Association Rule Mining
    2. Kaggle PAKDD2014 SubmissionIntroduction to Hadoop and MapReduce (First 2 Units of UdaCity Course)
    11-12
    29/3/2013
    Saturday
    1. Modules 1 and 2 of EMC Certification (Data Science & Big Data Analytics)

    13-14
    3/4/2014
    (view changes)
    12:59 pm

Monday, March 17

  1. page home edited ... Spring 2014 Instructor: Dr. Sajjad Haider Class Timings: 7:45 PM 11:00AM - 9:00 2:00 P…
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    Spring 2014
    Instructor: Dr. Sajjad Haider
    Class Timings: 7:45 PM11:00AM - 9:002:00 PM (Tuesdays and Thursdays)(Thursdays)
    E-mail Address: sajjad.haider@khi.iba.edu.pk
    Phone: 111-422-422 (Ext. 1612 and 1621)
    ...
    Syllabus
    Lectures
    Unlike my other courses, this course is making extensive use of SAKAI and hence all the materials and updates are posted on the IBA SAKAI implementation. I would still update the lecture page from time to time to highlight the topics covered in each session.
    (view changes)
    7:24 am
  2. page home edited ... E-mail Address: sajjad.haider@khi.iba.edu.pk Phone: 111-422-422 (Ext. 1612 and 1621) Home …
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    E-mail Address: sajjad.haider@khi.iba.edu.pk
    Phone: 111-422-422 (Ext. 1612 and 1621)
    Home
    Syllabus
    Lectures

    (view changes)
    7:21 am
  3. page space.menu edited Home Syllabus Lectures
    Home
    Syllabus
    Lectures
    (view changes)
    7:20 am

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