1

Step 1

Week 1

23 February—23 February

2

Step 2

Week 2

23 February—23 February

3

Step 3

Week 3

02 March—02 March

4

Step 4

Week 4

09 March—09 March

5

Step 5

Week 5

16 March—16 March

6

Step 6

Week 6

23 March—23 March

7

Step 7

Week 7

29 March—29 March

8

Step 8

Week 8

04 April—04 April

9

Step 9

Week 9

05 April—05 April

1

Step 1

Week 1

23 February—23 February

2

Step 2

Week 2

23 February—23 February

3

Step 3

Week 3

02 March—02 March

4

Step 4

Week 4

09 March—09 March

5

Step 5

Week 5

16 March—16 March

6

Step 6

Week 6

23 March—23 March

7

Step 7

Week 7

29 March—29 March

8

Step 8

Week 8

04 April—04 April

9

Step 9

Week 9

05 April—05 April

17 February 2015

Goal abandoned

The author does not write in the goal 9 years 9 months 4 days

Career & Work

Пройти курс Mining Massive Datasets на Coursera

In the next seven weeks, we will present to you many of the important tools for extracting information from very large datasets. Each week there will be a number of videos to watch, and one or more homeworks to do.

 Goal Accomplishment Criteria

Получен Statement of Accomplishment

 Personal resources

Время

  1. Week 1

    MapReduce

    Link Analysis -- PageRank

  2. Week 2

    Locality-Sensitive Hashing -- Basics + Applications

    Distance Measures
    Nearest Neighbors
    Frequent Itemsets

  3. Week 3

    Data Stream Mining

    Analysis of Large Graphs

  4. Week 4

    Recommender Systems

    Dimensionality Reduction

  5. Week 5

    Clustering

    Computational Advertising

  6. Week 6

    Support-Vector Machines

    Decision Trees
    MapReduce Algorithms

  7. Week 7

    More About Link Analysis -- Topic-specific PageRank, Link Spam.

    More About Locality-Sensitive Hashing

  8. Week 8

    Catch up week

  9. Week 9

    Finals open Monday, March 30, 00:01AM and close Sunday April 5, 11:59PM.

  • 1322
  • 17 February 2015, 23:56
Sign up

Signup

Уже зарегистрированы?
Quick sign-up through social networks.
Sign in

Sign in.
Allowed.

Not registered yet?
 
Log in through social networks
Forgot your password?