1

Step 1

Week 1

28 December—03 January

2

Step 2

Week 2

04 January—10 January

3

Step 3

Week 3

11 January—17 January

4

Step 4

Week 4

18 January—24 January

5

Step 5

Week 5

25 January—31 January

6

Step 6

Week 6

03 October—03 October

7

Step 7

Week 7

04 October—09 October

8

Step 8

Week 8

10 October—16 October

9

Step 9

Week 9

17 October—23 October

10

Step 10

Week 10

24 October—26 October

11

Step 11

Week 11

27 October—30 October

1

Step 1

Week 1

28 December—03 January

2

Step 2

Week 2

04 January—10 January

3

Step 3

Week 3

11 January—17 January

4

Step 4

Week 4

18 January—24 January

5

Step 5

Week 5

25 January—31 January

6

Step 6

Week 6

03 October—03 October

7

Step 7

Week 7

04 October—09 October

8

Step 8

Week 8

10 October—16 October

9

Step 9

Week 9

17 October—23 October

10

Step 10

Week 10

24 October—26 October

11

Step 11

Week 11

27 October—30 October

18 October 2015 31 October 2016
Goal completed 29 October 2016

Goal author

aksankin

Ukraine, Львов

31 years old

General

Пройти курс "Machine Learning"

Пройти coursera.org/learn/machine-learning

Написати конспект

 Goal Accomplishment Criteria

Отримано сертифікат з курсу "Machine Learning"

  1. Week 1

    Introduction

    Linear Regression with One Variable

    Linear Algebra Review

  2. Week 2

    Linear Regression with Multiple Variables

    Octave Tutorial

  3. Week 3

    Logistic Regression

    Regularization

  4. Week 4

    Neural Networks: Representation

  5. Week 5

    Neural Networks: Learning

  6. Week 6

    Advice for Applying Machine Learning

    Machine Learning System Design

  7. Week 7

    Support Vector Machines (SVMs)

  8. Week 8

    Unsupervised Learning

    Dimensionality Reduction

  9. Week 9

    Anomaly Detection
    Recommender Systems

  10. Week 10

    Large Scale Machine Learning

  11. Week 11

    Application Example: Photo OCR

  • 1182
  • 18 October 2015, 11:30
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