1

Etapa 1

Week 1

2

Etapa 2

Week 2

3

Etapa 3

Week 3

4

Etapa 4

Week 4

5

Etapa 5

Week 5

6

Etapa 6

Week 6

7

Etapa 7

Week 7

8

Etapa 8

Week 8

9

Etapa 9

Week 9

10

Etapa 10

Week 10

11

Etapa 11

Week 11

1

Etapa 1

Week 1

2

Etapa 2

Week 2

3

Etapa 3

Week 3

4

Etapa 4

Week 4

5

Etapa 5

Week 5

6

Etapa 6

Week 6

7

Etapa 7

Week 7

8

Etapa 8

Week 8

9

Etapa 9

Week 9

10

Etapa 10

Week 10

11

Etapa 11

Week 11

21 enero 2017 11 abril 2017
Objetivo completado 19 julio 2017

Autor del objetivo

Educación

Machine Learning on Coursera

I've had plans to take a course like this since ages ago. Artificial intelligence and related topics are very interesting so it is a good idea to increase own level of awareness here. And still this is a good change to recover my math skills being completely unused for a few years since I was graduated. Nice challenge. nice course, hope I will find a time and motivation to complete it

 Criterio del fin

All materials have been passed through, all assignments are done

  1. Week 1

    1. Introduction

    2. Linear Regression with One Variable

    3. Linear Algebra Review

    4. Practice Quiz: Linear Algebra

  2. Week 2

    1. Linear Regression with Multiple Variables

    2. Octave/Matlab Tutorial

    3. Programming Assignment: Linear Regression

  3. Week 3

    1. Logistic Regression

    2. Regularization

    3. Programming Assignment: Logistic Regression

  4. Week 4

    1. Neural Networks: Representation

    2. Programming Assignment: Multi-class Classification and Neural Networks

  5. Week 5

    1. Neural Networks: Learning

    2. Programming Assignment: Neural Network Learning

  6. Week 6

    1. Advice for Applying Machine Learning

    2. Programming Assignment: Regularized Linear Regression and Bias/Variance

    3. Machine Learning System Design

  7. Week 7

    1. Support Vector Machines

    2. Programming Assignment: Support Vector Machines

  8. Week 8

    1. Unsupervised Learning

    2. Dimensionality Reduction

    3. Programming Assignment: K-Means Clustering and PCA

  9. Week 9

    1. Anomaly Detection

    2. Recommender Systems

    3. Programming Assignment: Anomaly Detection and Recommender Systems

  10. Week 10

    1. Large Scale Machine Learning

  11. Week 11

    1. Application Example: Photo OCR

  • 1304
  • 21 enero 2017, 16:46
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