"Machine learning for the IoT" trang 1 - tải miễn phí từ tailieuXANH
Lecture Machine learning (2014-2015) - Lecture 10: Max-margin learning

Lecture Machine learning (2014-2015) - Lecture 10: Max-margin learning
30    73    0
Lecture Machine learning (2014-2015) - Lecture 12: Reinforcement learning

Lecture Machine learning (2014-2015) - Lecture 12: Reinforcement learning
28    72    0
Machine Learning Introduction

Machine Learning Introduction
30    136    4
Lecture Machine learning (2014-2015) - Lecture 1: Introduction

Lecture Machine learning (2014-2015) - Lecture 1: Introduction
25    91    2
Lecture Machine learning (2014-2015) - Lecture 02: Linear prediction

Lecture Machine learning (2014-2015) - Lecture 02: Linear prediction
18    82    0
Lecture Machine learning (2014-2015) - Lecture 3: Maximum likelihood

Lecture Machine learning (2014-2015) - Lecture 3: Maximum likelihood
23    64    0
Lecture Machine learning (2014-2015) - Lecture 4: Nonlinear ridge regression risk, regularization, and cross-validation

Lecture Machine learning (2014-2015) - Lecture 4: Nonlinear ridge regression risk, regularization, and cross-validation
28    62    0
Lecture Machine learning (2014-2015) - Lecture 5: Optimisation

Lecture Machine learning (2014-2015) - Lecture 5: Optimisation
26    68    0
Lecture Machine learning (2014-2015) - Lecture 6: Logistic regression: a simple ANN

Lecture Machine learning (2014-2015) - Lecture 6: Logistic regression: a simple ANN
17    80    1
Lecture Machine learning (2014-2015) - Lecture 7: Backpropagation: A modular approach (Torch NN)

Lecture Machine learning (2014-2015) - Lecture 7: Backpropagation: A modular approach (Torch NN)
13    89    0
Lecture Machine learning (2014-2015) - Lecture 8: Neural networks

Lecture Machine learning (2014-2015) - Lecture 8: Neural networks
20    56    0
Lecture Machine learning (2014-2015) - Lecture 9: Convnets

Lecture Machine learning (2014-2015) - Lecture 9: Convnets
17    75    0
Lecture Machine learning (2014-2015) - Lecture 11: Recurrent nets and LSTM

Lecture Machine learning (2014-2015) - Lecture 11: Recurrent nets and LSTM
24    126    0
Lecture Introduction to Machine learning and Data mining: Lesson 2

Lecture Introduction to Machine learning and Data mining: Lesson 2
23    15    2
Lecture Introduction to Machine learning and Data mining: Lesson 3

Lecture Introduction to Machine learning and Data mining: Lesson 3
30    16    2
The sewing machine classroom - Learning the ins and outs of your machine

The sewing machine classroom - Learning the ins and outs of your machine
18    81    3
Comparison of machine learning algorithms for the automatic programming of computer numerical control machine

Comparison of machine learning algorithms for the automatic programming of computer numerical control machine
14    74    0
Challenges in Machine Learning and Data Mining

Challenges in Machine Learning and Data Mining
15    65    0
Ebook Introduction to machine learning (2nd edition): Part 1

Ebook Introduction to machine learning (2nd edition): Part 1
250    91    1
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classifcation

Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classifcation
22    70    0
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