"Machine learning methods" trang 1 - tải miễn phí từ tailieunhanh
Lecture Machine learning (2014-2015) - Lecture 10: Max-margin learning

Lecture Machine learning (2014-2015) - Lecture 10: Max-margin learning
30    88    0
Lecture Machine learning (2014-2015) - Lecture 12: Reinforcement learning

Lecture Machine learning (2014-2015) - Lecture 12: Reinforcement learning
28    95    0
Ebook Introduction to machine learning (2nd edition): Part 1

Ebook Introduction to machine learning (2nd edition): Part 1
250    88    1
Lecture Machine learning (2014-2015) - Lecture 1: Introduction

Lecture Machine learning (2014-2015) - Lecture 1: Introduction
25    101    1
Lecture Machine learning (2014-2015) - Lecture 02: Linear prediction

Lecture Machine learning (2014-2015) - Lecture 02: Linear prediction
18    110    0
Lecture Machine learning (2014-2015) - Lecture 3: Maximum likelihood

Lecture Machine learning (2014-2015) - Lecture 3: Maximum likelihood
23    121    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    113    0
Lecture Machine learning (2014-2015) - Lecture 5: Optimisation

Lecture Machine learning (2014-2015) - Lecture 5: Optimisation
26    151    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    112    0
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    95    0
Lecture Machine learning (2014-2015) - Lecture 8: Neural networks

Lecture Machine learning (2014-2015) - Lecture 8: Neural networks
20    103    0
Lecture Machine learning (2014-2015) - Lecture 9: Convnets

Lecture Machine learning (2014-2015) - Lecture 9: Convnets
17    90    2
Lecture Machine learning (2014-2015) - Lecture 11: Recurrent nets and LSTM

Lecture Machine learning (2014-2015) - Lecture 11: Recurrent nets and LSTM
24    92    1
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data

Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data
18    83    1
Experiment improvement of restricted boltzmann machine methods for image classification

Experiment improvement of restricted boltzmann machine methods for image classification
16    75    3
Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods

Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods
15    48    1
A pitfall for machine learning methods aiming to predict across cell types

A pitfall for machine learning methods aiming to predict across cell types
6    54    1
Ebook Introduction to machine learning: Part 2 - Alex Smola, S.V.N. Vishwanathan

Ebook Introduction to machine learning: Part 2 - Alex Smola, S.V.N. Vishwanathan
136    40    1
Ebook Data mining practical machine learning tools and techniques (2/E)

Ebook Data mining practical machine learning tools and techniques (2/E)
558    10    1
Ebook Data mining practical machine learning tools and techniques (3/E)

Ebook Data mining practical machine learning tools and techniques (3/E)
665    13    1