HrvvI 2019-11-14 22:05:47
Description: Machine Learning Yearning from Andrew Ng
Plat: Python | Size: 3899KB | Downloads: 0
aaaadas 2019-10-29 16:58:17
Description: Wu Enda Stanford machine learning cs229 first exercise answer python version cs229 ML-Exercise1
Plat: Python | Size: 1357KB | Downloads: 0
fasdfa12 2019-10-16 09:46:43
Description: python machine learning
Plat: Python | Size: 13470KB | Downloads: 1
NeroAsmar 2019-10-03 21:38:16
Description: Machine Learning in Action --- Peter Harrington Original English pdf
Plat: Python | Size: 6323KB | Downloads: 1
吃草莓的猫 2019-07-23 15:19:12
Description: Query Books for Learning the Mathematical Basis of Machine Learning
Plat: Python | Size: 374KB | Downloads: 2
guasir 2019-07-01 13:49:24
Description: zhouzhihua machine learning book
Plat: Python | Size: 76698KB | Downloads: 0
houys 2019-06-29 15:37:37
Description: materials for learning sklearn and tensorflow
Plat: Python | Size: 23473KB | Downloads: 1
Amin123 2019-06-26 18:38:34
Description: machine learning code
Plat: matlab | Size: 224KB | Downloads: 1
EllieToT 2019-06-20 20:58:37
Description: Mr. Li Hang's statistical learning method, very classic machine learning bibliography
Plat: C/C++ | Size: 17326KB | Downloads: 2
周小伦123 2019-06-20 19:30:17
Description: Pre-feedback neural network---extreme learning machine (elm), can be used for fitting and classification
Plat: matlab | Size: 2KB | Downloads: 2
fine jade 2019-06-17 10:00:45
Description: Least squares system identification, machine learning, model identification with fading memory
Plat: matlab | Size: 1KB | Downloads: 1
FangwenSu 2019-06-08 15:45:13
Description: Huawei HIAI object detection demo (can be used directly)
Plat: Java | Size: 12915KB | Downloads: 0
The3ngineer 2019-06-08 04:59:38
Description: machine learning for python beginners
Plat: Python | Size: 15912KB | Downloads: 5
mahmodi 2019-06-05 03:38:06
Description: data set ns-kdd The above dataset requires a preprocessing process to run decision tree algorithm and genetic algorithms in the following phases: 1. Removing null values: To remove null values, these values were replaced by mean values of the same feature in the dataset. 2. Normalizing features: Due to the fact that the range of feature values varies and they differ greatly, the range of these values must be homogeneous to improve the performance of machine learning algorithms, which was also applied to the dataset. Z-score [16] was used to normalize the features.
Plat: Python | Size: 16793KB | Downloads: 0
David2016 2019-06-04 23:45:42
Description: A simple lotto prediction algorithm written in C#
Plat: C# | Size: 1851KB | Downloads: 0
sharon20190604 2019-06-04 20:59:55
Description: Textbook "Statistical learning methods", author Hang Li
Plat: Others | Size: 17492KB | Downloads: 5
李二小 2019-06-03 15:44:55
Description: Machine Learning // Python / interview notes
Plat: Python | Size: 26KB | Downloads: 3
nickname11111 2019-05-28 18:05:56
Description: kfjhdhh bcbbssjjf dkkdejei9d0n jdjjdcudold
Plat: UNIX | Size: 898KB | Downloads: 0
mxml 2019-05-26 00:07:32
Description: Sensing Room Environment: Distributed Sensor Space for Measurement of Human Daily Behavior, 2006
Plat: Others | Size: 1571KB | Downloads: 0
fudgeu 2019-05-25 11:55:12
Description: Matlab Machine Learning ebook-1,2,3,4
Plat: PDF | Size: 2483KB | Downloads: 0
Derazkola 2019-05-23 20:58:10
Description: Machine Learning Course with Python
Plat: Python | Size: 14215KB | Downloads: 0