种子简介

种子名称： 机器学习基石
文件类型： 视频
文件数目： 78个文件
文件大小： 1.12 GB
收录时间： 2017-5-24 03:29
已经下载： 3次
资源热度： 309
最近下载： 2024-11-9 06:16

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:33467b74178c0e9902b60c686f0cf322fff8fa2e&dn=机器学习基石 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

机器学习基石.torrent

机器学习基石/homeworks/Homework #4/hw4_train.dat4KB

机器学习基石/homeworks/Homework #2/data_train.dat5.98KB

机器学习基石/homeworks/Homework #3/ML/data_train.dat5.98KB

机器学习基石/homeworks/Homework #1/hw1.dat13.79KB

机器学习基石/homeworks/Homework #1/hw2.dat17.37KB

机器学习基石/homeworks/Homework #1/hw3.dat17.46KB

机器学习基石/homeworks/Homework #4/hw4_test.dat20.03KB

机器学习基石/homeworks/Homework #3/ML/data_test.dat59.23KB

机器学习基石/homeworks/Homework #2/data_test.dat59.23KB

机器学习基石/homeworks/Homework #3/ML/hw3_train.dat159.54KB

机器学习基石/homeworks/Homework #3/ntumlone-hw3-hw3_train.dat159.54KB

机器学习基石/homeworks/Homework #3/ML/hw3_test.dat478.63KB

机器学习基石/homeworks/Homework #3/ntumlone-hw3-hw3_test.dat478.63KB

机器学习基石/video/7 - 3 - Physical Intuition of VC Dimension (6-11).mp45.16MB

机器学习基石/video/6 - 2 - Bounding Function- Basic Cases (06-56).mp45.5MB

机器学习基石/video/5 - 4 - Break Point (07-44).mp46.6MB

机器学习基石/video/14 - 3 - Regularization and VC Theory (08-15).mp47.14MB

机器学习基石/video/12 - 4 - Structured Hypothesis Sets (09-36).mp47.31MB

机器学习基石/video/16 - 4 - Power of Three (08-49).mp47.55MB

机器学习基石/video/12 - 2 - Nonlinear Transform (09-52).mp48.03MB

机器学习基石/video/9 - 1 - Linear Regression Problem (10-08).mp48.04MB

机器学习基石/video/16 - 1 - Occam-'s Razor (10-08).mp48.21MB

机器学习基石/video/13 - 4 - Dealing with Overfitting (10-49).mp48.81MB

机器学习基石/video/13 - 1 - What is Overfitting- (10-45).mp49.01MB

机器学习基石/video/9 - 4 - Linear Regression for Binary Classification (11-23).mp49.05MB

机器学习基石/video/15 - 4 - V-Fold Cross Validation (10-41).mp49.17MB

机器学习基石/video/11 - 4 - Multiclass via Binary Classification (11-35).mp49.36MB

机器学习基石/video/11 - 2 - Stochastic Gradient Descent (11-39).mp49.96MB

机器学习基石/video/7 - 2 - VC Dimension of Perceptrons (13-27).mp49.97MB

机器学习基石/video/16 - 2 - Sampling Bias (11-50).mp410.26MB

机器学习基石/video/15 - 2 - Validation (13-24).mp410.47MB

机器学习基石/video/1 - 4 - Components of Machine Learning (11-45).mp410.66MB

机器学习基石/video/7 - 1 - Definition of VC Dimension (13-10).mp410.67MB

机器学习基石/video/16 - 3 - Data Snooping (12-28).mp410.8MB

机器学习基石/video/8 - 3 - Algorithmic Error Measure (13-46).mp410.98MB

机器学习基石/video/14 - 4 - General Regularizers (13-28).mp411.24MB

机器学习基石/video/11 - 3 - Multiclass via Logistic Regression (14-18).mp411.28MB

机器学习基石/video/5 - 1 - Recap and Preview (13-44).mp411.35MB

机器学习基石/video/13 - 2 - The Role of Noise and Data Size (13-36).mp411.4MB

机器学习基石/video/8 - 2 - Error Measure (15-10).mp411.4MB

机器学习基石/video/6 - 1 - Restriction of Break Point (14-18).mp411.52MB

机器学习基石/video/6 - 3 - Bounding Function- Inductive Cases (14-47).mp411.64MB

机器学习基石/video/13 - 3 - Deterministic Noise (14-07).mp411.92MB

机器学习基石/video/10 - 1 - Logistic Regression Problem (14-33).mp411.94MB

机器学习基石/video/10 - 2 - Logistic Regression Error (15-58).mp411.96MB

机器学习基石/video/1 - 5 - Machine Learning and Other Fields (10-21).mp411.97MB

机器学习基石/video/15 - 3 - Leave-One-Out Cross Validation (16-06).mp412.27MB

机器学习基石/video/10 - 3 - Gradient of Logistic Regression Error (15-38).mp412.37MB

机器学习基石/video/12 - 3 - Price of Nonlinear Transform (15-37).mp412.55MB

机器学习基石/video/5 - 2 - Effective Number of Lines (15-26).mp412.57MB

机器学习基石/video/6 - 4 - A Pictorial Proof (16-01).mp412.85MB

机器学习基石/video/8 - 4 - Weighted Classification (16-54).mp413.11MB

机器学习基石/video/5 - 3 - Effective Number of Hypotheses (16-17).mp413.12MB

机器学习基石/video/15 - 1 - Model Selection Problem (16-00).mp413.26MB

机器学习基石/video/7 - 4 - Interpreting VC Dimension (17-13).mp413.55MB

机器学习基石/video/1 - 1 - Course Introduction (10-58).mp413.79MB

机器学习基石/video/8 - 1 - Noise and Probabilistic Target (17-01).mp413.93MB

机器学习基石/video/2 - 3 - Guarantee of PLA (12-37).mp414.45MB

机器学习基石/video/9 - 2 - Linear Regression Algorithm (20-03).mp414.51MB

机器学习基石/video/10 - 4 - Gradient Descent (19-18).mp414.91MB

机器学习基石/video/14 - 1 - Regularized Hypothesis Set (19-16).mp415.18MB

机器学习基石/video/9 - 3 - Generalization Issue (20-34).mp415.28MB

机器学习基石/video/1 - 2 - What is Machine Learning (18-28).mp415.94MB

机器学习基石/video/2 - 2 - Perceptron Learning Algorithm (PLA) (19-46).mp416.61MB

机器学习基石/video/11 - 1 - Linear Models for Binary Classification (21-35).mp416.91MB

机器学习基石/video/12 - 1 - Quadratic Hypothesis (23-47).mp417.92MB

机器学习基石/video/14 - 2 - Weight Decay Regularization (24-08).mp418.54MB

机器学习基石/video/2 - 1 - Perceptron Hypothesis Set (15-42).mp418.55MB

机器学习基石/video/1 - 3 - Applications of Machine Learning (18-56).mp422.31MB

机器学习基石/video/4 - 3 - Learning with Different Protocol (11-09).mp431.41MB

机器学习基石/video/2 - 4 - Non-Separable Data (12-55).mp433.75MB

机器学习基石/video/4 - 4 - Learning with Different Input Space (14-13).mp440.89MB

机器学习基石/video/3 - 2 - Probability to the Rescue (11-33).mp446.3MB

机器学习基石/video/4 - 2 - Learning with Different Data Label (18-12).mp450.14MB

机器学习基石/video/3 - 1 - Learning is Impossible- (13-32).mp452.41MB

机器学习基石/video/3 - 3 - Connection to Learning (16-46).mp472.64MB

机器学习基石/video/4 - 1 - Learning with Different Output Space (17-26).mp476.25MB

机器学习基石/video/3 - 4 - Connection to Real Learning (18-06).mp478.91MB