种子简介

种子名称： [FreeCoursesOnline.Me] Pluralsight - Creating Machine Learning Models
文件类型： 视频
文件数目： 42个文件
文件大小： 382.77 MB
收录时间： 2020-11-26 02:52
已经下载： 3次
资源热度： 115
最近下载： 2024-6-14 18:01

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:85a166d9dde8bd9d31faf588af0cf89a0e110fc3&dn=[FreeCoursesOnline.Me] Pluralsight - Creating Machine Learning Models 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

[FreeCoursesOnline.Me] Pluralsight - Creating Machine Learning Models.torrent

01.Course Overview/01.01.Course Overview.mp49.94MB

02.Understanding Approaches to Machine Learning/02.01.Module Overview.mp46.51MB

02.Understanding Approaches to Machine Learning/02.02.Prerequisites and Course Outline.mp44.79MB

02.Understanding Approaches to Machine Learning/02.03.Rule-based vs. ML-based Learning.mp413.57MB

02.Understanding Approaches to Machine Learning/02.04.Traditional ML vs. Representation ML.mp47MB

02.Understanding Approaches to Machine Learning/02.05.The Machine Learning Workflow.mp46MB

02.Understanding Approaches to Machine Learning/02.06.Choosing the Right Model Based on Data.mp410.49MB

02.Understanding Approaches to Machine Learning/02.07.Supervised vs. Unsupervised Learning.mp49.26MB

02.Understanding Approaches to Machine Learning/02.08.Transfer Learning, Cold Start ML and Warm Start ML.mp410.08MB

02.Understanding Approaches to Machine Learning/02.09.Popular Machine Learning Frameworks.mp46.53MB

02.Understanding Approaches to Machine Learning/02.10.Demo Getting Started with scikit-learn.mp44.35MB

02.Understanding Approaches to Machine Learning/02.11.Module Summary.mp42.67MB

03.Understanding and Implementing Regression Models/03.01.Module Overview.mp42.36MB

03.Understanding and Implementing Regression Models/03.02.Building and Evaluating Regression Models.mp49.32MB

03.Understanding and Implementing Regression Models/03.03.Demo Linear Regression Using Numeric Features.mp417.62MB

03.Understanding and Implementing Regression Models/03.04.Demo Exploring Regression Data.mp49.68MB

03.Understanding and Implementing Regression Models/03.05.Demo Preprocessing Numeric and Categorical Data and Fitting a Regression Model.mp410.47MB

03.Understanding and Implementing Regression Models/03.06.Choosing Regression Algorithms.mp44.93MB

03.Understanding and Implementing Regression Models/03.07.Regularized Regression Models Lasso, Ridge, and Elastic Net.mp47.37MB

03.Understanding and Implementing Regression Models/03.08.Stochastic Gradient Descent.mp44.35MB

03.Understanding and Implementing Regression Models/03.09.Demo Multiple Types of Regression.mp412.02MB

03.Understanding and Implementing Regression Models/03.10.Module Summary.mp42.58MB

04.Understanding and Implementing Classification Models/04.01.Module Overview.mp42.26MB

04.Understanding and Implementing Classification Models/04.02.Types of Classifiers.mp47.96MB

04.Understanding and Implementing Classification Models/04.03.Understanding Logistic Regression Intuitively.mp49.96MB

04.Understanding and Implementing Classification Models/04.04.Demo Building and Training a Binary Classification Model.mp413.77MB

04.Understanding and Implementing Classification Models/04.05.Understanding Support Vector and Nearest Neighbors Classification.mp47.49MB

04.Understanding and Implementing Classification Models/04.06.Understanding Decision Tree and Naive Bayes Classification.mp49.93MB

04.Understanding and Implementing Classification Models/04.07.Demo Building Classification Models Using Multiple Techniques.mp415.46MB

04.Understanding and Implementing Classification Models/04.08.Demo Using Warm Start with an Ensemble Classifier.mp46.56MB

04.Understanding and Implementing Classification Models/04.09.Demo Performing Multiclass Classification on Text Data.mp414.87MB

04.Understanding and Implementing Classification Models/04.10.Module Summary.mp41.99MB

05.Understanding and Implementing Clustering Model/05.01.Module Overview.mp42.21MB

05.Understanding and Implementing Clustering Model/05.02.Clustering as an Unsupervised Learning Technique.mp47.56MB

05.Understanding and Implementing Clustering Model/05.03.Choosing Clustering Algorithms.mp47.36MB

05.Understanding and Implementing Clustering Model/05.04.Categorizing Clustering Algorithms.mp45.75MB

05.Understanding and Implementing Clustering Model/05.05.K-means Clustering.mp45.01MB

05.Understanding and Implementing Clustering Model/05.06.Hierarchical Clustering.mp46.84MB

05.Understanding and Implementing Clustering Model/05.07.Demo Performing K-means Clustering on Unlabeled Data.mp411.85MB

05.Understanding and Implementing Clustering Model/05.08.Demo Clustering Using Labeled Data.mp418.19MB

05.Understanding and Implementing Clustering Model/05.09.Demo Agglomerative Clustering.mp449.22MB

05.Understanding and Implementing Clustering Model/05.10.Summary and Further Study.mp46.62MB