种子简介
种子名称：
Lynda - AWS Machine Learning by Example
文件类型：
视频
文件数目：
32个文件
文件大小：
210.14 MB
收录时间：
2018-11-7 08:55
已经下载：
3次
资源热度：
110
最近下载：
2024-12-26 17:44
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Lynda - AWS Machine Learning by Example.torrent
1.Introduction/01.Welcome.mp44.44MB
1.Introduction/02.What you should know before watching this course.mp43.52MB
1.Introduction/03.Setting up an AWS account.mp44.8MB
2.1. Introduction to Machine Learning/04.Machine learning overview.mp42.44MB
2.1. Introduction to Machine Learning/05.Learning algorithms and hyperparameters.mp47.3MB
2.1. Introduction to Machine Learning/06.Steps in AWS machine learning.mp42.4MB
4.2. Binary Model/07.Exploring our binary model data set.mp45.65MB
4.2. Binary Model/08.Preparing our data for AWS.mp416.58MB
4.2. Binary Model/09.Creating a datasource.mp45.36MB
4.2. Binary Model/10.Confirming AWS machine learning schema.mp413.53MB
4.2. Binary Model/11.Creating a binary classification model.mp44.73MB
4.2. Binary Model/12.Understanding binary model's predictive performance.mp48.13MB
4.2. Binary Model/13.Setting binary model's predictive performance.mp47.38MB
4.2. Binary Model/14.Using the binary classification model to generate predictions.mp45.61MB
4.2. Binary Model/15.Creating batch predictions in AWS machine learning.mp410.16MB
4.2. Binary Model/16.Binary classification model environment cleanup.mp42.64MB
5.3. Multiclass Model/17.Exploring our multiclass model data set.mp48.14MB
5.3. Multiclass Model/18.Multiclass data preparation.mp411.95MB
5.3. Multiclass Model/19.AWS multiclass machine learning model.mp46.04MB
5.3. Multiclass Model/20.Predictions and evaluations of multiclass learning model.mp45.13MB
5.3. Multiclass Model/21.Generate predictions for AWS multiclass.mp49.34MB
5.3. Multiclass Model/22.Creating multiclass batch predictions.mp49.85MB
5.3. Multiclass Model/23.Interpreting batch predictions.mp410.93MB
5.3. Multiclass Model/24.Clean multiclass model environment.mp42.23MB
6.4. Regression Model/25.Exploring our regression model data set.mp46.1MB
6.4. Regression Model/26.Regression data preparation.mp410.32MB
6.4. Regression Model/27.Creation of an AWS machine learning model.mp43.37MB
6.4. Regression Model/28.Predictions and evaluations of a machine learning model.mp46.45MB
6.4. Regression Model/29.Regression batch predictions.mp47.22MB
6.4. Regression Model/30.Clean regression model environment.mp42.02MB
7.5. Overview of Other AWS Capabilities/31.SageMaker, Deep Learning AMI, Apache MXNet.mp44.87MB
8.Conclusion/32.Next steps.mp41.52MB
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