Lynda - AWS Machine Learning by Example
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2018-11-7 08:55 | 2024-11-19 23:18 | 98 | 210.14 MB | 32 |
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种子下载(838888不存储任何种子文件)
文件列表
- 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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