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Lynda - AWS Machine Learning by Example
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2018-11-7 08:55
2024-11-19 23:18
98
210.14 MB
32
磁力链接
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迅雷链接
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相关链接
Lynda
-
AWS
Machine
Learning
by
Example
文件列表
1.Introduction/01.Welcome.mp4
4.44MB
1.Introduction/02.What you should know before watching this course.mp4
3.52MB
1.Introduction/03.Setting up an AWS account.mp4
4.8MB
2.1. Introduction to Machine Learning/04.Machine learning overview.mp4
2.44MB
2.1. Introduction to Machine Learning/05.Learning algorithms and hyperparameters.mp4
7.3MB
2.1. Introduction to Machine Learning/06.Steps in AWS machine learning.mp4
2.4MB
4.2. Binary Model/07.Exploring our binary model data set.mp4
5.65MB
4.2. Binary Model/08.Preparing our data for AWS.mp4
16.58MB
4.2. Binary Model/09.Creating a datasource.mp4
5.36MB
4.2. Binary Model/10.Confirming AWS machine learning schema.mp4
13.53MB
4.2. Binary Model/11.Creating a binary classification model.mp4
4.73MB
4.2. Binary Model/12.Understanding binary model's predictive performance.mp4
8.13MB
4.2. Binary Model/13.Setting binary model's predictive performance.mp4
7.38MB
4.2. Binary Model/14.Using the binary classification model to generate predictions.mp4
5.61MB
4.2. Binary Model/15.Creating batch predictions in AWS machine learning.mp4
10.16MB
4.2. Binary Model/16.Binary classification model environment cleanup.mp4
2.64MB
5.3. Multiclass Model/17.Exploring our multiclass model data set.mp4
8.14MB
5.3. Multiclass Model/18.Multiclass data preparation.mp4
11.95MB
5.3. Multiclass Model/19.AWS multiclass machine learning model.mp4
6.04MB
5.3. Multiclass Model/20.Predictions and evaluations of multiclass learning model.mp4
5.13MB
5.3. Multiclass Model/21.Generate predictions for AWS multiclass.mp4
9.34MB
5.3. Multiclass Model/22.Creating multiclass batch predictions.mp4
9.85MB
5.3. Multiclass Model/23.Interpreting batch predictions.mp4
10.93MB
5.3. Multiclass Model/24.Clean multiclass model environment.mp4
2.23MB
6.4. Regression Model/25.Exploring our regression model data set.mp4
6.1MB
6.4. Regression Model/26.Regression data preparation.mp4
10.32MB
6.4. Regression Model/27.Creation of an AWS machine learning model.mp4
3.37MB
6.4. Regression Model/28.Predictions and evaluations of a machine learning model.mp4
6.45MB
6.4. Regression Model/29.Regression batch predictions.mp4
7.22MB
6.4. Regression Model/30.Clean regression model environment.mp4
2.02MB
7.5. Overview of Other AWS Capabilities/31.SageMaker, Deep Learning AMI, Apache MXNet.mp4
4.87MB
8.Conclusion/32.Next steps.mp4
1.52MB
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