Lynda - AWS Machine Learning by Example

Creation Time	Oct. 2, 2023, 12:28 p.m.
Last Access Time	Nov. 24, 2024, 11:18 a.m.
File Size	237.8 MB
Keywords	Lynda - AWS Machine Learning by Example
Total Requests	42
Total Files	65
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Exercise Files/Ex_Files_AWS_ML_Example.zip 27.6 MB
4.2. Binary Model/08.Preparing our data for AWS.mp4 16.6 MB
4.2. Binary Model/10.Confirming AWS machine learning schema.mp4 13.5 MB
5.3. Multiclass Model/18.Multiclass data preparation.mp4 12.0 MB
5.3. Multiclass Model/23.Interpreting batch predictions.mp4 10.9 MB
6.4. Regression Model/26.Regression data preparation.mp4 10.3 MB
4.2. Binary Model/15.Creating batch predictions in AWS machine learning.mp4 10.2 MB
5.3. Multiclass Model/22.Creating multiclass batch predictions.mp4 9.9 MB
5.3. Multiclass Model/21.Generate predictions for AWS multiclass.mp4 9.3 MB
5.3. Multiclass Model/17.Exploring our multiclass model data set.mp4 8.1 MB
4.2. Binary Model/12.Understanding binary model's predictive performance.mp4 8.1 MB
4.2. Binary Model/13.Setting binary model's predictive performance.mp4 7.4 MB
2.1. Introduction to Machine Learning/05.Learning algorithms and hyperparameters.mp4 7.3 MB
6.4. Regression Model/29.Regression batch predictions.mp4 7.2 MB
6.4. Regression Model/28.Predictions and evaluations of a machine learning model.mp4 6.4 MB
6.4. Regression Model/25.Exploring our regression model data set.mp4 6.1 MB
5.3. Multiclass Model/19.AWS multiclass machine learning model.mp4 6.0 MB
4.2. Binary Model/07.Exploring our binary model data set.mp4 5.7 MB
4.2. Binary Model/14.Using the binary classification model to generate predictions.mp4 5.6 MB
4.2. Binary Model/09.Creating a datasource.mp4 5.4 MB
5.3. Multiclass Model/20.Predictions and evaluations of multiclass learning model.mp4 5.1 MB
7.5. Overview of Other AWS Capabilities/31.SageMaker, Deep Learning AMI, Apache MXNet.mp4 4.9 MB
1.Introduction/03.Setting up an AWS account.mp4 4.8 MB
4.2. Binary Model/11.Creating a binary classification model.mp4 4.7 MB
1.Introduction/01.Welcome.mp4 4.4 MB
1.Introduction/02.What you should know before watching this course.mp4 3.5 MB
6.4. Regression Model/27.Creation of an AWS machine learning model.mp4 3.4 MB
4.2. Binary Model/16.Binary classification model environment cleanup.mp4 2.6 MB
2.1. Introduction to Machine Learning/04.Machine learning overview.mp4 2.4 MB
2.1. Introduction to Machine Learning/06.Steps in AWS machine learning.mp4 2.4 MB
5.3. Multiclass Model/24.Clean multiclass model environment.mp4 2.2 MB
6.4. Regression Model/30.Clean regression model environment.mp4 2.0 MB
8.Conclusion/32.Next steps.mp4 1.5 MB
4.2. Binary Model/12.Understanding binary model's predictive performance.en.srt 9.3 KB
4.2. Binary Model/08.Preparing our data for AWS.en.srt 7.3 KB
6.4. Regression Model/28.Predictions and evaluations of a machine learning model.en.srt 7.3 KB
5.3. Multiclass Model/18.Multiclass data preparation.en.srt 6.8 KB
4.2. Binary Model/10.Confirming AWS machine learning schema.en.srt 6.6 KB
5.3. Multiclass Model/23.Interpreting batch predictions.en.srt 6.6 KB
2.1. Introduction to Machine Learning/05.Learning algorithms and hyperparameters.en.srt 6.5 KB
6.4. Regression Model/26.Regression data preparation.en.srt 5.5 KB
5.3. Multiclass Model/17.Exploring our multiclass model data set.en.srt 5.3 KB
4.2. Binary Model/15.Creating batch predictions in AWS machine learning.en.srt 5.2 KB
4.2. Binary Model/14.Using the binary classification model to generate predictions.en.srt 5.1 KB
5.3. Multiclass Model/20.Predictions and evaluations of multiclass learning model.en.srt 5.1 KB
7.5. Overview of Other AWS Capabilities/31.SageMaker, Deep Learning AMI, Apache MXNet.en.srt 5.0 KB
5.3. Multiclass Model/21.Generate predictions for AWS multiclass.en.srt 4.6 KB
1.Introduction/02.What you should know before watching this course.en.srt 4.6 KB
5.3. Multiclass Model/22.Creating multiclass batch predictions.en.srt 4.5 KB
4.2. Binary Model/11.Creating a binary classification model.en.srt 4.4 KB
4.2. Binary Model/09.Creating a datasource.en.srt 4.3 KB
5.3. Multiclass Model/19.AWS multiclass machine learning model.en.srt 4.3 KB
4.2. Binary Model/13.Setting binary model's predictive performance.en.srt 4.1 KB
6.4. Regression Model/29.Regression batch predictions.en.srt 3.9 KB
4.2. Binary Model/07.Exploring our binary model data set.en.srt 3.9 KB
2.1. Introduction to Machine Learning/04.Machine learning overview.en.srt 3.0 KB
1.Introduction/03.Setting up an AWS account.en.srt 2.9 KB
6.4. Regression Model/25.Exploring our regression model data set.en.srt 2.9 KB
6.4. Regression Model/27.Creation of an AWS machine learning model.en.srt 2.6 KB
2.1. Introduction to Machine Learning/06.Steps in AWS machine learning.en.srt 1.9 KB
1.Introduction/01.Welcome.en.srt 1.7 KB
5.3. Multiclass Model/24.Clean multiclass model environment.en.srt 1.5 KB
8.Conclusion/32.Next steps.en.srt 1.2 KB
4.2. Binary Model/16.Binary classification model environment cleanup.en.srt 1.2 KB
6.4. Regression Model/30.Clean regression model environment.en.srt 1.2 KB

Lynda - AWS Machine Learning by Example

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