Lynda AWS Machine Learning by Example | BCFAD4BECFF28F728A0B78BCD85520C5A3878E23

Lynda AWS Machine Learning by Example

Name	Lynda - AWS Machine Learning by Example	DOWNLOAD Copy Link
Total Size	249.4 MB
Total Files	65
Hash	BCFAD4BECFF28F728A0B78BCD85520C5A3878E23

/Exercise Files/
Ex_Files_AWS_ML_Example.zip	28.9 MB
/1.Introduction/
01.Welcome.mp4	4.7 MB
02.What you should know before watching this course.en.srt	4.7 KB
02.What you should know before watching this course.mp4	3.7 MB
03.Setting up an AWS account.en.srt	2.9 KB
03.Setting up an AWS account.mp4	5.0 MB
01.Welcome.en.srt	1.7 KB
/2.1. Introduction to Machine Learning/
04.Machine learning overview.en.srt	3.1 KB
04.Machine learning overview.mp4	2.6 MB
05.Learning algorithms and hyperparameters.en.srt	6.6 KB
05.Learning algorithms and hyperparameters.mp4	7.7 MB
06.Steps in AWS machine learning.en.srt	2.0 KB
06.Steps in AWS machine learning.mp4	2.5 MB
/4.2. Binary Model/
07.Exploring our binary model data set.en.srt	4.0 KB
07.Exploring our binary model data set.mp4	5.9 MB
08.Preparing our data for AWS.en.srt	7.5 KB
08.Preparing our data for AWS.mp4	17.4 MB
09.Creating a datasource.en.srt	4.4 KB
09.Creating a datasource.mp4	5.6 MB
10.Confirming AWS machine learning schema.en.srt	6.7 KB
10.Confirming AWS machine learning schema.mp4	14.2 MB
11.Creating a binary classification model.en.srt	4.5 KB
11.Creating a binary classification model.mp4	5.0 MB
12.Understanding binary model's predictive performance.en.srt	9.5 KB
12.Understanding binary model's predictive performance.mp4	8.5 MB
13.Setting binary model's predictive performance.en.srt	4.2 KB
13.Setting binary model's predictive performance.mp4	7.7 MB
14.Using the binary classification model to generate predictions.en.srt	5.2 KB
14.Using the binary classification model to generate predictions.mp4	5.9 MB
15.Creating batch predictions in AWS machine learning.en.srt	5.3 KB
15.Creating batch predictions in AWS machine learning.mp4	10.7 MB
16.Binary classification model environment cleanup.en.srt	1.3 KB
16.Binary classification model environment cleanup.mp4	2.8 MB
/5.3. Multiclass Model/
17.Exploring our multiclass model data set.en.srt	5.5 KB
17.Exploring our multiclass model data set.mp4	8.5 MB
18.Multiclass data preparation.en.srt	7.0 KB
18.Multiclass data preparation.mp4	12.5 MB
19.AWS multiclass machine learning model.en.srt	4.4 KB
19.AWS multiclass machine learning model.mp4	6.3 MB
20.Predictions and evaluations of multiclass learning model.en.srt	5.2 KB
20.Predictions and evaluations of multiclass learning model.mp4	5.4 MB
21.Generate predictions for AWS multiclass.en.srt	4.7 KB
21.Generate predictions for AWS multiclass.mp4	9.8 MB
22.Creating multiclass batch predictions.en.srt	4.6 KB
22.Creating multiclass batch predictions.mp4	10.3 MB
23.Interpreting batch predictions.en.srt	6.7 KB
23.Interpreting batch predictions.mp4	11.5 MB
24.Clean multiclass model environment.en.srt	1.5 KB
24.Clean multiclass model environment.mp4	2.3 MB
/6.4. Regression Model/
25.Exploring our regression model data set.en.srt	2.9 KB
25.Exploring our regression model data set.mp4	6.4 MB
26.Regression data preparation.en.srt	5.6 KB
26.Regression data preparation.mp4	10.8 MB
27.Creation of an AWS machine learning model.en.srt	2.6 KB
27.Creation of an AWS machine learning model.mp4	3.5 MB
28.Predictions and evaluations of a machine learning model.en.srt	7.5 KB
28.Predictions and evaluations of a machine learning model.mp4	6.8 MB
29.Regression batch predictions.en.srt	4.0 KB
29.Regression batch predictions.mp4	7.6 MB
30.Clean regression model environment.en.srt	1.2 KB
30.Clean regression model environment.mp4	2.1 MB
/7.5. Overview of Other AWS Capabilities/
31.SageMaker, Deep Learning AMI, Apache MXNet.en.srt	5.1 KB
31.SageMaker, Deep Learning AMI, Apache MXNet.mp4	5.1 MB
/8.Conclusion/
32.Next steps.en.srt	1.3 KB
32.Next steps.mp4	1.6 MB
Total files 65