Lynda - AWS Machine Learning by Example

磁力链接/BT种子名称

Lynda - AWS Machine Learning by Example

磁力链接/BT种子简介

种子哈希：bcfad4becff28f728a0b78bcd85520c5a3878e23
文件大小：237.84M
已经下载：1749次
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收录时间：2018-06-03
最近下载：2025-01-03

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文件列表

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

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