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Udemy 2020 AWS SageMaker AI and Machine Learning With Python TP

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Type:

Tutorials

Language:

English

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Files:

1. Introduction.mp4 3.6 MB
1.1 Machine Learning at AWS Introduction_WM.pdf.pdf 62.8 KB
2. Root Account Setup and Billing Dashboard Overview.mp4 6.0 MB
2.1 AWS HouseKeeping_WM.pdf.pdf 112.9 KB
3. Enable Access to Billing Data for IAM Users.mp4 9.7 MB
4. Create Users Required For the Course.mp4 25.8 MB
5. AWS Command Line Interface Tool Setup and Summary.mp4 7.2 MB
6. Six Advantages of Cloud Computing.mp4 30.3 MB
6.1 2018 AWSTop6ReasonsCloudComputing.pdf.pdf 105.4 KB
7. AWS Global Infrastructure Overview.mp4 40.1 MB
1. Downloadable Resources.html 159 bytes
1.1 AWS SageMaker Hyperparameter Tuning.pdf.pdf 71.0 KB
1.2 FM-Autotuning-Lab-Configuration.xlsx.xlsx 10.6 KB
2. Introduction to Hyperparameter Tuning.mp4 42.4 MB
3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 154.0 MB
4. Lab Step 2 Tuning Movie Rating Recommender System.mp4 48.1 MB
1. 2019 MARCH - Important Update AWS Machine Learning Service Deprecated.html 837 bytes
10. Data Types supported by AWS Machine Learning.mp4 5.3 MB
11. Linear Regression Introduction.mp4 12.7 MB
12. Binary Classification Introduction.mp4 9.2 MB
13. Multiclass Classification Introduction.mp4 6.0 MB
14. Data Visualization - Linear, Log, Quadratic and More.mp4 17.4 MB
15. Algorithm and Terminology Quiz.html 152 bytes
2. Python Development Environment and Boto3 Setup.mp4 15.0 MB
3. Project Source Code and Data Setup.mp4 10.0 MB
3.1 ProjectSetup.zip.zip 1.6 MB
4. Lab Intro to Python Jupyter Notebook Environment, Pandas, Matplotlib.mp4 31.8 MB
5. Lab AWS S3 Bucket Setup and Configure Security.mp4 18.1 MB
6. Summary.mp4 2.2 MB
7. Introduction and House Keeping Quiz.html 152 bytes
8. Optional Machine Learning Where To Start (Article).html 6.5 KB
9. Machine Learning Terminology.mp4 7.0 MB
1. Lab Linear Model, Squared Error Loss Function, Stochastic Gradient Descent.mp4 31.3 MB
2. Lab Linear Regression for complex shapes.mp4 11.4 MB
3. Summary.mp4 3.9 MB
4. Linear Regression Quiz.html 152 bytes
1. Lab Simple Training Data.mp4 15.5 MB
10. AWS Regression Metrics Quiz.html 152 bytes
2. Lab Datasource.mp4 28.9 MB
3. Lab Train Model with default recipe.mp4 9.8 MB
4. AWS Models Quiz.html 152 bytes
5. Concept - How to evaluate regression model accuracy.mp4 9.5 MB
6. Lab Evaluate predictive quality of the trained model.mp4 28.7 MB
7. Lab Review Default Recipe Settings Used To Train model.mp4 4.6 MB
8. Lab Train Model With Custom Recipe and Review Performance.mp4 22.1 MB
9. Model Performance Summary and Conclusion.mp4 5.1 MB
1. Lab Quadratic Fit Training Data.mp4 15.4 MB
2. Lab Underfitting With Linear Features.mp4 44.9 MB
3. Lab Normal Fit With Quadratic Features.mp4 27.3 MB
4. Summary.mp4 3.3 MB
1. Lab Impact of Features With Different Magnitude.mp4 37.7 MB
2. Concept Normalization to smoothen magnitude differences.mp4 13.2 MB
3. Lab Train Model With Feature Normalizaton.mp4 23.0 MB
4. Summary.mp4 3.2 MB
5. Underfitting and Normalization Quiz.html 152 bytes
1. Lab Prepare Training Data.mp4 8.1 MB
2. Lab Adding Complex Features.mp4 4.8 MB
3. Lab Train Model With Higher Order Features.mp4 26.5 MB
4. Lab Performance Of Model With Degree 1 Features.mp4 7.0 MB
5. Lab Performance of Model with Degree 4 Features.mp4 6.6 MB
6. Lab Performance of Model With Degree 15 Features.mp4 3.7 MB
7. Summary.mp4 3.7 MB
1. Review Kaggle Bike Train Problem And Dataset.mp4 37.9 MB
2. Lab Train Model To Predict Hourly Rental.mp4 13.3 MB
3. Lab Evaluate Prediction Quality.mp4 23.1 MB
4. Linear Regression Wrapup and Summary.mp4 3.4 MB
1. Binary Classification - Logistic Regression, Loss Function, Optimization.mp4 19.7 MB
2. Lab Binary Classification Approach.mp4 19.6 MB
3. True Positive, True Negative, False Positive and False Negative.mp4 18.7 MB
4. Lab Logistic Optimization Objectives.mp4 12.6 MB
5. Lab Logistic Cost Function.mp4 7.5 MB
6. Lab Cost Example.mp4 9.1 MB
7. Optimizing Weights.mp4 9.2 MB
8. Summary.mp4 7.0 MB
9. Logistic Regression Quiz.html 152 bytes
1. Problem Objective, Input Data and Strategy.mp4 22.4 MB
10. Lab Batch Prediction and Compute Metrics.mp4 22.7 MB
11. Summary.mp4 4.4 MB
12. Logistic Regression Metrics Quiz.html 152 bytes
2. Lab Prepare For Training.mp4 8.6 MB
3. Lab Training a Classification Model.mp4 13.2 MB
4. Concept Classification Metrics.mp4 10.3 MB
5. Concept Classification Insights with AWS Histograms.mp4 12.6 MB
6. Concept AUC Metric.mp4 4.2 MB
7. Lab Review Diabetes Model Performance.mp4 18.0 MB
8. Lab Cutoff Threshold Interactive Testing.mp4 6.2 MB
9. Lab Evaluating Prediction Quality With Additional Dataset.mp4 19.9 MB
1. Downloadable Resources.html 166 bytes
1.1 SourceCode and Data Setup.pdf.pdf 179.4 KB
1.2 AWS Introduction ML Concepts.pdf.pdf 266.9 KB
2. Demo - S3 Bucket Setup.mp4 20.6 MB
3. Demo - Setup SageMaker Notebook Instance.mp4 41.9 MB
4. 2019 Demo - Source Code and Data Setup.mp4 33.3 MB
1. Lab Iris Classifcation.mp4 21.1 MB
2. Lab Train Classifier with Default and Custom Recipe.mp4 23.6 MB
3. Concept Evaluating Predictive Quality of Multiclass Classifiers.mp4 5.0 MB
4. Concept Confusion Matrix To Evaluating Predictive Quality.mp4 10.0 MB
5. Lab Evaluate Performance of Iris Classifiers using Default Recipe.mp4 13.4 MB
6. Lab Evaluate Performance of Iris Classifiers using Custom Recipe.mp4 9.9 MB
7. Lab Batch Prediction and Computing Metrics using Python Code.mp4 26.9 MB
8. Summary.mp4 6.6 MB
1. AWS Twitter Feed Classification for Customer Service.mp4 14.6 MB
2. Lab Train, Evaluate Model and Assess Predictive Quality.mp4 29.0 MB
3. Lab Interactive Prediction with AWS.mp4 11.7 MB
4. Logistic Regression Summary.mp4 1.5 MB
1. Recipe Overview.mp4 8.5 MB
2. Recipe Example.mp4 10.2 MB
3. Text Transformation.mp4 13.3 MB
4. Numeric Transformation - Quantile Binning.mp4 4.6 MB
5. Numeric Transformation - Normalization.mp4 7.0 MB
6. Cartesian Product Transformation - Categorical and Text.mp4 3.9 MB
7. Summary.mp4 711.9 KB
1. Introduction.mp4 1.0 MB
2. Data Rearrangement, Maximum Model Size, Passes, Shuffle Type.mp4 15.3 MB
3. Regularization, Learning Rate.mp4 5.8 MB
4. Regularization Effect.mp4 5.9 MB
5. Improving Model Quality.mp4 14.1 MB
6. Model Maintenance.mp4 13.2 MB
7. AWS Machine Learning System Limits.mp4 4.3 MB
8. AWS Machine Learning Pricing.mp4 4.9 MB
1. Introduction.mp4 5.3 MB
10. Demo Allowing Prediction Only For Registered Users.mp4 3.5 MB
11. Cognito Overview.mp4 3.6 MB
12. Lab Cognito User Pool Configuration.mp4 19.6 MB
13. Lab AngularJS Web Client - Invoke Prediction for authorized users.mp4 42.0 MB
14. Lab Invoke Machine Learning Service From AWS EC2 Instance.mp4 16.0 MB
15. Summary.mp4 884.6 KB
2. Integration Scenarios.mp4 4.6 MB
3. Security using IAM.mp4 7.3 MB
4. Hands-on lab - List of Demos and Objective.mp4 4.9 MB
5. Lab Enable Real Time End Point and Configure IAM Prediction User.mp4 18.8 MB
6. Lab Invoking Prediction From AWS Command Line Interface.mp4 15.1 MB
6.1 aws_ml_command_line.txt.txt 635 bytes
7. Lab Invoking Prediction From Python Client.mp4 10.5 MB
8. Lab Python Client to Train, Evaluate Models and Integrate with AWS.mp4 37.4 MB
9. Lab Invoking Prediction From Web Page AngularJS Client.mp4 20.4 MB
1. Mushroom Classification.html 972 bytes
1.1 MushroomData_Class.csv.csv 373.2 KB
1. BONUS Learn Advanced Data Processing Techniques, Cloud Computing and More.html 8.5 KB
2. Conclusion.mp4 1.3 MB
1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4 70.2 MB
2. 2019 Data Types - How to handle mixed data types.mp4 102.2 MB
3. 2019 Introduction to Python Notebook Environment.mp4 85.6 MB
4. 2019 Introduction to working with Missing Data.mp4 81.7 MB
5. 2019 Data Visualization - Linear, Log, Quadratic and More.mp4 37.8 MB
1. Downloadable Resources.html 272 bytes
1.1 AWS SageMaker_WM.pdf.pdf 221.3 KB
2. SageMaker Overview.mp4 13.8 MB
3. Compute Instance Families and Pricing.mp4 19.8 MB
4. Algorithms and Data Formats Supported For Training and Inference.mp4 9.6 MB
1. Introduction to XGBoost.mp4 72.6 MB
10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4 127.2 MB
11. Demo - Invoking SageMaker Model Endpoints For Real Time Predictions.mp4 45.3 MB
12. Demo - Invoking SageMaker Model Endpoints From Client Outside of AWS.mp4 27.7 MB
13. How to remove SageMaker endpoints and Shutdown Notebook Instance.html 903 bytes
13.1 20. How to remove SageMaker endpoints and Shutdown Notebook Instance.pdf.pdf 28.5 KB
14. Creating EndPoint From Existing Model Artifacts.html 476 bytes
15. XGBoost Hyper Parameter Tuning.mp4 51.2 MB
16. Demo - XGBoost Multi-Class Classification Iris Data.mp4 81.8 MB
17. Demo - XGBoost Binary Classifier For Diabetes Prediction.mp4 45.2 MB
18. Demo - XGBoost Binary Classifier for Edible Mushroom Prediction.mp4 47.4 MB
19. Summary - XGBoost.mp4 13.2 MB
2. Source Code Overview.mp4 17.1 MB
3. Demo - Create Files in SageMaker Data Formats and Save Files To S3.mp4 63.1 MB
4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4 99.7 MB
5. Demo - XGBoost Example with Quadratic Fit.mp4 34.8 MB
6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4 97.1 MB
7. Demo - Kaggle Bike Rental Model Version 1.mp4 96.2 MB
8. Demo - Kaggle Bike Rental Model Version 2.mp4 41.9 MB
9. Demo - Kaggle Bike Rental Model Version 3.mp4 35.5 MB
1. Downloadable Resources.html 273 bytes
1.1 AWS SageMakerPCA_WM.pdf.pdf 118.7 KB
10. Demo - PCA Projection with SageMaker.mp4 24.3 MB
11. Exercise Kaggle Bike Train and PCA.html 720 bytes
12. Summary.mp4 6.7 MB
2. Introduction to Principal Component Analysis (PCA).mp4 52.6 MB
3. PCA Demo Overview.mp4 5.1 MB
4. Demo - PCA with Random Dataset.mp4 26.6 MB
5. Demo - PCA with Correlated Dataset.mp4 47.2 MB
6. Cleanup Resources on SageMaker.html 903 bytes
7. Demo - PCA with Kaggle Bike Sharing - Overview and Normalization.mp4 32.8 MB
8. Demo - PCA Local Model with Kaggle Bike Train.mp4 30.5 MB
9. Demo - PCA training with SageMaker.mp4 38.7 MB
1. Downloadable Resources.html 290 bytes
1.1 2. AWS SageMakerFactorizationMachine_WM.pdf.pdf 133.8 KB
2. Introduction to Factorization Machines.mp4 36.1 MB
3. MovieLens Dataset.html 281 bytes
4. Demo - Movie Recommender Data Preparation.mp4 90.7 MB
5. Demo - Movie Recommender Model Training.mp4 49.1 MB
6. Demo - Movie Predictions By User.mp4 69.0 MB
1. Downloadable Resources.html 273 bytes
1.1 AWS SageMakerDeepAR_WM.pdf.pdf 176.0 KB
10. Demo - DeepAR Dynamic Features Training and Prediction.mp4 26.9 MB
11. Summary.mp4 11.0 MB
2. Introduction to DeepAR Time Series Forecasting.mp4 75.8 MB
3. DeepAR Training and Inference Formats.mp4 89.4 MB
4. Working with Time Series Data, Handling Missing Values.mp4 65.9 MB
5. Demo - Bike Rental as Time Series Forecasting Problem.mp4 105.0 MB
6. Demo - Bike Rental Model Training.mp4 77.3 MB
7. Demo - Bike Rental Prediction.mp4 48.6 MB
8. Demo - DeepAR Categories.mp4 64.6 MB
9. Demo - DeepAR Dynamic Features Data Preparation.mp4 67.6 MB
1. Downloadable Resources.html 145 bytes
1.1 AWS SageMaker Integration.pdf.pdf 116.6 KB
1.2 Local Machine - Housekeeping.pdf.pdf 200.9 KB
2. Integration Overview.mp4 11.8 MB
3. Install Python and Boto3 - Local Machine.mp4 13.6 MB
4. Install SageMaker SDK, GIT Client, Source Code, Security Permissions.html 154 bytes
4.1 Local Machine - Housekeeping.pdf.pdf 200.9 KB
5. Client to Endpoint using SageMaker SDK.mp4 77.0 MB
6. Client to Endpoint using Boto3 SDK.mp4 38.3 MB
7. Microservice - Lambda to Endpoint - Payload.mp4 23.7 MB
8. Microservice - Lambda to Endpoint.mp4 74.2 MB
9. Microservice - API Gateway, Lambda to Endpoint.mp4 84.1 MB
[Tutorialsplanet.NET].url 128 bytes

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