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- 【影视】 2020 AWS SageMaker, AI and Machine Learning - With Python
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收录时间:2021-03-10
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2020 AWS SageMaker, AI and Machine Learning - With Python/11 E9 SageMaker HyperParameter Tuning/104 Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 161.5 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/09 SageMaker - DeepAR Time Series Forecasting/085 Demo - Bike Rental as Time Series Forecasting Problem.mp4 110.1 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/03 E9 Machine Learning Concepts/019 E9 Data Types - How to handle mixed data types.mp4 106.9 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/04 E9.7 Model Performance Evaluation/033 Multiclass Classifier.mp4 104.8 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/05 2020 SageMaker Service Overview/037 DataFormat.mp4 97.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/08 SageMaker - Factorization Machines/078 Demo - Movie Recommender Data Preparation.mp4 95.1 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/09 SageMaker - DeepAR Time Series Forecasting/083 DeepAR Training and Inference Formats.mp4 93.8 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/04 E9.7 Model Performance Evaluation/025 Regression Model Performance.mp4 91.1 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/03 E9 Machine Learning Concepts/020 E9 Introduction to Python Notebook Environment.mp4 89.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/12 2020 Artificial Intelligence (AI) Services/118 7. Amazon Rekognition.mp4 89.0 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/01 Introduction and Housekeeping/008 2020 Configure IAM Users Setup Command Line Interface (CLI).mp4 88.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/10 E9 Integration Options for Model Endpoint/101 Microservice - API Gateway Lambda to Endpoint.mp4 88.2 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/06 E9 XGBoost - Gradient Boosted Trees/044 E9 Lab - Training Simple Regression.mp4 87.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/03 E9 Machine Learning Concepts/021 E9 Introduction to working with Missing Data.mp4 85.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/09 SageMaker - DeepAR Time Series Forecasting/086 Demo - Bike Rental Model Training.mp4 81.0 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/10 E9 Integration Options for Model Endpoint/097 Client to Endpoint using SageMaker SDK.mp4 80.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/09 SageMaker - DeepAR Time Series Forecasting/082 Introduction to DeepAR Time Series Forecasting.mp4 79.5 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/10 E9 Integration Options for Model Endpoint/100 Microservice - Lambda to Endpoint.mp4 77.8 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/15 2020 Storage for Servers/156 2020 Elastic Block Store (EBS).mp4 77.4 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/01 Introduction and Housekeeping/003 2020 - Overview - AWS Machine Learning Specialty Exam.mp4 73.6 MB
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- 【压缩文件】 2019 AWS SageMaker and Machine Learning - With Python
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2019 AWS SageMaker and Machine Learning - With Python.zip 4.5 GB
Download more courses.url 123 Bytes
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- 【影视】 [FreeCourseLab.com] Udemy - 2019 AWS SageMaker and Machine Learning - With Python
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10. 2019 SageMaker HyperParameter Tuning/3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 161.5 MB
5. XGBoost - Gradient Boosted Trees/10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4 133.4 MB
8. SageMaker - DeepAR Time Series Forecasting/5. Demo - Bike Rental as Time Series Forecasting Problem.mp4 110.1 MB
3. 2019 Machine Learning Concepts/2. 2019 Data Types - How to handle mixed data types.mp4 107.2 MB
5. XGBoost - Gradient Boosted Trees/4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4 104.5 MB
5. XGBoost - Gradient Boosted Trees/6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4 101.8 MB
5. XGBoost - Gradient Boosted Trees/7. Demo - Kaggle Bike Rental Model Version 1.mp4 100.8 MB
7. SageMaker - Factorization Machines/4. Demo - Movie Recommender Data Preparation.mp4 95.1 MB
8. SageMaker - DeepAR Time Series Forecasting/3. DeepAR Training and Inference Formats.mp4 93.8 MB
3. 2019 Machine Learning Concepts/3. 2019 Introduction to Python Notebook Environment.mp4 89.7 MB
9. 2019 Integration Options - Model Endpoint/9. Microservice - API Gateway, Lambda to Endpoint.mp4 88.2 MB
5. XGBoost - Gradient Boosted Trees/16. Demo - XGBoost Multi-Class Classification Iris Data.mp4 85.8 MB
3. 2019 Machine Learning Concepts/4. 2019 Introduction to working with Missing Data.mp4 85.7 MB
8. SageMaker - DeepAR Time Series Forecasting/6. Demo - Bike Rental Model Training.mp4 81.0 MB
9. 2019 Integration Options - Model Endpoint/5. Client to Endpoint using SageMaker SDK.mp4 80.7 MB
8. SageMaker - DeepAR Time Series Forecasting/2. Introduction to DeepAR Time Series Forecasting.mp4 79.5 MB
9. 2019 Integration Options - Model Endpoint/8. Microservice - Lambda to Endpoint.mp4 77.8 MB
5. XGBoost - Gradient Boosted Trees/1. Introduction to XGBoost.mp4 76.1 MB
3. 2019 Machine Learning Concepts/1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4 73.6 MB
7. SageMaker - Factorization Machines/6. Demo - Movie Predictions By User.mp4 72.3 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - 2019 AWS SageMaker and Machine Learning - With Python.zip
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[ FreeCourseWeb.com ] Udemy - 2019 AWS SageMaker and Machine Learning - With Python.zip 4.5 GB
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- 【影视】 AWS SageMaker Practical for Beginners. Build 6 Projects
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收录时间:2021-03-18
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3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/30 - Coding Task #7 - Train a Linear Learner Model in AWS SageMaker.mp4 507.2 MB
4 - Project #2 - Medical Insurance Premium Prediction/41 - Coding Task #7 - Train a Linear Learner Model in AWS SageMaker.mp4 361.2 MB
4 - Project #2 - Medical Insurance Premium Prediction/49 - Coding Task #9 - Train Artificial Neural Networks for Regression Tasks.mp4 262.4 MB
6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/81 - Coding Task #6 - Train & Test XGboost and Perform Grid Search (Local Mode).mp4 240.1 MB
5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/61 - Coding Task #1 #2 #3 - Load Dataset_Libraries and Perform Data Exploration.mp4 236.3 MB
6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/75 - Precision, Recall, and F1-Score.mp4 217.4 MB
7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/95 - Coding Task #5 - Build and Train CNNs.mp4 216.1 MB
5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/64 - Coding Task #6 #7 - Visualize Dataset.mp4 215.1 MB
3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/23 - Coding Task #1A - Instantiate AWS SageMaker Notebook Instance (Method #1).mp4 204.9 MB
5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/57 - Gradient Boosted Trees - Deep Dive - Part #1.mp4 188.5 MB
5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/67 - Coding Task #10 - Train XGBoost Using SageMaker.mp4 184.5 MB
3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/22 - AWS SageMaker Linear Learner Overview.mp4 176.4 MB
5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/69 - Coding Task #12 - Perform Hyperparameters Tuning.mp4 174.5 MB
4 - Project #2 - Medical Insurance Premium Prediction/37 - Coding Task #3 - Perform Exploratory Data Analysis.mp4 165.9 MB
7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/93 - Coding Part #1 #2 - Import Images and Visualize Them.mp4 165.5 MB
1 - Introduction, Success Tips & Best Practices and Key Learning Outcomes/04 - Course Outline and Key Learning Outcomes.mp4 163.7 MB
6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/82 - Coding Task #7 - Train a PCA Model in AWS SageMaker.mp4 163.2 MB
SageMaker+Practical+Course+Package.zip 152.2 MB
3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/26 - Coding Task #3 - Perform Exploratory Data Analysis.mp4 151.0 MB
4 - Project #2 - Medical Insurance Premium Prediction/36 - Coding Task #1 & #2 - Import Dataset and Key Libraries.mp4 142.7 MB
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- 【影视】 AWS SageMaker Practical for Beginners. Build 6 Projects
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[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/30 - Coding Task #7 - Train a Linear Learner Model in AWS SageMaker.mp4 507.2 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/41 - Coding Task #7 - Train a Linear Learner Model in AWS SageMaker.mp4 361.2 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/49 - Coding Task #9 - Train Artificial Neural Networks for Regression Tasks.mp4 262.4 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/81 - Coding Task #6 - Train & Test XGboost and Perform Grid Search (Local Mode).mp4 240.1 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/61 - Coding Task #1 #2 #3 - Load Dataset_Libraries and Perform Data Exploration.mp4 236.3 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/75 - Precision, Recall, and F1-Score.mp4 217.4 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/95 - Coding Task #5 - Build and Train CNNs.mp4 216.1 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/64 - Coding Task #6 #7 - Visualize Dataset.mp4 215.1 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/23 - Coding Task #1A - Instantiate AWS SageMaker Notebook Instance (Method #1).mp4 204.9 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/57 - Gradient Boosted Trees - Deep Dive - Part #1.mp4 188.5 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/67 - Coding Task #10 - Train XGBoost Using SageMaker.mp4 184.5 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/22 - AWS SageMaker Linear Learner Overview.mp4 176.4 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/5 - Project #3 - Retail Sales Prediction Using AWS SageMaker XGBoost (Regression)/69 - Coding Task #12 - Perform Hyperparameters Tuning.mp4 174.5 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/37 - Coding Task #3 - Perform Exploratory Data Analysis.mp4 165.9 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/7 - Project #5 - Deep Learning for Traffic Sign Classification Using AWS SageMaker/93 - Coding Part #1 #2 - Import Images and Visualize Them.mp4 165.5 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/1 - Introduction, Success Tips & Best Practices and Key Learning Outcomes/04 - Course Outline and Key Learning Outcomes.mp4 163.7 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/6 - Project #4 - Predict Cardiovascular Disease Using PCA & XGBoost (Classification)/82 - Coding Task #7 - Train a PCA Model in AWS SageMaker.mp4 163.2 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/SageMaker+Practical+Course+Package.zip 152.2 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/3 - Project #1 - Employee Salary Predictions Using AWS SageMaker Linear Learner/26 - Coding Task #3 - Perform Exploratory Data Analysis.mp4 151.0 MB
[TutsNode.com] - AWS SageMaker Practical for Beginners/4 - Project #2 - Medical Insurance Premium Prediction/36 - Coding Task #1 & #2 - Import Dataset and Key Libraries.mp4 142.7 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - 2019 AWS SageMaker and Machine Learning - With Python
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10. 2019 SageMaker HyperParameter Tuning/3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 161.5 MB
5. XGBoost - Gradient Boosted Trees/10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4 133.4 MB
8. SageMaker - DeepAR Time Series Forecasting/5. Demo - Bike Rental as Time Series Forecasting Problem.mp4 110.1 MB
3. 2019 Machine Learning Concepts/2. 2019 Data Types - How to handle mixed data types.mp4 107.2 MB
5. XGBoost - Gradient Boosted Trees/4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4 104.5 MB
5. XGBoost - Gradient Boosted Trees/6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4 101.8 MB
5. XGBoost - Gradient Boosted Trees/7. Demo - Kaggle Bike Rental Model Version 1.mp4 100.8 MB
7. SageMaker - Factorization Machines/4. Demo - Movie Recommender Data Preparation.mp4 95.1 MB
8. SageMaker - DeepAR Time Series Forecasting/3. DeepAR Training and Inference Formats.mp4 93.8 MB
3. 2019 Machine Learning Concepts/3. 2019 Introduction to Python Notebook Environment.mp4 89.7 MB
9. 2019 Integration Options - Model Endpoint/9. Microservice - API Gateway, Lambda to Endpoint.mp4 88.2 MB
5. XGBoost - Gradient Boosted Trees/16. Demo - XGBoost Multi-Class Classification Iris Data.mp4 85.8 MB
3. 2019 Machine Learning Concepts/4. 2019 Introduction to working with Missing Data.mp4 85.7 MB
8. SageMaker - DeepAR Time Series Forecasting/6. Demo - Bike Rental Model Training.mp4 81.0 MB
9. 2019 Integration Options - Model Endpoint/5. Client to Endpoint using SageMaker SDK.mp4 80.7 MB
8. SageMaker - DeepAR Time Series Forecasting/2. Introduction to DeepAR Time Series Forecasting.mp4 79.5 MB
9. 2019 Integration Options - Model Endpoint/8. Microservice - Lambda to Endpoint.mp4 77.8 MB
5. XGBoost - Gradient Boosted Trees/1. Introduction to XGBoost.mp4 76.1 MB
3. 2019 Machine Learning Concepts/1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4 73.6 MB
7. SageMaker - Factorization Machines/6. Demo - Movie Predictions By User.mp4 72.3 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Amazon Sagemaker.zip
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[ FreeCourseWeb.com ] Udemy - Amazon Sagemaker.zip 522.1 MB
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- 【影视】 Build, Train, and Deploy Machine Learning Models with Amazon SageMaker
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03. Building Machine Learning Models Using AWS SageMaker/12. Configuring a MXNet Estimator Using the High-level SageMaker Python Library.mp4 31.4 MB
03. Building Machine Learning Models Using AWS SageMaker/10. Configuring a Tensorflow Estimator Using the High-level SageMaker Python Library.mp4 30.1 MB
03. Building Machine Learning Models Using AWS SageMaker/05. Obtaining, Exploring, and Preprocessing Histopathology Images.mp4 29.8 MB
04. Training Machine Learning Models Using AWS SageMaker/08. Creating and Monitoring a Tuning Job for the Built-in Image Classification Algorithm Using the Low-level AWS SDK for Python.mp4 23.9 MB
06. Managing Security and Scalability in AWS SageMaker/03. Configuring Access Control to Notebook Instances.mp4 23.5 MB
05. Deploying Machine Learning Models Using AWS SageMaker/03. Deploying and Testing the Trained Model Based on the Built-in Image Classification Algorithm Using the Low-level AWS SDK for Python.mp4 23.2 MB
04. Training Machine Learning Models Using AWS SageMaker/03. Creating and Monitoring a Training Job for the Built-in Image Classification Algorithm Using the Low-level AWS SDK for Python.mp4 21.1 MB
03. Building Machine Learning Models Using AWS SageMaker/06. Configuring the Image Classification Algorithm Using the Low-level AWS SDK for Python.mp4 19.2 MB
05. Deploying Machine Learning Models Using AWS SageMaker/08. Integrating an AWS SageMaker Endpoint with AWS API Gateway and AWS Lambda.mp4 16.5 MB
05. Deploying Machine Learning Models Using AWS SageMaker/04. Deploying and Testing the Trained Model Based on the Built-in Image Classification Algorithm Using the High-level SageMaker Python Library.mp4 15.8 MB
05. Deploying Machine Learning Models Using AWS SageMaker/06. Deploying and Testing the Trained Model Based on a Custom Mxnet Algorithm Using the High-level SageMaker Python Library.mp4 15.1 MB
04. Training Machine Learning Models Using AWS SageMaker/11. Creating and Monitoring a Tuning Job for the Custom MXnet Algorithm Using the High-level SageMaker Python Library.mp4 15.0 MB
05. Deploying Machine Learning Models Using AWS SageMaker/05. Deploying and Testing the Trained Model Based on a Custom Tensorflow Algorithm Using the High-level SageMaker Python Library.mp4 14.4 MB
04. Training Machine Learning Models Using AWS SageMaker/10. Creating and Monitoring a Tuning Job for the Custom Tensorflow Algorithm Using the High-level SageMaker Python Library.mp4 12.4 MB
04. Training Machine Learning Models Using AWS SageMaker/09. Creating and Monitoring a Tuning Job for the Built-in Image Classification Algorithm Using the High-level SageMaker Python Library.mp4 12.3 MB
04. Training Machine Learning Models Using AWS SageMaker/06. Creating and Monitoring a Training Job for the Custom MXnet Algorithm Using the High-level SageMaker Python Library.mp4 12.2 MB
04. Training Machine Learning Models Using AWS SageMaker/05. Creating and Monitoring a Training Job for the Custom Tensorflow Algorithm Using the High-level SageMaker Python Library.mp4 12.1 MB
04. Training Machine Learning Models Using AWS SageMaker/04. Creating and Monitoring a Training Job for the Built-in Image Classification Algorithm Using the High-level SageMaker Python Library.mp4 11.9 MB
03. Building Machine Learning Models Using AWS SageMaker/09. Converting Images to the TFRecord Format.mp4 10.8 MB
02. Getting Started with AWS SageMaker/05. Setting up AWS SageMaker.mp4 9.8 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] PluralSight - Build, Train, and Deploy Machine Learning Models with AWS SageMaker.zip
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[ FreeCourseWeb.com ] PluralSight - Build, Train, and Deploy Machine Learning Models with AWS SageMaker.zip 298.8 MB
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- 【压缩文件】 [ DevCourseWeb.com ] Introduction to SageMaker.zip
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收录时间:2022-01-09
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[ DevCourseWeb.com ] Introduction to SageMaker.zip 392.2 MB
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- 【影视】 [ TutPig.com ] Udemy - Amazon Sagemaker - Create and Deploy Machine Learning Today
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收录时间:2022-01-24
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~Get Your Files Here !/1. Introduction/10. Automatic Model Tuning and Defining Metrics.mp4 92.5 MB
~Get Your Files Here !/3. Deploying a Model, Creating Labeling Jobs, and more!/6. Data Wrangler Demo.mp4 89.7 MB
~Get Your Files Here !/2. Hyperparameter Tuning/5. Warm Start Hyperparameter Tuning Jobs.mp4 87.5 MB
~Get Your Files Here !/3. Deploying a Model, Creating Labeling Jobs, and more!/7. Amazon Augmented Al.mp4 82.8 MB
~Get Your Files Here !/2. Hyperparameter Tuning/1. Creating a Hyperparameter Tuning Job; Bank Scenario.mp4 74.7 MB
~Get Your Files Here !/3. Deploying a Model, Creating Labeling Jobs, and more!/5. Introduction to Data Wrangler.mp4 63.2 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 53.5 MB
~Get Your Files Here !/1. Introduction/14. Creating an S3 bucket(2 Ways!).mp4 46.7 MB
~Get Your Files Here !/2. Hyperparameter Tuning/4. Best Secrets for Hyperparameter Tuning.mp4 45.6 MB
~Get Your Files Here !/1. Introduction/12. Defining Hyperparameter Ranges and Scaling Types.mp4 41.9 MB
~Get Your Files Here !/1. Introduction/2. Getting started on Sagemaker's Studio.mp4 41.7 MB
~Get Your Files Here !/1. Introduction/17. Amazon's Behind the Scenes Code; Dedicated to all you coders out there!.mp4 41.3 MB
~Get Your Files Here !/2. Hyperparameter Tuning/2. Stopping Training Jobs Early.mp4 36.6 MB
~Get Your Files Here !/1. Introduction/5. Picking an algorithm on Sagemaker.mp4 36.5 MB
~Get Your Files Here !/1. Introduction/4. Jupiter Notebooks on Sagemaker.mp4 34.7 MB
~Get Your Files Here !/1. Introduction/9. 3 Types of testing on the model you can do!.mp4 30.8 MB
~Get Your Files Here !/1. Introduction/7. Teaching the computer with Training Data and Bias.mp4 30.8 MB
~Get Your Files Here !/3. Deploying a Model, Creating Labeling Jobs, and more!/1. Deploying a Model.mp4 30.5 MB
~Get Your Files Here !/2. Hyperparameter Tuning/8. Creating a WarmStart Tuning Job using Amazon Sagemaker Python SDK.mp4 28.6 MB
~Get Your Files Here !/1. Introduction/15. What is Sagemaker's Jumpstart.mp4 25.1 MB
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30-lab_018a_univariate_and_multivariate_analysis.mkv 88.1 MB
10-009___supervised_learning.mkv 70.4 MB
38-lab_25___accessing_pca_model_attributes.mkv 66.1 MB
29-lab_017___exploratory_data_analysis.mkv 65.1 MB
35-lab_22___problem_statement_and_data_import.mkv 65.1 MB
04-003_cloud_computing_services.mkv 57.9 MB
31-lab_018b_univariate_and_multivariate_analysis.mkv 55.3 MB
28-lab__016___problem_statement_and_data_import.mkv 54.9 MB
23-lab_11b___data_cleaning___part___ii.mkv 50.6 MB
36-lab_23___exploratory_data_analysis.mkv 49.5 MB
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15-lab_003___create_a_notebook_instance.mkv 43.3 MB
22-lab_11a___data_cleaning_part___i.mkv 41.5 MB
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25-lab_13___training_model_in_sagemaker.mkv 38.7 MB
21-lab_10___exploratory_data_analysis.mkv 37.3 MB
39-lab_26___model_deployment_and_conclusion_analysis.mkv 36.6 MB
01-introduction_to_course.mkv 34.2 MB
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~Get Your Files Here !/30-lab_018a_univariate_and_multivariate_analysis.mkv 88.1 MB
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~Get Your Files Here !/38-lab_25___accessing_pca_model_attributes.mkv 66.1 MB
~Get Your Files Here !/29-lab_017___exploratory_data_analysis.mkv 65.1 MB
~Get Your Files Here !/35-lab_22___problem_statement_and_data_import.mkv 65.1 MB
~Get Your Files Here !/04-003_cloud_computing_services.mkv 57.9 MB
~Get Your Files Here !/31-lab_018b_univariate_and_multivariate_analysis.mkv 55.3 MB
~Get Your Files Here !/28-lab__016___problem_statement_and_data_import.mkv 54.9 MB
~Get Your Files Here !/23-lab_11b___data_cleaning___part___ii.mkv 50.6 MB
~Get Your Files Here !/36-lab_23___exploratory_data_analysis.mkv 49.5 MB
~Get Your Files Here !/41-lab_28__accessing_k_means_model_attributes.mkv 48.8 MB
~Get Your Files Here !/15-lab_003___create_a_notebook_instance.mkv 43.3 MB
~Get Your Files Here !/22-lab_11a___data_cleaning_part___i.mkv 41.5 MB
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~Get Your Files Here !/25-lab_13___training_model_in_sagemaker.mkv 38.7 MB
~Get Your Files Here !/21-lab_10___exploratory_data_analysis.mkv 37.3 MB
~Get Your Files Here !/39-lab_26___model_deployment_and_conclusion_analysis.mkv 36.6 MB
~Get Your Files Here !/01-introduction_to_course.mkv 34.2 MB
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~Get Your Files Here !/6. Project 1 Banknote Authentication/2. Building and Using Model for Prediction.mp4 44.4 MB
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21 - Day 16 XG-Boost Regression in Scikit-Learn/017 Final Capstone Project Solution.mp4 191.6 MB
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