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2020 AWS SageMaker, AI and Machine Learning - With Python
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2020 AWS SageMaker, AI and Machine Learning - With Python (Size: 5.65 GB) (Files: 318)
2020 AWS SageMaker, AI and Machine Learning - With Python
11 E9 SageMaker HyperParameter Tuning
104 Lab Tuning Movie Rating Factorization Machine Recommender System.mp4
102 AWS-SageMaker-Hyperparameter-Tuning.pdf
102 Downloadable Resources.html
102 FM-Autotuning-Lab-Configuration.xlsx
103 Introduction to Hyperparameter Tuning.en.srt
103 Introduction to Hyperparameter Tuning.mp4
104 Lab Tuning Movie Rating Factorization Machine Recommender System.en.srt
105 Lab Step 2 Tuning Movie Rating Recommender System.en.srt
105 Lab Step 2 Tuning Movie Rating Recommender System.mp4
ReadMe.txt
Visit Coursedrive.org.url
01 Introduction and Housekeeping
001 AWS-Certified-Machine-Learning-Specialty-Preparation.pdf
001 AWS-Housekeeping.pdf
001 AWS-SageMaker-Course-Introduction.pdf
001 Downloadable Resources.html
001 Gap-Analysis.xlsx
002 Introduction.en.srt
002 Introduction.mp4
003 2020 - Overview - AWS Machine Learning Specialty Exam.en.srt
003 2020 - Overview - AWS Machine Learning Specialty Exam.mp4
004 2020 Exam - Gap Analysis.html
005 2020 Preparation - AWS Machine Learning Specialty Exam.en.srt
005 2020 Preparation - AWS Machine Learning Specialty Exam.mp4
006 2020 AWS Account Setup Free Tier Offers Billing Support.en.srt
006 2020 AWS Account Setup Free Tier Offers Billing Support.mp4
007 2020 Billing Alerts Delegate Access.en.srt
007 2020 Billing Alerts Delegate Access.mp4
008 2020 Configure IAM Users Setup Command Line Interface (CLI).en.srt
008 2020 Configure IAM Users Setup Command Line Interface (CLI).mp4
009 E8-AWSTop6ReasonsCloudComputing.pdf
009 Six Advantages of Cloud Computing.en.srt
009 Six Advantages of Cloud Computing.mp4
010 AWS Global Infrastructure Overview.en.srt
010 AWS Global Infrastructure Overview.mp4
011 Security is Job Zero AWS Public Sector Summit E6 by Steve Schmidt.html
02 SageMaker Housekeeping
012 AWS-Introduction-ML-Concepts.pdf
012 Downloadable Resources.html
012 SourceCode-and-Data-Setup.pdf
012 usa-airpassengers-numeric.xlsx
013 Demo - S3 Bucket Setup.en.srt
013 Demo - S3 Bucket Setup.mp4
014 Demo - Setup SageMaker Notebook Instance.en.srt
014 Demo - Setup SageMaker Notebook Instance.mp4
015 E9 Demo - Source Code and Data Setup.en.srt
015 E9 Demo - Source Code and Data Setup.mp4
016 2020 SageMaker Console looks different from the course videos - Why.html
017 2020 How to download Kaggle data with code.html
03 E9 Machine Learning Concepts
018 E9 Introduction to Machine Learning Concepts Terminologies.en.srt
018 E9 Introduction to Machine Learning Concepts Terminologies.mp4
019 E9 Data Types - How to handle mixed data types.en.srt
019 E9 Data Types - How to handle mixed data types.mp4
020 E9 Introduction to Python Notebook Environment.en.srt
020 E9 Introduction to Python Notebook Environment.mp4
021 E9 Introduction to working with Missing Data.en.srt
021 E9 Introduction to working with Missing Data.mp4
022 E9 Data Visualization - Linear Log Quadratic and More.en.srt
022 E9 Data Visualization - Linear Log Quadratic and More.mp4
04 E9.7 Model Performance Evaluation
023 Downloadable Resources.html
023 Model-Performance-Evaluation.pdf
024 Introduction.en.srt
024 Introduction.mp4
025 Regression Model Performance.en.srt
025 Regression Model Performance.mp4
026 Binary Classifier Performance.en.srt
026 Binary Classifier Performance.mp4
027 Binary Classifier - Confusion Matrix.en.srt
027 Binary Classifier - Confusion Matrix.mp4
028 Binary Classifier - SKLearn Confusion Matrix.en.srt
028 Binary Classifier - SKLearn Confusion Matrix.mp4
029 Binary Classifier - Metrics Definition.en.srt
029 Binary Classifier - Metrics Definition.mp4
030 Binary Classifier - Metrics Calculation.en.srt
030 Binary Classifier - Metrics Calculation.mp4
031 Question - Why not Model 1.html
032 Binary Classifier - Area Under Curve Metrics.en.srt
032 Binary Classifier - Area Under Curve Metrics.mp4
033 Multiclass Classifier.en.srt
033 Multiclass Classifier.mp4
05 2020 SageMaker Service Overview
034 2020 Downloadable Resources.html
034 2020.01-AWS-SageMaker-WM.pdf
034 AWS-SageMaker-Algorithms-and-Frameworks.pdf
035 Introduction to SageMaker.en.srt
035 Introduction to SageMaker.mp4
036 Instance Type and Pricing.en.srt
036 Instance Type and Pricing.mp4
037 DataFormat.en.srt
037 DataFormat.mp4
038 2020 SageMaker Built-in Algorithms.en.srt
038 2020 SageMaker Built-in Algorithms.mp4
039 2020 Popular Frameworks and Bring Your Own Algorithm.en.srt
039 2020 Popular Frameworks and Bring Your Own Algorithm.mp4
06 E9 XGBoost - Gradient Boosted Trees
040 E9 Downloadable Resources.html
040 XGBoost-WM.pdf
041 E9 Introduction to XGBoost.en.srt
041 E9 Introduction to XGBoost.mp4
042 E9 Lab - Data Preparation Simple Regression.en.srt
042 E9 Lab - Data Preparation Simple Regression.mp4
043 QA - XGBoost Install Taking Too Long - How to Fix.html
044 E9 Lab - Training Simple Regression.en.srt
044 E9 Lab - Training Simple Regression.mp4
045 E9 Lab - Data Preparation Non-linear Data set.en.srt
045 E9 Lab - Data Preparation Non-linear Data set.mp4
046 E9 Lab - Training Non-linear Data set.en.srt
046 E9 Lab - Training Non-linear Data set.mp4
047 Exercise - Improving quality of predictions.html
048 E9 Lab - Data Preparation Bike Rental Regression.en.srt
048 E9 Lab - Data Preparation Bike Rental Regression.mp4
049 E9 Lab - Train Bike Rental Regression Model.en.srt
049 E9 Lab - Train Bike Rental Regression Model.mp4
050 E9 Lab - Train using Log of Count.en.srt
050 E9 Lab - Train using Log of Count.mp4
051 ResourceLimitExceeded Error - How to Increase Resource Limit.html
052 E9 Lab - How to train using SageMakers built-in XGBoost Algorithm.en.srt
052 E9 Lab - How to train using SageMakers built-in XGBoost Algorithm.mp4
053 E9 Lab - How to run predictions against an existing SageMaker Endpoint.en.srt
053 E9 Lab - How to run predictions against an existing SageMaker Endpoint.mp4
054 Additional Integration Scenarios and Examples.html
055 E9 SageMaker Endpoint Features.en.srt
055 E9 SageMaker Endpoint Features.mp4
056 E9 Lab - Multi-class Classification.en.srt
056 E9 Lab - Multi-class Classification.mp4
057 E9 Lab - Binary Classification.en.srt
057 E9 Lab - Binary Classification.mp4
058 E9 Exercise - Improve Data Quality in Diabetes dataset.html
059 2020 - Question on Diabetes Data Quality Improvement.html
060 E9 XGBoost HyperParameters and Tuning.en.srt
060 E9 XGBoost HyperParameters and Tuning.mp4
061 E9 Exercise - Mushroom Classification.html
07 SageMaker - Principal Component Analysis (PCA)
062 Normalization and Standardization.html
063 AWS-SageMakerPCA-WM.pdf
063 Downloadable Resources.html
064 Introduction to Principal Component Analysis (PCA).en.srt
064 Introduction to Principal Component Analysis (PCA).mp4
065 PCA Demo Overview.en.srt
065 PCA Demo Overview.mp4
066 Demo - PCA with Random Dataset.en.srt
066 Demo - PCA with Random Dataset.mp4
067 Demo - PCA with Correlated Dataset.en.srt
067 Demo - PCA with Correlated Dataset.mp4
068 Cleanup Resources on SageMaker.html
069 Demo - PCA with Kaggle Bike Sharing - Overview and Normalization.en.srt
069 Demo - PCA with Kaggle Bike Sharing - Overview and Normalization.mp4
070 Demo - PCA Local Mode with Kaggle Bike Train.en.srt
070 Demo - PCA Local Mode with Kaggle Bike Train.mp4
071 Demo - PCA training with SageMaker.en.srt
071 Demo - PCA training with SageMaker.mp4
072 Demo - PCA Projection with SageMaker.en.srt
072 Demo - PCA Projection with SageMaker.mp4
073 Exercise Kaggle Bike Train and PCA.html
074 Summary.en.srt
074 Summary.mp4
08 SageMaker - Factorization Machines
075 2.AWS-SageMakerFactorizationMachine-WM.pdf
075 Downloadable Resources.html
076 Introduction to Factorization Machines.en.srt
076 Introduction to Factorization Machines.mp4
077 MovieLens Dataset.html
078 Demo - Movie Recommender Data Preparation.en.srt
078 Demo - Movie Recommender Data Preparation.mp4
079 Demo - Movie Recommender Model Training.en.srt
079 Demo - Movie Recommender Model Training.mp4
080 Demo - Movie Predictions By User.en.srt
080 Demo - Movie Predictions By User.mp4
09 SageMaker - DeepAR Time Series Forecasting
081 AWS-SageMakerDeepAR-WM.pdf
081 Downloadable Resources.html
082 Introduction to DeepAR Time Series Forecasting.en.srt
082 Introduction to DeepAR Time Series Forecasting.mp4
083 DeepAR Training and Inference Formats.en.srt
083 DeepAR Training and Inference Formats.mp4
084 Working with Time Series Data Handling Missing Values.en.srt
084 Working with Time Series Data Handling Missing Values.mp4
085 Demo - Bike Rental as Time Series Forecasting Problem.en.srt
085 Demo - Bike Rental as Time Series Forecasting Problem.mp4
086 Demo - Bike Rental Model Training.en.srt
086 Demo - Bike Rental Model Training.mp4
087 Demo - Bike Rental Prediction.en.srt
087 Demo - Bike Rental Prediction.mp4
088 Demo - DeepAR Categories.en.srt
088 Demo - DeepAR Categories.mp4
089 Demo - DeepAR Dynamic Features Data Preparation.en.srt
089 Demo - DeepAR Dynamic Features Data Preparation.mp4
090 Demo - DeepAR Dynamic Features Training and Prediction.en.srt
090 Demo - DeepAR Dynamic Features Training and Prediction.mp4
091 Summary.en.srt
091 Summary.mp4
092 Question How to train a model for different products using DeepAR.html
10 E9 Integration Options for Model Endpoint
093 AWS-SageMaker-Integration.pdf
093 Downloadable Resources.html
093 Local-Machine-Housekeeping.pdf
094 Integration Overview.en.srt
094 Integration Overview.mp4
095 Install Python and Boto3 - Local Machine.en.srt
095 Install Python and Boto3 - Local Machine.mp4
096 Install SageMaker SDK GIT Client Source Code Security Permissions.html
096 Local-Machine-Housekeeping.pdf
097 Client to Endpoint using SageMaker SDK.en.srt
097 Client to Endpoint using SageMaker SDK.mp4
098 Client to Endpoint using Boto3 SDK.en.srt
098 Client to Endpoint using Boto3 SDK.mp4
099 Microservice - Lambda to Endpoint - Payload.en.srt
099 Microservice - Lambda to Endpoint - Payload.mp4
100 Microservice - Lambda to Endpoint.en.srt
100 Microservice - Lambda to Endpoint.mp4
101 Microservice - API Gateway Lambda to Endpoint.en.srt
101 Microservice - API Gateway Lambda to Endpoint.mp4
12 2020 Artificial Intelligence (AI) Services
106 AWS-AI-Services.pdf
106 Downloadable Resources.html
107 Lab Instructions.html
108 1. Introduction.en.srt
108 1. Introduction.mp4
109 2.1 Amazon Transcribe and Lab.en.srt
109 2.1 Amazon Transcribe and Lab.mp4
110 2.2 Amazon Transcribe and Lab.en.srt
110 2.2 Amazon Transcribe and Lab.mp4
111 3. Amazon Translate.en.srt
111 3. Amazon Translate.mp4
112 Translate - Practical Scenario.html
113 4.1 Amazon Comprehend.en.srt
113 4.1 Amazon Comprehend.mp4
114 4.2 Amazon Comprehend.en.srt
114 4.2 Amazon Comprehend.mp4
115 4.3 Amazon Comprehend training.en.srt
115 4.3 Amazon Comprehend training.mp4
116 5. Amazon Polly.en.srt
116 5. Amazon Polly.mp4
117 6. Amazon Lex.en.srt
117 6. Amazon Lex.mp4
118 7. Amazon Rekognition.en.srt
118 7. Amazon Rekognition.mp4
119 8. Amazon Textract Summary.en.srt
119 8. Amazon Textract Summary.mp4
13 2020 AWS S3 Data Lake Architecture
120 AWS-Data-Lake.pdf
120 Downloadable Resources.html
121 Lab Instructions.html
122 Introduction to Data Lake.en.srt
122 Introduction to Data Lake.mp4
123 Kinesis - Streaming and Batch Processing.en.srt
123 Kinesis - Streaming and Batch Processing.mp4
124 Data Formats and Tools for Data Format Conversion.en.srt
124 Data Formats and Tools for Data Format Conversion.mp4
125 In-Place Analytics and Portfolio of Tools.en.srt
125 In-Place Analytics and Portfolio of Tools.mp4
126 Monitoring and Optimization.en.srt
126 Monitoring and Optimization.mp4
127 Security and Protection.en.srt
127 Security and Protection.mp4
128 Lab Glue Data Catalog.en.srt
128 Lab Glue Data Catalog.mp4
129 Lab - Query with Athena.en.srt
129 Lab - Query with Athena.mp4
130 Lab - Glue ETL - Convert format to Parquet.en.srt
130 Lab - Glue ETL - Convert format to Parquet.mp4
131 Lab - Query Amazon Customer Reviews with Athena.en.srt
131 Lab - Query Amazon Customer Reviews with Athena.mp4
132 Lab Sentiment of the Customer Review.en.srt
132 Lab Sentiment of the Customer Review.mp4
133 Lab - Query Sentiment of Customer Reviews using Athena.en.srt
133 Lab - Query Sentiment of Customer Reviews using Athena.mp4
134 Lab Serverless Customer Review Solution Part 1.en.srt
134 Lab Serverless Customer Review Solution Part 1.mp4
135 Lab Serverless Customer Review Solution Part 2.en.srt
135 Lab Serverless Customer Review Solution Part 2.mp4
14 2020 Deep Learning and Neural Networks
136 AWS-Deep-Learning-01.pdf
136 ReadMe and Downloadable Resources.html
137 Lab Instructions.html
138 Concepts - Gradient Descent Loss Function for Regression.en.srt
138 Concepts - Gradient Descent Loss Function for Regression.mp4
139 Concepts - Gradient Descent Loss Function for Classification.en.srt
139 Concepts - Gradient Descent Loss Function for Classification.mp4
140 Neural Networks and Deep Learning.en.srt
140 Neural Networks and Deep Learning.mp4
141 MIT 6.S Introduction to Deep Learning.html
142 MIT 6.S Convolutional Neural Networks.html
143 MIT 6.S Recurrent Neural Networks.html
144 NIPS E6 tutorial Nuts and bolts of building AI applications.html
145 Lab - Regression with SKLearn Neural Network.en.srt
145 Lab - Regression with SKLearn Neural Network.mp4
146 Lab - Regression with Keras and TensorFlow.en.srt
146 Lab - Regression with Keras and TensorFlow.mp4
147 Lab - Binary Classification - Part 1- Customer Churn Prediction.en.srt
147 Lab - Binary Classification - Part 1- Customer Churn Prediction.mp4
148 Lab - Binary Classification - Part 2 - Customer Churn Prediction.en.srt
148 Lab - Binary Classification - Part 2 - Customer Churn Prediction.mp4
149 Lab - Multiclass Classification - Iris.en.srt
149 Lab - Multiclass Classification - Iris.mp4
150 Transfer Learning.html
151 Optimizing for GPUs.html
152 Multi-Class Multi-Label Classification.html
153 SageMaker local mode for popular Frameworks.html
15 2020 Storage for Servers
154 AWS-Storage.pdf
154 Downloadable Resources.html
155 2020 Introduction to Storage.en.srt
155 2020 Introduction to Storage.mp4
156 2020 Elastic Block Store (EBS).en.srt
156 2020 Elastic Block Store (EBS).mp4
157 2020 Elastic File System FSx for Windows FSx for Lustre.en.srt
157 2020 Elastic File System FSx for Windows FSx for Lustre.mp4
158 2020 Elastic Block Store (EBS) Encryption.html
16 2020 AWS - Support Plans and Feedback
159 AWS Product Improvement Feedback.html
160 How to contact AWS for Production Support.en.srt
160 How to contact AWS for Production Support.mp4
17 2020 Databases on AWS
161 AWS-Database-Distribution-ML.pdf
161 Downloadable Resources.html
162 2020 AWS Databases - Introduction Benefits and Types.en.srt
162 2020 AWS Databases - Introduction Benefits and Types.mp4
163 2020 Relational Database Service (RDS) - Features and Benefits.en.srt
163 2020 Relational Database Service (RDS) - Features and Benefits.mp4
164 2020 Aurora and Aurora Serverless Relational Database.en.srt
164 2020 Aurora and Aurora Serverless Relational Database.mp4
165 2020 DynamoDB - Primary Key Partitions and Features.en.srt
165 2020 DynamoDB - Primary Key Partitions and Features.mp4
166 2020 Cassandra and DocumentDB.en.srt
166 2020 Cassandra and DocumentDB.mp4
167 2020 Amazon ElastiCache - Usage Example Features.en.srt
167 2020 Amazon ElastiCache - Usage Example Features.mp4
168 2020 Amazon Redshift.en.srt
168 2020 Amazon Redshift.mp4
Visit Coursedrive.org.url
ReadMe.txt
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