[CourseClub.ME] A Cloud Guru - AWS Certified Machine Learning - Specialty 2020

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[CourseClub.ME] A Cloud Guru - AWS Certified Machine Learning - Specialty 2020

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收录时间：2021-03-14
最近下载：2024-10-05

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文件列表

  • 07 Algorithms/014 Algorithms Lab.mp4 205.5 MB
  • 08 Evaluation and Optimization/007 Evaluation and Optimization Lab.mp4 172.3 MB
  • 09 Implementation and Operations/009 Implementation and Operations Lab.mp4 172.1 MB
  • 05 Data Analysis and Visualization/009 Data Analysis and Visualization Lab.mp4 157.2 MB
  • 06 Modeling/007 Modeling Lab.mp4 151.0 MB
  • 03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4 131.6 MB
  • 04 Data Preparation/011 Data Preparation Lab.mp4 109.0 MB
  • 04 Data Preparation/004 Text Feature Engineering.mp4 61.4 MB
  • 02 Data Collection/004 Machine Learning Data Terminology.mp4 60.0 MB
  • 04 Data Preparation/009 Helper Tools.mp4 56.0 MB
  • 08 Evaluation and Optimization/004 Evaluating Model Accuracy.mp4 53.4 MB
  • 07 Algorithms/002 OPTIONAL - Why do we call them Algorithms.mp4 52.1 MB
  • 06 Modeling/004 SageMaker Modeling.mp4 51.2 MB
  • 07 Algorithms/003 Concepts.mp4 49.6 MB
  • 07 Algorithms/004 Regression.mp4 48.8 MB
  • 03 Streaming Data Collection/003 Kinesis Data Streams.mp4 47.8 MB
  • 09 Implementation and Operations/002 Concepts.mp4 45.2 MB
  • 09 Implementation and Operations/006 Security.mp4 45.0 MB
  • 06 Modeling/005 SageMaker Training.mp4 40.9 MB
  • 02 Data Collection/002 Concepts.mp4 38.9 MB
  • 06 Modeling/002 Concepts.mp4 38.9 MB
  • 09 Implementation and Operations/004 Amazon SageMaker Deployments.mp4 38.0 MB
  • 09 Implementation and Operations/007 Monitor and Evaluate.mp4 35.9 MB
  • 03 Streaming Data Collection/002 Concepts.mp4 35.1 MB
  • 07 Algorithms/009 Text Analytics.mp4 34.4 MB
  • 04 Data Preparation/003 Categorical Encoding.mp4 34.4 MB
  • 01 Introduction/003 About This Course.mp4 31.9 MB
  • 02 Data Collection/003 General Data Terminology.mp4 31.7 MB
  • 07 Algorithms/010 Reinforcement Learning.mp4 30.9 MB
  • 02 Data Collection/006 AWS Migration Tools.mp4 29.1 MB
  • 07 Algorithms/007 Image Analysis.mp4 28.9 MB
  • 06 Modeling/003 Data Preparation.mp4 28.4 MB
  • 04 Data Preparation/006 Other Feature Engineering.mp4 28.3 MB
  • 04 Data Preparation/010 Exam Tips.mp4 28.0 MB
  • 07 Algorithms/005 Clustering.mp4 26.1 MB
  • 01 Introduction/001 Course Introduction.mp4 26.0 MB
  • 08 Evaluation and Optimization/005 Model Tuning.mp4 25.8 MB
  • 07 Algorithms/012 Ensemble Learning.mp4 25.3 MB
  • 04 Data Preparation/005 Numeric Feature Engineering.mp4 24.9 MB
  • 07 Algorithms/006 Classification.mp4 24.7 MB
  • 02 Data Collection/005 AWS Data Stores.mp4 24.7 MB
  • 01 Introduction/002 About The Exam.mp4 24.3 MB
  • 04 Data Preparation/002 Concepts.mp4 22.7 MB
  • 07 Algorithms/013 Exam Tips.mp4 22.6 MB
  • 03 Streaming Data Collection/006 Kinesis Data Analytics.mp4 22.6 MB
  • 05 Data Analysis and Visualization/007 Choosing A Visualization.mp4 22.0 MB
  • 07 Algorithms/008 Anomaly Detection.mp4 21.3 MB
  • 05 Data Analysis and Visualization/003 Relationships.mp4 21.1 MB
  • 05 Data Analysis and Visualization/005 Distributions.mp4 20.4 MB
  • 08 Evaluation and Optimization/002 Concepts.mp4 20.1 MB
  • 09 Implementation and Operations/003 AI Developer Services.mp4 18.6 MB
  • 03 Streaming Data Collection/004 Kinesis Firehose.mp4 17.9 MB
  • 07 Algorithms/011 Forecasting.mp4 17.8 MB
  • 09 Implementation and Operations/010 Deconstruction Lab.mp4 17.8 MB
  • 05 Data Analysis and Visualization/002 Concepts.mp4 17.5 MB
  • 04 Data Preparation/007 Handling Missing Values.mp4 16.0 MB
  • 02 Data Collection/008 Exam Tips.mp4 15.7 MB
  • 09 Implementation and Operations/008 Exam Tips.mp4 14.8 MB
  • 05 Data Analysis and Visualization/004 Comparisons.mp4 14.0 MB
  • 02 Data Collection/007 AWS Helper Tools.mp4 12.8 MB
  • 03 Streaming Data Collection/005 Kinesis Video Streams.mp4 12.4 MB
  • 04 Data Preparation/008 Feature Selection.mp4 11.8 MB
  • 08 Evaluation and Optimization/003 Monitoring and Analyzing Training Jobs.mp4 11.6 MB
  • 08 Evaluation and Optimization/006 Exam Tips.mp4 10.9 MB
  • 05 Data Analysis and Visualization/006 Compositions.mp4 10.1 MB
  • 06 Modeling/006 Exam Tips.mp4 9.7 MB
  • 05 Data Analysis and Visualization/008 Exam Tips.mp4 8.0 MB
  • 10 Wrap-Up/001 Good Luck.mp4 8.0 MB
  • 09 Implementation and Operations/005 Other ML Deployment Options.mp4 7.6 MB
  • 03 Streaming Data Collection/007 Exam Tips.mp4 7.2 MB
  • 02 Data Collection/001 Introduction.mp4 5.8 MB
  • 05 Data Analysis and Visualization/001 Introduction.mp4 3.1 MB
  • 09 Implementation and Operations/001 Introduction.mp4 3.0 MB
  • 06 Modeling/001 Introduction.mp4 2.9 MB
  • 07 Algorithms/001 Introduction.mp4 2.6 MB
  • 04 Data Preparation/001 Introduction.mp4 1.7 MB
  • 08 Evaluation and Optimization/001 Introduction.mp4 1.7 MB
  • 03 Streaming Data Collection/001 Introduction.mp4 1.7 MB
  • 03 Streaming Data Collection/007 WHITEPAPER - Streaming Data Solutions on AWS with Amazon Kinesis.pdf 1.2 MB
  • 02 Data Collection/008 Whitepaper - Migrating to Apache HBase on Amazon S3 on Amazon EMR.pdf 828.9 kB
  • 02 Data Collection/008 Whitepaper - Big Data Aanlytics Options on AWS.pdf 775.3 kB
  • 06 Modeling/006 Managing Machine Learning Projects.pdf 765.1 kB
  • 04 Data Preparation/010 Whitepaper - Power Machine Learning at Scale.pdf 670.6 kB
  • 09 Implementation and Operations/008 AWS Whitepaper Power Machine Learning at Scale.pdf 670.6 kB
  • 02 Data Collection/008 Whitepaper - AWS Database Migration Service Best Practices.pdf 597.4 kB
  • 01 Introduction/002 Exam Blueprint.pdf 556.2 kB
  • 02 Data Collection/008 Whitepaper - Sizing Cloud Data Warehouses.pdf 376.8 kB
  • 02 Data Collection/008 Whitepaper - Data Warehousing on AWS.pdf 359.1 kB
  • 08 Evaluation and Optimization/007 Linear Learner Hyperparameters.html 88.5 kB
  • 06 Modeling/007 K-Means SageMaker Documentation.html 70.9 kB
  • 06 Modeling/006 Amazon Machine Learning Key Concepts.html 56.0 kB
  • 04 Data Preparation/004 tf-idf Vectorizer.html 55.1 kB
  • 08 Evaluation and Optimization/006 Incremental Training in Amazon SageMaker.html 51.0 kB
  • 04 Data Preparation/005 scikit-learn StandardScaler (Standardization).html 50.1 kB
  • 02 Data Collection/006 AWS Glue Classifiers.html 44.0 kB
  • 04 Data Preparation/005 scikit-learn MinMaxScaler (Normalization).html 39.1 kB
  • 07 Algorithms/013 Use Amazon SageMaker Built-in Algorithms.html 30.7 kB
  • 04 Data Preparation/006 Common Dataset Formats.html 30.6 kB
  • 06 Modeling/006 Use Your Own Algorithms with Amazon SageMaker.html 30.4 kB
  • 06 Modeling/007 K-Means Hyperparameters Documentation.html 30.1 kB
  • 09 Implementation and Operations/008 AWS Docs Best Practices for Deploying Models.html 29.2 kB
  • 03 Streaming Data Collection/003 Kinesis Data Streams Key Concepts.html 29.1 kB
  • 03 Streaming Data Collection/004 What Is Amazon Kinesis Data Firehose.html 22.4 kB
  • 04 Data Preparation/009 AWS Glue - How it works.html 19.5 kB
  • 02 Data Collection/006 Data Pipeline Activities.html 12.5 kB
  • 08 Evaluation and Optimization/007 Validation Dataset in recordIO Protobuf format (ufo_sightings_validation_recordIO_protobuf.txt 148 Bytes
  • 03 Streaming Data Collection/005 Analyze live video at scale in real time using Amazon Kinesis Video Streams and Amazon SageMaker.txt 144 Bytes
  • 08 Evaluation and Optimization/007 Training Dataset in recordIO Protobuf format (ufo_sightings_train_recordIO_protobuf.txt 142 Bytes
  • 09 Implementation and Operations/009 Jupyter Notebook (ufo-implementation-operations-lab.txt 139 Bytes
  • 03 Streaming Data Collection/008 Create Subset Transformation Query.txt 138 Bytes
  • 08 Evaluation and Optimization/007 Jupyter Notebook (ufo-evaluation-optimization-lab.txt 137 Bytes
  • 03 Streaming Data Collection/008 PutRecord Python program.py 128 Bytes
  • 09 Implementation and Operations/009 Call an Amazon SageMaker model endpoint using Amazon API Gateway and AWS Lambda.txt 127 Bytes
  • 08 Evaluation and Optimization/006 Easily monitor and visualize metrics while training models on Amazon SageMaker.txt 126 Bytes
  • 07 Algorithms/014 Jupyter Notebook (ufo-algorithms-lab.txt 124 Bytes
  • 03 Streaming Data Collection/008 CloudFormation Template (setup data producer).txt 123 Bytes
  • 04 Data Preparation/011 Gender Percentages Query.txt 122 Bytes
  • 05 Data Analysis and Visualization/009 Box Plot Jupyter Notebook (box-plot-example.txt 122 Bytes
  • 06 Modeling/007 Jupyter Notebook (ufo-modeling-lab.txt 122 Bytes
  • [CourseClub.ME].url 122 Bytes
  • 04 Data Preparation/011 Most Common Ages Query.txt 120 Bytes
  • 09 Implementation and Operations/009 Sample Request JSON (sample_request.json 119 Bytes
  • 09 Implementation and Operations/009 Lambda Function (lambda_function.py 118 Bytes
  • 04 Data Preparation/011 Age Groupings Query.txt 117 Bytes
  • 04 Data Preparation/011 Gender mapping pyspark code.py 117 Bytes
  • 05 Data Analysis and Visualization/009 my-manifest.json 116 Bytes
  • 06 Modeling/007 UFO Sightings Dataset (ufo_fullset.txt 115 Bytes
  • 07 Algorithms/014 UFO Sightings Dataset (ufo_fullset.txt 115 Bytes
  • 09 Implementation and Operations/009 UFO Full Dataset (ufo_fullset.txt 115 Bytes
  • 05 Data Analysis and Visualization/009 Car Dataset (car_data.txt 112 Bytes
  • 04 Data Preparation/011 User Data (user-data).txt 109 Bytes
  • 03 Streaming Data Collection/008 Lambda function (add-newline-function).txt 108 Bytes
  • 05 Data Analysis and Visualization/008 Amazon QuickSight Announces General Availability of ML Insights.txt 103 Bytes
  • 02 Data Collection/008 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt 96 Bytes
  • 04 Data Preparation/010 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt 96 Bytes
  • 03 Streaming Data Collection/006 Joining and Enriching Streaming Data on Amazon Kinesis.txt 94 Bytes
  • 04 Data Preparation/010 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt 88 Bytes
  • 08 Evaluation and Optimization/006 Amazon SageMaker Automatic Model Tuning Using Machine Learning for Machine Learning.txt 67 Bytes
  • 02 Data Collection/006 DMS Release Review.txt 51 Bytes
  • 04 Data Preparation/009 AWS Glue Release Review.txt 51 Bytes
  • 02 Data Collection/004 Turboencabulator Video.txt 44 Bytes
  • 02 Data Collection/008 AWS reInvent 2018 Effective Data Lakes Challenges and Design Patterns.txt 44 Bytes
  • 02 Data Collection/008 AWS reInvent 2018 Modern Cloud Data Warehousing.txt 44 Bytes
  • 03 Streaming Data Collection/003 AWS reInvent 2018 High Performance Data Streaming with Amazon Kinesis Best Practices.txt 44 Bytes
  • 03 Streaming Data Collection/004 Streaming ETL for Data Lakes using Amazon Kinesis Firehose.txt 44 Bytes
  • 03 Streaming Data Collection/005 Deep Dive - Amazon Kinesis Video Streams.txt 44 Bytes
  • 03 Streaming Data Collection/006 Analyzing Data Streams in Real Time with Amazon Kinesis.txt 44 Bytes
  • 03 Streaming Data Collection/007 Real-Time Machine Learning Using Amazon Kinesis.txt 44 Bytes
  • 04 Data Preparation/009 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt 44 Bytes
  • 04 Data Preparation/009 Getting Started with AWS Glue ETL.txt 44 Bytes
  • 04 Data Preparation/009 Using Apache Spark with Amazon SageMaker - AWS Online Tech Talks.txt 44 Bytes
  • 04 Data Preparation/009 What is AWS Glue.txt 44 Bytes
  • 04 Data Preparation/010 AWS reInvent 2018 Building Serverless Analytics Pipelines with AWS Glue.txt 44 Bytes
  • 04 Data Preparation/010 Building Serverless ETL Pipelines with AWS Glue.txt 44 Bytes
  • 05 Data Analysis and Visualization/008 AWS reInvent 2018 Introducing ML Insights with Amazon QuickSight.txt 44 Bytes
  • 08 Evaluation and Optimization/007 Hyperparameter Tuning with Amazon SageMakers Automatic Model Tuning - AWS Online Tech Talks.txt 44 Bytes
  • 02 Data Collection/004 Technobabble.txt 43 Bytes
  • 03 Streaming Data Collection/002 Googles Big Query.txt 35 Bytes
  • 02 Data Collection/004 MNIST Data.txt 34 Bytes
  • 04 Data Preparation/006 MNIST datasets.txt 34 Bytes
  • 05 Data Analysis and Visualization/002 Gapminder Tool.txt 33 Bytes
  • 03 Streaming Data Collection/002 AWS Open Data Registry.txt 31 Bytes
  • 03 Streaming Data Collection/002 UCI Machine Learning Repository.txt 29 Bytes
  • 02 Data Collection/004 Image Net Data.txt 26 Bytes
  • 03 Streaming Data Collection/002 Kaggle.txt 24 Bytes
  • 05 Data Analysis and Visualization/008 Matplotlib Python Library.txt 24 Bytes
  • 03 Streaming Data Collection/008 httpsrandomuser.txt 23 Bytes
  • 05 Data Analysis and Visualization/009 Jupyter Notebooks.txt 21 Bytes

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