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Download [CourseClub.Me] ACloudGuru - AWS Certified Machine Learning – Specialty 2019

CourseClub Me ACloudGuru AWS Certified Machine Learning Specialty 2019

Name

[CourseClub.Me] ACloudGuru - AWS Certified Machine Learning – Specialty 2019

 DOWNLOAD Copy Link

Total Size

3.0 GB

Total Files

167

Hash

A854BA76C016DFBB35D016795C96E5C4FA4A06C0

/01 Introduction/

001 Course Introduction.mp4

29.1 MB

002 About The Exam.mp4

65.0 MB

002 Exam Blueprint.pdf

556.2 KB

003 About This Course.mp4

88.5 MB

/02 Data Collection/

001 Introduction.mp4

19.3 MB

002 Concepts.mp4

38.9 MB

003 General Data Terminology.mp4

31.7 MB

004 Image Net Data.txt

0.0 KB

004 MNIST Data.txt

0.0 KB

004 Machine Learning Data Terminology.mp4

60.0 MB

004 Technobabble.txt

0.0 KB

004 Turboencabulator Video.txt

0.0 KB

005 AWS Data Stores.mp4

24.7 MB

006 AWS Glue Classifiers.html

41.2 KB

006 AWS Migration Tools.mp4

29.1 MB

006 DMS Release Review.txt

0.1 KB

006 Data Pipeline Activities.html

16.0 KB

007 AWS Helper Tools.mp4

12.8 MB

008 AWS reInvent 2018 Effective Data Lakes Challenges and Design Patterns.txt

0.0 KB

008 AWS reInvent 2018 Modern Cloud Data Warehousing.txt

0.0 KB

008 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt

0.1 KB

008 Exam Tips.mp4

15.7 MB

008 Whitepaper - AWS Database Migration Service Best Practices.pdf

597.4 KB

008 Whitepaper - Big Data Aanlytics Options on AWS.pdf

775.3 KB

008 Whitepaper - Data Warehousing on AWS.pdf

359.1 KB

008 Whitepaper - Migrating to Apache HBase on Amazon S3 on Amazon EMR.pdf

828.9 KB

008 Whitepaper - Sizing Cloud Data Warehouses.pdf

376.8 KB

/03 Streaming Data Collection/

001 Introduction.mp4

4.5 MB

002 AWS Open Data Registry.txt

0.0 KB

002 Concepts.mp4

35.1 MB

002 Googles Big Query.txt

0.0 KB

002 Kaggle.txt

0.0 KB

002 UCI Machine Learning Repository.txt

0.0 KB

003 AWS reInvent 2018 High Performance Data Streaming with Amazon Kinesis Best Practices.txt

0.0 KB

003 Kinesis Data Streams Key Concepts.html

28.6 KB

003 Kinesis Data Streams.mp4

47.8 MB

004 Kinesis Firehose.mp4

17.4 MB

004 Streaming ETL for Data Lakes using Amazon Kinesis Firehose.txt

0.0 KB

004 What Is Amazon Kinesis Data Firehose.html

23.3 KB

005 Analyze live video at scale in real time using Amazon Kinesis Video Streams and Amazon SageMaker.txt

0.1 KB

005 Deep Dive - Amazon Kinesis Video Streams.txt

0.0 KB

005 Kinesis Video Streams.mp4

12.4 MB

006 Analyzing Data Streams in Real Time with Amazon Kinesis.txt

0.0 KB

006 Create real-time clickstream sessions and run analytics with Amazon Kinesis Data Analytics AWS Glue and Amazon Athena.txt

0.2 KB

006 Joining and Enriching Streaming Data on Amazon Kinesis.txt

0.1 KB

006 Kinesis Data Analytics.mp4

22.6 MB

007 Exam Tips.mp4

7.2 MB

007 Real-Time Machine Learning Using Amazon Kinesis.txt

0.0 KB

007 WHITEPAPER - Streaming Data Solutions on AWS with Amazon Kinesis.pdf

1.2 MB

008 CloudFormation Template (setup data producer).txt

0.1 KB

008 Create Subset Transformation Query.txt

0.1 KB

008 Lambda function (add-newline-function).txt

0.1 KB

008 PutRecord Python program.py

0.1 KB

008 Streaming Data Collection Lab.mp4

131.6 MB

008 httpsrandomuser.txt

0.0 KB

/04 Data Preparation/

001 Introduction.mp4

4.9 MB

002 Concepts.mp4

22.7 MB

003 Categorical Encoding.mp4

34.4 MB

004 Text Feature Engineering.mp4

61.4 MB

004 tf-idf Vectorizer.html

49.6 KB

005 Numeric Feature Engineering.mp4

24.9 MB

005 scikit-learn MinMaxScaler (Normalization).html

34.3 KB

005 scikit-learn StandardScaler (Standardization).html

44.5 KB

006 Common Dataset Formats.html

31.7 KB

006 MNIST datasets.txt

0.0 KB

006 Other Feature Engineering.mp4

28.3 MB

007 Handling Missing Values.mp4

16.0 MB

008 Feature Selection.mp4

11.8 MB

009 AWS Glue - How it works.html

21.7 KB

009 AWS Glue Release Review.txt

0.1 KB

009 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt

0.0 KB

009 Getting Started with AWS Glue ETL.txt

0.0 KB

009 Helper Tools.mp4

56.0 MB

009 Using Apache Spark with Amazon SageMaker - AWS Online Tech Talks.txt

0.0 KB

009 What is AWS Glue.txt

0.0 KB

010 AWS reInvent 2018 Building Serverless Analytics Pipelines with AWS Glue.txt

0.0 KB

010 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt

0.1 KB

010 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt

0.1 KB

010 Building Serverless ETL Pipelines with AWS Glue.txt

0.0 KB

010 Exam Tips.mp4

28.2 MB

011 Age Groupings Query.txt

0.1 KB

011 Data Preparation Lab.mp4

109.0 MB

011 Gender Percentages Query.txt

0.1 KB

011 Gender mapping pyspark code.py

0.1 KB

011 Most Common Ages Query.txt

0.0 KB

011 User Data (user-data).txt

0.1 KB

/05 Data Analysis and Visualization/

001 Introduction.mp4

10.3 MB

002 Concepts.mp4

17.5 MB

002 Gapminder Tool.txt

0.0 KB

003 Relationships.mp4

21.1 MB

004 Comparisons.mp4

14.0 MB

005 Distributions.mp4

20.4 MB

006 Compositions.mp4

10.1 MB

007 Choosing A Visualization.mp4

22.0 MB

008 AWS reInvent 2018 Introducing ML Insights with Amazon QuickSight.txt

0.0 KB

008 Amazon QuickSight Announces General Availability of ML Insights.txt

0.1 KB

008 Exam Tips.mp4

8.0 MB

008 Matplotlib Python Library.txt

0.0 KB

009 Box Plot Jupyter Notebook (box-plot-example.txt

0.1 KB

009 Car Dataset (car_data.txt

0.1 KB

009 Data Analysis and Visualization Lab.mp4

157.2 MB

009 Jupyter Notebooks.txt

0.0 KB

009 my-manifest.json

0.1 KB

/06 Modeling/

001 Introduction.mp4

2.9 MB

002 Concepts.mp4

38.9 MB

003 Data Preparation.mp4

28.4 MB

004 SageMaker Modeling.mp4

51.2 MB

005 SageMaker Training.mp4

40.9 MB

006 Amazon Machine Learning Key Concepts.html

51.1 KB

006 Exam Tips.mp4

9.7 MB

006 Managing Machine Learning Projects.pdf

765.1 KB

006 Use Your Own Algorithms with Amazon SageMaker.html

29.6 KB

007 Jupyter Notebook (ufo-modeling-lab.txt

0.1 KB

007 K-Means Hyperparameters Documentation.html

29.9 KB

007 K-Means SageMaker Documentation.html

60.7 KB

007 Modeling Lab.mp4

151.0 MB

007 UFO Sightings Dataset (ufo_fullset.txt

0.1 KB

/07 Algorithms/

001 Introduction.mp4

2.6 MB

002 OPTIONAL - Why do we call them Algorithms.mp4

52.1 MB

003 Concepts.mp4

49.6 MB

004 Regression.mp4

48.5 MB

005 Clustering.mp4

26.1 MB

006 Classification.mp4

24.7 MB

007 Image Analysis.mp4

28.9 MB

008 Anomaly Detection.mp4

21.3 MB

009 Text Analytics.mp4

34.4 MB

010 Reinforcement Learning.mp4

30.9 MB

011 Forecasting.mp4

17.8 MB

012 Ensemble Learning.mp4

25.3 MB

013 Exam Tips.mp4

22.6 MB

013 Use Amazon SageMaker Built-in Algorithms.html

31.0 KB

014 Algorithms Lab.mp4

205.5 MB

014 Jupyter Notebook (ufo-algorithms-lab.txt

0.1 KB

014 UFO Sightings Dataset (ufo_fullset.txt

0.1 KB

/08 Evaluation and Optimization/

001 Introduction.mp4

1.7 MB

002 Concepts.mp4

20.1 MB

003 Monitoring and Analyzing Training Jobs.mp4

11.6 MB

004 Evaluating Model Accuracy.mp4

47.2 MB

005 Model Tuning.mp4

25.8 MB

006 Amazon SageMaker Automatic Model Tuning Using Machine Learning for Machine Learning.txt

0.1 KB

006 Easily monitor and visualize metrics while training models on Amazon SageMaker.txt

0.1 KB

006 Exam Tips.mp4

10.9 MB

006 Incremental Training in Amazon SageMaker.html

47.8 KB

007 Evaluation and Optimization Lab.mp4

172.3 MB

007 Hyperparameter Tuning with Amazon SageMakers Automatic Model Tuning - AWS Online Tech Talks.txt

0.0 KB

007 Jupyter Notebook (ufo-evaluation-optimization-lab.txt

0.1 KB

007 Linear Learner Hyperparameters.html

78.0 KB

007 Training Dataset in recordIO Protobuf format (ufo_sightings_train_recordIO_protobuf.txt

0.1 KB

007 Validation Dataset in recordIO Protobuf format (ufo_sightings_validation_recordIO_protobuf.txt

0.1 KB

/09 Implementation and Operations/

001 Introduction.mp4

2.3 MB

002 Concepts.mp4

45.2 MB

003 AI Developer Services.mp4

18.6 MB

004 Amazon SageMaker Deployments.mp4

38.0 MB

005 Other ML Deployment Options.mp4

7.6 MB

006 Security.mp4

45.7 MB

007 Monitor and Evaluate.mp4

35.9 MB

008 Exam Tips.mp4

14.8 MB

009 Call an Amazon SageMaker model endpoint using Amazon API Gateway and AWS Lambda.txt

0.1 KB

009 Implementation and Operations Lab.mp4

172.1 MB

009 Jupyter Notebook (ufo-implementation-operations-lab.txt

0.1 KB

009 Lambda Function (lambda_function.py

0.1 KB

009 Sample Request JSON (sample_request.json

0.1 KB

009 UFO Full Dataset (ufo_fullset.txt

0.1 KB

010 Deconstruction Lab.mp4

11.6 MB

/10 Wrap-Up/

001 Good Luck.mp4

8.6 MB

/

[CourseClub.Me].url

0.0 KB

[DesireCourse.Net].url

0.1 KB

 

Total files 167


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