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A Cloud Guru | AWS Certified Machine Learning - Specialty 2020 [FCO]

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File	Size
0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url	377.00 B
0. Websites you may like/1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url	286.00 B
0. Websites you may like/3. (FTUApps.com) Download Cracked Developers Applications For Free.url	239.00 B
0. Websites you may like/How you can help our Group!.txt	208.00 B
01 Introduction/001 Course Introduction.mp4	24.84 MB
01 Introduction/002 About The Exam.mp4	23.22 MB
01 Introduction/002 Exam Blueprint.pdf	543.16 kB
01 Introduction/003 About This Course.mp4	30.43 MB
02 Data Collection/001 Introduction.mp4	5.57 MB
02 Data Collection/002 Concepts.mp4	37.07 MB
02 Data Collection/003 General Data Terminology.mp4	30.28 MB
02 Data Collection/004 Image Net Data.txt	26.00 B
02 Data Collection/004 Machine Learning Data Terminology.mp4	57.19 MB
02 Data Collection/004 MNIST Data.txt	34.00 B
02 Data Collection/004 Technobabble.txt	43.00 B
02 Data Collection/004 Turboencabulator Video.txt	44.00 B
02 Data Collection/005 AWS Data Stores.mp4	23.56 MB
02 Data Collection/006 AWS Glue Classifiers.html	42.97 kB
02 Data Collection/006 AWS Migration Tools.mp4	27.77 MB
02 Data Collection/006 Data Pipeline Activities.html	12.18 kB
02 Data Collection/006 DMS Release Review.txt	51.00 B
02 Data Collection/007 AWS Helper Tools.mp4	12.20 MB
02 Data Collection/008 AWS reInvent 2018 Effective Data Lakes Challenges and Design Patterns.txt	44.00 B
02 Data Collection/008 AWS reInvent 2018 Modern Cloud Data Warehousing.txt	44.00 B
02 Data Collection/008 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt	96.00 B
02 Data Collection/008 Exam Tips.mp4	14.97 MB
02 Data Collection/008 Whitepaper - AWS Database Migration Service Best Practices.pdf	583.43 kB
02 Data Collection/008 Whitepaper - Big Data Aanlytics Options on AWS.pdf	757.16 kB
02 Data Collection/008 Whitepaper - Data Warehousing on AWS.pdf	350.73 kB
02 Data Collection/008 Whitepaper - Migrating to Apache HBase on Amazon S3 on Amazon EMR.pdf	809.49 kB
02 Data Collection/008 Whitepaper - Sizing Cloud Data Warehouses.pdf	367.93 kB
03 Streaming Data Collection/001 Introduction.mp4	1.60 MB
03 Streaming Data Collection/002 AWS Open Data Registry.txt	31.00 B
03 Streaming Data Collection/002 Concepts.mp4	33.43 MB
03 Streaming Data Collection/002 Googles Big Query.txt	35.00 B
03 Streaming Data Collection/002 Kaggle.txt	24.00 B
03 Streaming Data Collection/002 UCI Machine Learning Repository.txt	29.00 B
03 Streaming Data Collection/003 AWS reInvent 2018 High Performance Data Streaming with Amazon Kinesis Best Practices.txt	44.00 B
03 Streaming Data Collection/003 Kinesis Data Streams Key Concepts.html	28.44 kB
03 Streaming Data Collection/003 Kinesis Data Streams.mp4	45.56 MB
03 Streaming Data Collection/004 Kinesis Firehose.mp4	17.04 MB
03 Streaming Data Collection/004 Streaming ETL for Data Lakes using Amazon Kinesis Firehose.txt	44.00 B
03 Streaming Data Collection/004 What Is Amazon Kinesis Data Firehose.html	21.88 kB
03 Streaming Data Collection/005 Analyze live video at scale in real time using Amazon Kinesis Video Streams and Amazon SageMaker.txt	144.00 B
03 Streaming Data Collection/005 Deep Dive - Amazon Kinesis Video Streams.txt	44.00 B
03 Streaming Data Collection/005 Kinesis Video Streams.mp4	11.82 MB
03 Streaming Data Collection/006 Analyzing Data Streams in Real Time with Amazon Kinesis.txt	44.00 B
03 Streaming Data Collection/006 Create real-time clickstream sessions and run analytics with Amazon Kinesis Data Analytics AWS Glue and Amazon Athena.txt	157.00 B
03 Streaming Data Collection/006 Joining and Enriching Streaming Data on Amazon Kinesis.txt	94.00 B
03 Streaming Data Collection/006 Kinesis Data Analytics.mp4	21.52 MB
03 Streaming Data Collection/007 Exam Tips.mp4	6.85 MB
03 Streaming Data Collection/007 Real-Time Machine Learning Using Amazon Kinesis.txt	44.00 B
03 Streaming Data Collection/007 WHITEPAPER - Streaming Data Solutions on AWS with Amazon Kinesis.pdf	1.11 MB
03 Streaming Data Collection/008 CloudFormation Template (setup data producer).txt	123.00 B
03 Streaming Data Collection/008 Create Subset Transformation Query.txt	138.00 B
03 Streaming Data Collection/008 httpsrandomuser.txt	23.00 B
03 Streaming Data Collection/008 Lambda function (add-newline-function).txt	108.00 B
03 Streaming Data Collection/008 PutRecord Python program.py	128.00 B
03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4	125.52 MB
04 Data Preparation/001 Introduction.mp4	1.62 MB
04 Data Preparation/002 Concepts.mp4	21.60 MB
04 Data Preparation/003 Categorical Encoding.mp4	32.79 MB
04 Data Preparation/004 Text Feature Engineering.mp4	58.54 MB
04 Data Preparation/004 tf-idf Vectorizer.html	53.82 kB
04 Data Preparation/005 Numeric Feature Engineering.mp4	23.75 MB
04 Data Preparation/005 scikit-learn MinMaxScaler (Normalization).html	38.21 kB
04 Data Preparation/005 scikit-learn StandardScaler (Standardization).html	48.97 kB
04 Data Preparation/006 Common Dataset Formats.html	29.84 kB
04 Data Preparation/006 MNIST datasets.txt	34.00 B
04 Data Preparation/006 Other Feature Engineering.mp4	27.02 MB
04 Data Preparation/007 Handling Missing Values.mp4	15.25 MB
04 Data Preparation/008 Feature Selection.mp4	11.29 MB
04 Data Preparation/009 AWS Glue - How it works.html	19.04 kB
04 Data Preparation/009 AWS Glue Release Review.txt	51.00 B
04 Data Preparation/009 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt	44.00 B
04 Data Preparation/009 Getting Started with AWS Glue ETL.txt	44.00 B
04 Data Preparation/009 Helper Tools.mp4	53.39 MB
04 Data Preparation/009 Using Apache Spark with Amazon SageMaker - AWS Online Tech Talks.txt	44.00 B
04 Data Preparation/009 What is AWS Glue.txt	44.00 B
04 Data Preparation/010 AWS reInvent 2018 Building Serverless Analytics Pipelines with AWS Glue.txt	44.00 B
04 Data Preparation/010 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt	88.00 B
04 Data Preparation/010 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt	96.00 B
04 Data Preparation/010 Building Serverless ETL Pipelines with AWS Glue.txt	44.00 B
04 Data Preparation/010 Exam Tips.mp4	26.68 MB
04 Data Preparation/010 Whitepaper - Power Machine Learning at Scale.pdf	654.93 kB
04 Data Preparation/011 Age Groupings Query.txt	117.00 B
04 Data Preparation/011 Data Preparation Lab.mp4	103.95 MB
04 Data Preparation/011 Gender mapping pyspark code.py	117.00 B
04 Data Preparation/011 Gender Percentages Query.txt	122.00 B
04 Data Preparation/011 Most Common Ages Query.txt	120.00 B
04 Data Preparation/011 User Data (user-data).txt	109.00 B
05 Data Analysis and Visualization/001 Introduction.mp4	2.99 MB
05 Data Analysis and Visualization/002 Concepts.mp4	16.66 MB
05 Data Analysis and Visualization/002 Gapminder Tool.txt	33.00 B
05 Data Analysis and Visualization/003 Relationships.mp4	20.08 MB
05 Data Analysis and Visualization/004 Comparisons.mp4	13.32 MB
05 Data Analysis and Visualization/005 Distributions.mp4	19.50 MB
05 Data Analysis and Visualization/006 Compositions.mp4	9.61 MB
05 Data Analysis and Visualization/007 Choosing A Visualization.mp4	20.98 MB
05 Data Analysis and Visualization/008 Amazon QuickSight Announces General Availability of ML Insights.txt	103.00 B
05 Data Analysis and Visualization/008 AWS reInvent 2018 Introducing ML Insights with Amazon QuickSight.txt	44.00 B
05 Data Analysis and Visualization/008 Exam Tips.mp4	7.67 MB
05 Data Analysis and Visualization/008 Matplotlib Python Library.txt	24.00 B
05 Data Analysis and Visualization/009 Box Plot Jupyter Notebook (box-plot-example.txt	122.00 B
05 Data Analysis and Visualization/009 Car Dataset (car_data.txt	112.00 B
05 Data Analysis and Visualization/009 Data Analysis and Visualization Lab.mp4	149.91 MB
05 Data Analysis and Visualization/009 Jupyter Notebooks.txt	21.00 B
05 Data Analysis and Visualization/009 my-manifest.json	116.00 B
06 Modeling/001 Introduction.mp4	2.77 MB
06 Modeling/002 Concepts.mp4	37.06 MB
06 Modeling/003 Data Preparation.mp4	27.12 MB
06 Modeling/004 SageMaker Modeling.mp4	48.80 MB
06 Modeling/005 SageMaker Training.mp4	39.05 MB
06 Modeling/006 Amazon Machine Learning Key Concepts.html	54.66 kB
06 Modeling/006 Exam Tips.mp4	9.25 MB
06 Modeling/006 Managing Machine Learning Projects.pdf	747.21 kB
06 Modeling/006 Use Your Own Algorithms with Amazon SageMaker.html	29.65 kB
06 Modeling/007 Jupyter Notebook (ufo-modeling-lab.txt	122.00 B
06 Modeling/007 K-Means Hyperparameters Documentation.html	29.42 kB
06 Modeling/007 K-Means SageMaker Documentation.html	69.22 kB
06 Modeling/007 Modeling Lab.mp4	143.96 MB
06 Modeling/007 UFO Sightings Dataset (ufo_fullset.txt	115.00 B
07 Algorithms/001 Introduction.mp4	2.47 MB
07 Algorithms/002 OPTIONAL - Why do we call them Algorithms.mp4	49.65 MB
07 Algorithms/003 Concepts.mp4	47.31 MB
07 Algorithms/004 Regression.mp4	46.58 MB
07 Algorithms/005 Clustering.mp4	24.94 MB
07 Algorithms/006 Classification.mp4	23.57 MB
07 Algorithms/007 Image Analysis.mp4	27.55 MB
07 Algorithms/008 Anomaly Detection.mp4	20.28 MB
07 Algorithms/009 Text Analytics.mp4	32.85 MB
07 Algorithms/010 Reinforcement Learning.mp4	29.43 MB
07 Algorithms/011 Forecasting.mp4	16.98 MB
07 Algorithms/012 Ensemble Learning.mp4	24.11 MB
07 Algorithms/013 Exam Tips.mp4	21.54 MB
07 Algorithms/013 Use Amazon SageMaker Built-in Algorithms.html	29.94 kB
07 Algorithms/014 Algorithms Lab.mp4	195.99 MB
07 Algorithms/014 Jupyter Notebook (ufo-algorithms-lab.txt	124.00 B
07 Algorithms/014 UFO Sightings Dataset (ufo_fullset.txt	115.00 B
08 Evaluation and Optimization/001 Introduction.mp4	1.61 MB
08 Evaluation and Optimization/002 Concepts.mp4	19.20 MB
08 Evaluation and Optimization/003 Monitoring and Analyzing Training Jobs.mp4	11.05 MB
08 Evaluation and Optimization/004 Evaluating Model Accuracy.mp4	50.89 MB
08 Evaluation and Optimization/005 Model Tuning.mp4	24.65 MB
08 Evaluation and Optimization/006 Amazon SageMaker Automatic Model Tuning Using Machine Learning for Machine Learning.txt	67.00 B
08 Evaluation and Optimization/006 Easily monitor and visualize metrics while training models on Amazon SageMaker.txt	126.00 B
08 Evaluation and Optimization/006 Exam Tips.mp4	10.40 MB
08 Evaluation and Optimization/006 Incremental Training in Amazon SageMaker.html	49.84 kB
08 Evaluation and Optimization/007 Evaluation and Optimization Lab.mp4	164.32 MB
08 Evaluation and Optimization/007 Hyperparameter Tuning with Amazon SageMakers Automatic Model Tuning - AWS Online Tech Talks.txt	44.00 B
08 Evaluation and Optimization/007 Jupyter Notebook (ufo-evaluation-optimization-lab.txt	137.00 B
08 Evaluation and Optimization/007 Linear Learner Hyperparameters.html	86.40 kB
08 Evaluation and Optimization/007 Training Dataset in recordIO Protobuf format (ufo_sightings_train_recordIO_protobuf.txt	142.00 B
08 Evaluation and Optimization/007 Validation Dataset in recordIO Protobuf format (ufo_sightings_validation_recordIO_protobuf.txt	148.00 B
09 Implementation and Operations/001 Introduction.mp4	2.87 MB
09 Implementation and Operations/002 Concepts.mp4	43.12 MB
09 Implementation and Operations/003 AI Developer Services.mp4	17.71 MB
09 Implementation and Operations/004 Amazon SageMaker Deployments.mp4	36.25 MB
09 Implementation and Operations/005 Other ML Deployment Options.mp4	7.28 MB
09 Implementation and Operations/006 Security.mp4	42.95 MB
09 Implementation and Operations/007 Monitor and Evaluate.mp4	34.25 MB
09 Implementation and Operations/008 AWS Docs Best Practices for Deploying Models.html	28.47 kB
09 Implementation and Operations/008 AWS Whitepaper Power Machine Learning at Scale.pdf	654.93 kB
09 Implementation and Operations/008 Exam Tips.mp4	14.11 MB
09 Implementation and Operations/009 Call an Amazon SageMaker model endpoint using Amazon API Gateway and AWS Lambda.txt	127.00 B
09 Implementation and Operations/009 Implementation and Operations Lab.mp4	164.09 MB
09 Implementation and Operations/009 Jupyter Notebook (ufo-implementation-operations-lab.txt	139.00 B
09 Implementation and Operations/009 Lambda Function (lambda_function.py	118.00 B
09 Implementation and Operations/009 Sample Request JSON (sample_request.json	119.00 B
09 Implementation and Operations/009 UFO Full Dataset (ufo_fullset.txt	115.00 B
09 Implementation and Operations/010 Deconstruction Lab.mp4	16.93 MB
10 Wrap-Up/001 Good Luck.mp4	7.58 MB

Description

Lynda and other Courses >>> https://www.freecoursesonline.me/
For Developer Tools & Apps >>> https://ftuapps.com/
Forum for discussion >>> https://1hack.us/

By: Brock Tubre, Scott Pletcher
Publisher: ACloud.Guru
Course Source: https://acloud.guru/learn/aws-certified-machine-learning-specialty

Ace the AWS Machine Learning Specialty Certification exam with ACG - no PhD in Mathematics needed!.

Description

Hello Cloud Gurus,

Your executive board members are asking you to do something with it. Your grandmother is asking you if it will put you out of a job. Your deadbeat college roommate is asking if you can help him find a date with it. Everyone seems to fuss over Machine Learning, but how many of us truly understand it? Too few.

Fortunately, ACG has your back yet again with a fresh course focused on helping you outsmart the new AWS Certified Machine Learning Specialty. In typical ACG manner, we have created a course that confronts the potentially dull and boring topic of machine learning head-on with quirky and engaging lectures, interactive labs and plenty of real-world, plain-speak examples.

In this course, you’ll learn:

• The domains of knowledge for the AWS Certified Machine Learning Speciality exam.
• Best practices for using the tools and platforms of AWS for data engineering, data analysis, machine learning modeling, model evaluation and deployment.
• Hands-on labs designed to challenge your intuition, creativity and knowledge of the AWS platform.

With this course you'll get a solid understanding of the services and platforms available on AWS for Machine Learning projects, build a foundation to pass the certification exam and feel equipped to use the AWS ML portfolio in your own real-world applications.

Don’t just sit idly by, watching as robotic overlords take over the world. Create your own army of sentient machines and beat them at their own game! And keep being awesome, cloud gurus!

EXPECTED OUTCOMES[b]

• You will become familiar with the blueprint coverage and expectations of the AWS Certified Machine Learning - Specialty exam
• You will gain a solid understanding of the services and platforms available on AWS for machine learning projects.
• You will build some background on how and why machine learning activities and concepts work in a practical sense.
• You will be equipped with a level of comfort using the AWS ML portfolio in real-world use cases and applications.

[b]INTENDED AUDIENCE[b]

• Learners who want a solid understanding of machine learning services, platforms and tools available on AWS.

[b]PREREQUISITES

• You must have an AWS account to attempt the labs.

About Author

Brock Tubre, I am an experienced software developer and technical instructor, with a passion for anything and everything cloud. Before joining ACG, I worked on enterprise software solutions for the US government. Building software and teaching the world to cloud are my professional passions, and I am excited to do both at ACG. When I am not researching, developing or teaching, I enjoy speed solving puzzle cubes (even blind solving), homebrewing craft beer and playing baseball.

Scott Pletcher, I've been in the IT field for over 27 years, most of which has been in technology leadership positions within large enterprises and global organizations. Working in the retail, apparel, footwear, automotive, manufacturing and professional services industries, I've served as Enterprise Architect, SAP Technical Director, Software Development Manager, IT Operations Manager, Agile Coach and Innovation Program Manager. I've also mentored dozens of prospective IT leaders through the years both in a formal leadership capacity and through volunteer work with local STEM programs. For the past 9 years, I've helped deliver enterprise-class architectures with AWS,...