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

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

• 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.

INTENDED AUDIENCE

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

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,...




Category:Tutorials > Tutorials
Lang:English  English
Total Size:2.67 GB
Info Hash:532120049d192087578d5ca22bc7e28f1d5d1b25
Added By:Prom3th3uS
Date Added:13-06-2020 11:22:54

  

Files

File List: 
 File Size
0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url377.00 B
0. Websites you may like/1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url286.00 B
0. Websites you may like/3. (FTUApps.com) Download Cracked Developers Applications For Free.url239.00 B
0. Websites you may like/How you can help our Group!.txt208.00 B
01 Introduction/001 Course Introduction.mp425 MB
01 Introduction/002 About The Exam.mp423 MB
01 Introduction/002 Exam Blueprint.pdf543.16 kB
01 Introduction/003 About This Course.mp430 MB
02 Data Collection/001 Introduction.mp46 MB
02 Data Collection/002 Concepts.mp437 MB
02 Data Collection/003 General Data Terminology.mp430 MB
02 Data Collection/004 Image Net Data.txt26.00 B
02 Data Collection/004 Machine Learning Data Terminology.mp457 MB
02 Data Collection/004 MNIST Data.txt34.00 B
02 Data Collection/004 Technobabble.txt43.00 B
02 Data Collection/004 Turboencabulator Video.txt44.00 B
02 Data Collection/005 AWS Data Stores.mp424 MB
02 Data Collection/006 AWS Glue Classifiers.html42.97 kB
02 Data Collection/006 AWS Migration Tools.mp428 MB
02 Data Collection/006 Data Pipeline Activities.html12.18 kB
02 Data Collection/006 DMS Release Review.txt51.00 B
02 Data Collection/007 AWS Helper Tools.mp412 MB
02 Data Collection/008 AWS reInvent 2018 Effective Data Lakes Challenges and Design Patterns.txt44.00 B
02 Data Collection/008 AWS reInvent 2018 Modern Cloud Data Warehousing.txt44.00 B
02 Data Collection/008 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt96.00 B
02 Data Collection/008 Exam Tips.mp415 MB
02 Data Collection/008 Whitepaper - AWS Database Migration Service Best Practices.pdf583.43 kB
02 Data Collection/008 Whitepaper - Big Data Aanlytics Options on AWS.pdf757.16 kB
02 Data Collection/008 Whitepaper - Data Warehousing on AWS.pdf350.73 kB
02 Data Collection/008 Whitepaper - Migrating to Apache HBase on Amazon S3 on Amazon EMR.pdf809.49 kB
02 Data Collection/008 Whitepaper - Sizing Cloud Data Warehouses.pdf367.93 kB
03 Streaming Data Collection/001 Introduction.mp42 MB
03 Streaming Data Collection/002 AWS Open Data Registry.txt31.00 B
03 Streaming Data Collection/002 Concepts.mp433 MB
03 Streaming Data Collection/002 Googles Big Query.txt35.00 B
03 Streaming Data Collection/002 Kaggle.txt24.00 B
03 Streaming Data Collection/002 UCI Machine Learning Repository.txt29.00 B
03 Streaming Data Collection/003 AWS reInvent 2018 High Performance Data Streaming with Amazon Kinesis Best Practices.txt44.00 B
03 Streaming Data Collection/003 Kinesis Data Streams Key Concepts.html28.44 kB
03 Streaming Data Collection/003 Kinesis Data Streams.mp446 MB
03 Streaming Data Collection/004 Kinesis Firehose.mp417 MB
03 Streaming Data Collection/004 Streaming ETL for Data Lakes using Amazon Kinesis Firehose.txt44.00 B
03 Streaming Data Collection/004 What Is Amazon Kinesis Data Firehose.html21.88 kB
03 Streaming Data Collection/005 Analyze live video at scale in real time using Amazon Kinesis Video Streams and Amazon SageMaker.txt144.00 B
03 Streaming Data Collection/005 Deep Dive - Amazon Kinesis Video Streams.txt44.00 B
03 Streaming Data Collection/005 Kinesis Video Streams.mp412 MB
03 Streaming Data Collection/006 Analyzing Data Streams in Real Time with Amazon Kinesis.txt44.00 B
03 Streaming Data Collection/006 Create real-time clickstream sessions and run analytics with Amazon Kinesis Data Analytics AWS Glue and Amazon Athena.txt157.00 B
03 Streaming Data Collection/006 Joining and Enriching Streaming Data on Amazon Kinesis.txt94.00 B
03 Streaming Data Collection/006 Kinesis Data Analytics.mp422 MB
03 Streaming Data Collection/007 Exam Tips.mp47 MB
03 Streaming Data Collection/007 Real-Time Machine Learning Using Amazon Kinesis.txt44.00 B
03 Streaming Data Collection/007 WHITEPAPER - Streaming Data Solutions on AWS with Amazon Kinesis.pdf1 MB
03 Streaming Data Collection/008 CloudFormation Template (setup data producer).txt123.00 B
03 Streaming Data Collection/008 Create Subset Transformation Query.txt138.00 B
03 Streaming Data Collection/008 httpsrandomuser.txt23.00 B
03 Streaming Data Collection/008 Lambda function (add-newline-function).txt108.00 B
03 Streaming Data Collection/008 PutRecord Python program.py128.00 B
03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4126 MB
04 Data Preparation/001 Introduction.mp42 MB
04 Data Preparation/002 Concepts.mp422 MB
04 Data Preparation/003 Categorical Encoding.mp433 MB
04 Data Preparation/004 Text Feature Engineering.mp459 MB
04 Data Preparation/004 tf-idf Vectorizer.html53.82 kB
04 Data Preparation/005 Numeric Feature Engineering.mp424 MB
04 Data Preparation/005 scikit-learn MinMaxScaler (Normalization).html38.21 kB
04 Data Preparation/005 scikit-learn StandardScaler (Standardization).html48.97 kB
04 Data Preparation/006 Common Dataset Formats.html29.84 kB
04 Data Preparation/006 MNIST datasets.txt34.00 B
04 Data Preparation/006 Other Feature Engineering.mp427 MB
04 Data Preparation/007 Handling Missing Values.mp415 MB
04 Data Preparation/008 Feature Selection.mp411 MB
04 Data Preparation/009 AWS Glue - How it works.html19.04 kB
04 Data Preparation/009 AWS Glue Release Review.txt51.00 B
04 Data Preparation/009 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt44.00 B
04 Data Preparation/009 Getting Started with AWS Glue ETL.txt44.00 B
04 Data Preparation/009 Helper Tools.mp453 MB
04 Data Preparation/009 Using Apache Spark with Amazon SageMaker - AWS Online Tech Talks.txt44.00 B
04 Data Preparation/009 What is AWS Glue.txt44.00 B
04 Data Preparation/010 AWS reInvent 2018 Building Serverless Analytics Pipelines with AWS Glue.txt44.00 B
04 Data Preparation/010 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt88.00 B
04 Data Preparation/010 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt96.00 B
04 Data Preparation/010 Building Serverless ETL Pipelines with AWS Glue.txt44.00 B
04 Data Preparation/010 Exam Tips.mp427 MB
04 Data Preparation/010 Whitepaper - Power Machine Learning at Scale.pdf654.93 kB
04 Data Preparation/011 Age Groupings Query.txt117.00 B
04 Data Preparation/011 Data Preparation Lab.mp4104 MB
04 Data Preparation/011 Gender mapping pyspark code.py117.00 B
04 Data Preparation/011 Gender Percentages Query.txt122.00 B
04 Data Preparation/011 Most Common Ages Query.txt120.00 B
04 Data Preparation/011 User Data (user-data).txt109.00 B
05 Data Analysis and Visualization/001 Introduction.mp43 MB
05 Data Analysis and Visualization/002 Concepts.mp417 MB
05 Data Analysis and Visualization/002 Gapminder Tool.txt33.00 B
05 Data Analysis and Visualization/003 Relationships.mp420 MB
05 Data Analysis and Visualization/004 Comparisons.mp413 MB
05 Data Analysis and Visualization/005 Distributions.mp420 MB
05 Data Analysis and Visualization/006 Compositions.mp410 MB
05 Data Analysis and Visualization/007 Choosing A Visualization.mp421 MB
05 Data Analysis and Visualization/008 Amazon QuickSight Announces General Availability of ML Insights.txt103.00 B
05 Data Analysis and Visualization/008 AWS reInvent 2018 Introducing ML Insights with Amazon QuickSight.txt44.00 B
05 Data Analysis and Visualization/008 Exam Tips.mp48 MB
05 Data Analysis and Visualization/008 Matplotlib Python Library.txt24.00 B
05 Data Analysis and Visualization/009 Box Plot Jupyter Notebook (box-plot-example.txt122.00 B
05 Data Analysis and Visualization/009 Car Dataset (car_data.txt112.00 B
05 Data Analysis and Visualization/009 Data Analysis and Visualization Lab.mp4150 MB
05 Data Analysis and Visualization/009 Jupyter Notebooks.txt21.00 B
05 Data Analysis and Visualization/009 my-manifest.json116.00 B
06 Modeling/001 Introduction.mp43 MB
06 Modeling/002 Concepts.mp437 MB
06 Modeling/003 Data Preparation.mp427 MB
06 Modeling/004 SageMaker Modeling.mp449 MB
06 Modeling/005 SageMaker Training.mp439 MB
06 Modeling/006 Amazon Machine Learning Key Concepts.html54.66 kB
06 Modeling/006 Exam Tips.mp49 MB
06 Modeling/006 Managing Machine Learning Projects.pdf747.21 kB
06 Modeling/006 Use Your Own Algorithms with Amazon SageMaker.html29.65 kB
06 Modeling/007 Jupyter Notebook (ufo-modeling-lab.txt122.00 B
06 Modeling/007 K-Means Hyperparameters Documentation.html29.42 kB
06 Modeling/007 K-Means SageMaker Documentation.html69.22 kB
06 Modeling/007 Modeling Lab.mp4144 MB
06 Modeling/007 UFO Sightings Dataset (ufo_fullset.txt115.00 B
07 Algorithms/001 Introduction.mp42 MB
07 Algorithms/002 OPTIONAL - Why do we call them Algorithms.mp450 MB
07 Algorithms/003 Concepts.mp447 MB
07 Algorithms/004 Regression.mp447 MB
07 Algorithms/005 Clustering.mp425 MB
07 Algorithms/006 Classification.mp424 MB
07 Algorithms/007 Image Analysis.mp428 MB
07 Algorithms/008 Anomaly Detection.mp420 MB
07 Algorithms/009 Text Analytics.mp433 MB
07 Algorithms/010 Reinforcement Learning.mp429 MB
07 Algorithms/011 Forecasting.mp417 MB
07 Algorithms/012 Ensemble Learning.mp424 MB
07 Algorithms/013 Exam Tips.mp422 MB
07 Algorithms/013 Use Amazon SageMaker Built-in Algorithms.html29.94 kB
07 Algorithms/014 Algorithms Lab.mp4196 MB
07 Algorithms/014 Jupyter Notebook (ufo-algorithms-lab.txt124.00 B
07 Algorithms/014 UFO Sightings Dataset (ufo_fullset.txt115.00 B
08 Evaluation and Optimization/001 Introduction.mp42 MB
08 Evaluation and Optimization/002 Concepts.mp419 MB
08 Evaluation and Optimization/003 Monitoring and Analyzing Training Jobs.mp411 MB
08 Evaluation and Optimization/004 Evaluating Model Accuracy.mp451 MB
08 Evaluation and Optimization/005 Model Tuning.mp425 MB
08 Evaluation and Optimization/006 Amazon SageMaker Automatic Model Tuning Using Machine Learning for Machine Learning.txt67.00 B
08 Evaluation and Optimization/006 Easily monitor and visualize metrics while training models on Amazon SageMaker.txt126.00 B
08 Evaluation and Optimization/006 Exam Tips.mp410 MB
08 Evaluation and Optimization/006 Incremental Training in Amazon SageMaker.html49.84 kB
08 Evaluation and Optimization/007 Evaluation and Optimization Lab.mp4164 MB
08 Evaluation and Optimization/007 Hyperparameter Tuning with Amazon SageMakers Automatic Model Tuning - AWS Online Tech Talks.txt44.00 B
08 Evaluation and Optimization/007 Jupyter Notebook (ufo-evaluation-optimization-lab.txt137.00 B
08 Evaluation and Optimization/007 Linear Learner Hyperparameters.html86.40 kB
08 Evaluation and Optimization/007 Training Dataset in recordIO Protobuf format (ufo_sightings_train_recordIO_protobuf.txt142.00 B
08 Evaluation and Optimization/007 Validation Dataset in recordIO Protobuf format (ufo_sightings_validation_recordIO_protobuf.txt148.00 B
09 Implementation and Operations/001 Introduction.mp43 MB
09 Implementation and Operations/002 Concepts.mp443 MB
09 Implementation and Operations/003 AI Developer Services.mp418 MB
09 Implementation and Operations/004 Amazon SageMaker Deployments.mp436 MB
09 Implementation and Operations/005 Other ML Deployment Options.mp47 MB
09 Implementation and Operations/006 Security.mp443 MB
09 Implementation and Operations/007 Monitor and Evaluate.mp434 MB
09 Implementation and Operations/008 AWS Docs Best Practices for Deploying Models.html28.47 kB
09 Implementation and Operations/008 AWS Whitepaper Power Machine Learning at Scale.pdf654.93 kB
09 Implementation and Operations/008 Exam Tips.mp414 MB
09 Implementation and Operations/009 Call an Amazon SageMaker model endpoint using Amazon API Gateway and AWS Lambda.txt127.00 B
09 Implementation and Operations/009 Implementation and Operations Lab.mp4164 MB
09 Implementation and Operations/009 Jupyter Notebook (ufo-implementation-operations-lab.txt139.00 B
09 Implementation and Operations/009 Lambda Function (lambda_function.py118.00 B
09 Implementation and Operations/009 Sample Request JSON (sample_request.json119.00 B
09 Implementation and Operations/009 UFO Full Dataset (ufo_fullset.txt115.00 B
09 Implementation and Operations/010 Deconstruction Lab.mp417 MB
10 Wrap-Up/001 Good Luck.mp48 MB



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