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[FreeCoursesOnline.Me] A Cloud Guru - AWS Certified Machine Learning - Specialty 2020
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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,...
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FILE LIST
Filename
Size
0. Websites you may like/How you can help our Group!.txt
208 B
01 Introduction/001 Course Introduction.mp4
24.8 MB
01 Introduction/002 About The Exam.mp4
23.2 MB
01 Introduction/002 Exam Blueprint.pdf
543.2 KB
01 Introduction/003 About This Course.mp4
30.4 MB
02 Data Collection/001 Introduction.mp4
5.6 MB
02 Data Collection/002 Concepts.mp4
37.1 MB
02 Data Collection/003 General Data Terminology.mp4
30.3 MB
02 Data Collection/004 Image Net Data.txt
26 B
02 Data Collection/004 Machine Learning Data Terminology.mp4
57.2 MB
02 Data Collection/004 MNIST Data.txt
34 B
02 Data Collection/004 Technobabble.txt
43 B
02 Data Collection/004 Turboencabulator Video.txt
44 B
02 Data Collection/005 AWS Data Stores.mp4
23.6 MB
02 Data Collection/006 AWS Glue Classifiers.html
43 KB
02 Data Collection/006 AWS Migration Tools.mp4
27.8 MB
02 Data Collection/006 Data Pipeline Activities.html
12.2 KB
02 Data Collection/006 DMS Release Review.txt
51 B
02 Data Collection/007 AWS Helper Tools.mp4
12.2 MB
02 Data Collection/008 AWS reInvent 2018 Effective Data Lakes Challenges and Design Patterns.txt
44 B
02 Data Collection/008 AWS reInvent 2018 Modern Cloud Data Warehousing.txt
44 B
02 Data Collection/008 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt
96 B
02 Data Collection/008 Exam Tips.mp4
15 MB
02 Data Collection/008 Whitepaper - AWS Database Migration Service Best Practices.pdf
583.4 KB
02 Data Collection/008 Whitepaper - Big Data Aanlytics Options on AWS.pdf
757.2 KB
02 Data Collection/008 Whitepaper - Data Warehousing on AWS.pdf
350.7 KB
02 Data Collection/008 Whitepaper - Migrating to Apache HBase on Amazon S3 on Amazon EMR.pdf
809.5 KB
02 Data Collection/008 Whitepaper - Sizing Cloud Data Warehouses.pdf
367.9 KB
03 Streaming Data Collection/001 Introduction.mp4
1.6 MB
03 Streaming Data Collection/002 AWS Open Data Registry.txt
31 B
03 Streaming Data Collection/002 Concepts.mp4
33.4 MB
03 Streaming Data Collection/002 Googles Big Query.txt
35 B
03 Streaming Data Collection/002 Kaggle.txt
24 B
03 Streaming Data Collection/002 UCI Machine Learning Repository.txt
29 B
03 Streaming Data Collection/003 AWS reInvent 2018 High Performance Data Streaming with Amazon Kinesis Best Practices.txt
44 B
03 Streaming Data Collection/003 Kinesis Data Streams Key Concepts.html
28.4 KB
03 Streaming Data Collection/003 Kinesis Data Streams.mp4
45.6 MB
03 Streaming Data Collection/004 Kinesis Firehose.mp4
17 MB
03 Streaming Data Collection/004 Streaming ETL for Data Lakes using Amazon Kinesis Firehose.txt
44 B
03 Streaming Data Collection/004 What Is Amazon Kinesis Data Firehose.html
21.9 KB
03 Streaming Data Collection/005 Analyze live video at scale in real time using Amazon Kinesis Video Streams and Amazon SageMaker.txt
144 B
03 Streaming Data Collection/005 Deep Dive - Amazon Kinesis Video Streams.txt
44 B
03 Streaming Data Collection/005 Kinesis Video Streams.mp4
11.8 MB
03 Streaming Data Collection/006 Analyzing Data Streams in Real Time with Amazon Kinesis.txt
44 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 B
03 Streaming Data Collection/006 Joining and Enriching Streaming Data on Amazon Kinesis.txt
94 B
03 Streaming Data Collection/006 Kinesis Data Analytics.mp4
21.5 MB
03 Streaming Data Collection/007 Exam Tips.mp4
6.8 MB
03 Streaming Data Collection/007 Real-Time Machine Learning Using Amazon Kinesis.txt
44 B
03 Streaming Data Collection/007 WHITEPAPER - Streaming Data Solutions on AWS with Amazon Kinesis.pdf
1.1 MB
03 Streaming Data Collection/008 CloudFormation Template (setup data producer).txt
123 B
03 Streaming Data Collection/008 Create Subset Transformation Query.txt
138 B
03 Streaming Data Collection/008 httpsrandomuser.txt
23 B
03 Streaming Data Collection/008 Lambda function (add-newline-function).txt
108 B
03 Streaming Data Collection/008 PutRecord Python program.py
128 B
03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4
125.5 MB
04 Data Preparation/001 Introduction.mp4
1.6 MB
04 Data Preparation/002 Concepts.mp4
21.6 MB
04 Data Preparation/003 Categorical Encoding.mp4
32.8 MB
04 Data Preparation/004 Text Feature Engineering.mp4
58.5 MB
04 Data Preparation/004 tf-idf Vectorizer.html
53.8 KB
04 Data Preparation/005 Numeric Feature Engineering.mp4
23.7 MB
04 Data Preparation/005 scikit-learn MinMaxScaler (Normalization).html
38.2 KB
04 Data Preparation/005 scikit-learn StandardScaler (Standardization).html
49 KB
04 Data Preparation/006 Common Dataset Formats.html
29.8 KB
04 Data Preparation/006 MNIST datasets.txt
34 B
04 Data Preparation/006 Other Feature Engineering.mp4
27 MB
04 Data Preparation/007 Handling Missing Values.mp4
15.3 MB
04 Data Preparation/008 Feature Selection.mp4
11.3 MB
04 Data Preparation/009 AWS Glue - How it works.html
19 KB
04 Data Preparation/009 AWS Glue Release Review.txt
51 B
04 Data Preparation/009 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt
44 B
04 Data Preparation/009 Getting Started with AWS Glue ETL.txt
44 B
04 Data Preparation/009 Helper Tools.mp4
53.4 MB
04 Data Preparation/009 Using Apache Spark with Amazon SageMaker - AWS Online Tech Talks.txt
44 B
04 Data Preparation/009 What is AWS Glue.txt
44 B
04 Data Preparation/010 AWS reInvent 2018 Building Serverless Analytics Pipelines with AWS Glue.txt
44 B
04 Data Preparation/010 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt
88 B
04 Data Preparation/010 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt
96 B
04 Data Preparation/010 Building Serverless ETL Pipelines with AWS Glue.txt
44 B
04 Data Preparation/010 Exam Tips.mp4
26.7 MB
04 Data Preparation/010 Whitepaper - Power Machine Learning at Scale.pdf
654.9 KB
04 Data Preparation/011 Age Groupings Query.txt
117 B
04 Data Preparation/011 Data Preparation Lab.mp4
104 MB
04 Data Preparation/011 Gender mapping pyspark code.py
117 B
04 Data Preparation/011 Gender Percentages Query.txt
122 B
04 Data Preparation/011 Most Common Ages Query.txt
120 B
04 Data Preparation/011 User Data (user-data).txt
109 B
05 Data Analysis and Visualization/001 Introduction.mp4
3 MB
05 Data Analysis and Visualization/002 Concepts.mp4
16.7 MB
05 Data Analysis and Visualization/002 Gapminder Tool.txt
33 B
05 Data Analysis and Visualization/003 Relationships.mp4
20.1 MB
05 Data Analysis and Visualization/004 Comparisons.mp4
13.3 MB
05 Data Analysis and Visualization/005 Distributions.mp4
19.5 MB
05 Data Analysis and Visualization/006 Compositions.mp4
9.6 MB
05 Data Analysis and Visualization/007 Choosing A Visualization.mp4
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