Cloud Academy Introduction to Machine Learning Part One-stm

[Prohibitive]

CLOUD ACADEMY INTRODUCTION TO MACHINE LEARNING PART ONE-STM
Size: 1.88 GB
Genre: eLearning | Language: English

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.:PROUDLY PRESENTS:.

Cloud Academy Introduction to Machine Learning - Part One

Release Date.: 09-07-2020
Type.: Bookware
Disks.: 21x50mb
Link.: https://cloudacademy.com

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▐█████▓▓▌ Release Notes ▐▓▓█████▌
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Welcome ?to an introduction to using Artificial
Intelligence and Machine Learning with a focus on Amazon
Web services and the Google Cloud platform. This course? is
designed to be a gentle introduction, starting at the
ground up and focusing on giving students the tools and
materials they need to navigate the topic. It will also
include the necessary skills around data engineering, cloud
management and even some systems engineering. There are
several labs directly tied to this learning path, which
will provide hands-on experience to supplement the academic
knowledge provided in the lectures.
This course begins with a introduction to AI and ML, before
moving onto explain the different levels of users in the
field. Then we take a look at out-of-the-box solutions for
AI and ML, before looking at a case study to give you the
topics covered during this course in a real-world example.

For any feedback relating to this course, please contact us
at [email protected].
Learning Objectives
By the end of this course, you'll hopefully understand how
to take more advanced courses and even a springboard into
handling complex tasks in your day to day job, whether it
be a professional, student, or hobbyist environment.
Intended Audience
This course? is a multi-part series ideal for those who are
interested in understanding machine learning from a 101
perspective, and for those wanting to become data
engineers. If you already understand concepts such as how
to train and inference a model, you may wish to skip ahead
to part two or a more advanced learning path.
Prerequisites
It helps if you have a light data engineering or developer
background as several parts of this class, particularly the
labs, involve hands-on work and manipulating basic data
structures and scripts. The labs all have highly detailed
notes to help novice users understand them but you will be
able to more easily expand at your own pace with a good
baseline understanding. As we explain? the core concepts,
there are some prerequisites for this course.

It is recommended that you have a basic familiarity with
one of the cloud providers, especially AWS or GCP. Azure,
Oracle and other providers also have machine learning
suites but these two are the focus for this class.
If you have an interested completing the labs for hands on
work, Python is a helpful language to understand. Now, if
you're looking into a career in machine learning, you can
definitely do it with languages such as Java, C#, even
lower level languages such a C++ or functional languages
such as R or Matlab. However, in my experience, Python is
the most widely adopted language specifically, if you're
looking to go heavy duty into training, learning, and
developing models,

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▄▓▓█▓▓██▄ Kodemusen, KoseBamsen ▄██▓▓█▓▓▄
▄▓▓██ ▓▓██▄ ▄██▓▓ ██▓▓▄
▄▓▓██ ▓▓██▄ STM is back. ▄██▓▓ ██▓▓▄
▄▓▓██ ▓▓██▄ For all the ppl we worked with ▄██▓▓ ██▓▓▄
▄▓▓██▀ ▓▓██▄ in the past. We salute you. ▄██▓▓ ▀██▓▓▄
▄▓▓██▀ ▓▓██▄ ▄██▓▓ ▀██▓▓▄
▐▓▓██▌ ▀███▄ ▄███▀ ▐██▓▓▌
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▀▓▓█ ▐████▓▓▓▌ NFO by NiMiTech ▐▓▓▓████▌ █▓▓▀
▀▓▓█▄ ▐█████▓▓▌ Updated: 09/09/2002 ▐▓▓█████▌ ▄█▓▓▀
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Nitroflare

https://nitro.download/view/7B2487A4FD32EC3/cloud.academy.introduction.to.machine.learning.part.one-stm.part1.rar
https://nitro.download/view/37D012B2FB5B9B6/cloud.academy.introduction.to.machine.learning.part.one-stm.part2.rar
https://nitro.download/view/76EE02C7088E4F2/cloud.academy.introduction.to.machine.learning.part.one-stm.part3.rar

Rapidgator

https://rapidgator.net/file/0d1d6f23d0d656195a0b65203e54cbe6/cloud.academy.introduction.to.machine.learning.part.one-stm.part1.rar
https://rapidgator.net/file/98600811538634bdbc8d478be059a95a/cloud.academy.introduction.to.machine.learning.part.one-stm.part2.rar
https://rapidgator.net/file/0ca7af09d3568868cce179b6eea6f02a/cloud.academy.introduction.to.machine.learning.part.one-stm.part3.rar