Machine Learning Terminology & Process For Beginners

Category: Business


Posted on 2019-03-29, by fubber.

Description

G-PMachine-Learning-Terminology-Process-For-Beginners.jpg

Machine Learning Terminology & Process For Beginners
mp4 | AVC: 1280x720 G_P| Audio:AAC LC 128 Kbps | Total files:80 | mp4, txt, pdf, vtt, html | 1.66 GB
Genre: eLearning | Language: English



General:


What you'll learn

Fundamentals of Machine Learning Terminology & Process
Learn how to frame a machine learning problem and when to use machine learning
Prepare and develop machine learning data sets
Gain solid understanding of feature engineering and data visualizations
Work with model training and evaluation
Learn about business goal evaluation
See machine learning prediction, and much more....
Use Python in AWS Rekognition

Requirements

Basic statistic concept are desirable but not required
AWS account for free tier requires a credit card
Machine learning with AWS is not free. Watchful eye on billing alerts must be kept

Description

In the world of Artificial Intelligence and Machine Learning with Cloud Computing and Big Data - Learn Machine Learning Terminology & Process For Beginners step-by-step while gaining solid understanding hands-on - Bringing you the latest technologies with up-to-date knowledge.

Are you new to machine learning? Are you looking to enhance you skills within the AWS ecosystem or perhaps pursue AWS certifications? Look no further - learn and acquire new skills with this Machine Learning Terminology & Process For Beginners course.

Course Description

Welcome to Machine Learning Terminology & Process For Beginners - A one of its kind course! It is not only a comprehensive course, you are will not find a course similar to this.

Note: AWS Machine learning is not free. Please note that you may incur additional costs from AWS.

In this course, you'll learn and practice:

Basic machine learning terminology and process

Learn how to frame a machine learning problem and when to use machine learning

Prepare and develop data sets

Gain solid understanding of feature engineering and data visualizations

Work with model training and evaluation

Learn about business goal evaluation

See machine learning prediction, and much more....

In this course, you will also get complete resources, and code where applicable with this course! We've built this course with our Team ClayDesk of industry recognized developers and consultants to bring you the best of everything!

So, if you would like to:

- Gain solid understanding of Machine Learning, this course is for you

- Gain marketable skills as an IT expert and professional, this course is for you

- This course is not designed for intermediate or advanced level students

...this Machine Learning Terminology & Process For Beginners is exactly what you need, and more. (You?ll even get a certification of completion)

What out students say...

See what our students say ?It is such a comprehensive course that I don?t need to take any other course but this one to learn all of Machine Learning processes and important terminology along with demos - Absolutely worth it? - Chavez

?This is such an awesome course. I loved every bit of it ? Wonderful learning experience!? Jill Neumann.

Join thousands of other students and share valuable experience

Why take this course?

As a senior Project Manager & Web developer, managing and deploying enterprise level IT projects, along with a Microsoft Certified Systems Engineer & Trainer, my experience with Machine Learning projects has been phenomenally great! I am excited to share my knowledge and transfer skills to my students.

Enroll now in Machine Learning Terminology & Process For Beginners today and revolutionize your learning. Stay at the cutting edge of enterprise cloud computing ? and enjoy bigger, brighter opportunities.

See you in class!

Syed & Team ClayDesk
Who this course is for:

Beginner machine learning data engineers or data analysts
Anyone who wants to learn and gain solid understanding of machine learning




Video:

Width: 1280 pixels
Height: 720 pixels
Format: AVC
Codec: AVC
Duration: 5min 38s
Bit rate: 595 Kbps
Frame rate: 30.000 fps
Aspect ratio: 16:9
Bit depth: 8 bits
Color space: YUV
~Golden_Plaza~
Subtitles: N/A


Audio:

Audio track: 1
Language: N/A
Codec: AAC LC
Channels: 2
Bit rate: 128 Kbps N/A
Compression: Lossy
Sampling rate: 48 Khz


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