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Machine Learning Terminology & Process For Beginners

Learn Machine Learning Terminology & Process and gain solid understanding along with hand-on labs. Master 5 Steps of ML

4.15 / 5.0
6084 students3 hours 26 minutes

Created by ClayDesk E-learning, offered on Udemy

bestcourses score™

Student feedback

5.4/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 6084 students which left 34 reviews at an average rating of 4.15, which is average.

Course length

9/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 3 hours 26 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score

5.7/10

This course currently has a bestcourses score of 5.7/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

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. 

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

In this course, you'll learn and practice:

  1. Basic machine learning terminology and process

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

  3. Prepare and develop data sets

  4. Gain solid understanding of feature engineering and data visualizations

  5. Work with model training and evaluation

  6. Learn about business goal evaluation

  7. 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

What you will 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
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Frequently asked questions

  • Price: $74.99
  • Platform: Udemy
  • Language: English
  • 3 hours 26 minutes
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bestcourses score: 5.7/10

There might be better courses available for this topic.