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Machine Learning Terminology & Process For Beginners

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

Machine Learning Terminology & Process For Beginners

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.

Machine Learning Terminology & Process For Beginners 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 will 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 have built this course with our Team ClayDesk of industry recognized developers and consultants to bring you the best of everything!

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 wll even get a certification of completion)

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