Cloud Academy - Introduction To Machine Learning Concepts

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Cloud Academy - Introduction to Machine Learning Concepts

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Cloud Academy - Introduction to Machine Learning Concepts.torrent
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Uploaded on 09-04-2020 by our crawler pet called "Spidey".
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Description

[ FreeCourseWeb.com ] Cloud Academy - Introduction to Machine Learning Concepts



Download More Latest Courses Visit -->> https://FreeCourseWeb.com







MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Difficulty: Beginner | Genre: eLearning | Language: English | Duration: 7 Lectures (48m) | Size: 350 MB

What you'll learn:

Understand what Machine Learning is and what it offers

Understand the benefits of using the Machine Learning

Understand business use cases and scenarios that can benefit from using the Machine Learning

Understand the different Machine Learning training techniques

Understand the difference between Supervised and Unsupervised training

Understand the difference between Classification and Regression

Become familiar with several of the commonly used and popular Machine Learning algorithms discussed

Understand the basic principles behind Deep Learning and Deep Neural Networks



Requirements

A background in statistics or probability

Familiarity and understanding of computer algorithms

Basic understanding of data analytics



Description

In this course, you'll learn about Machine Learning and where it fits within the wider Artificial Intelligence (AI) field. The course proceeds with a formal definition of Machine Learning and continues on with explanations for the various machine learning and training techniques. We review both Supervised and Unsupervised learning, showcasing the main differences between each type of learning method. We review both Classification and Regression models, showcasing the main differences between each type of training model.



We provide a basic review of several of the most popular and commonly used machine learning algorithms including:



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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



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