Machine Learning for Everyone

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Course Report - Machine Learning for Everyone

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

2 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

2 hours

Course Description

What is the secret of machine learning? This course is not technical and will cover everything you need about machine learning. You don't need to know any coding. The exercises will allow you to learn the language and practice the skills.

What is machine learning? How can it be applied? They cover them all. This highly-demanded, influential field is your opportunity to learn how to be an expert and why machine learning is such a great choice for you.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

An introduction to machine learning with no coding involved

In this chapter, we'll define machine learning and its relation to data science and artificial intelligence

At the end of this chapter, you will know the different types of machine learning, as well as how to evaluate and improve your models

In this chapter, we'll unpack deep learning beginning with neural networks

Course Instructors

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Hadrien Lacroix

Curriculum Manager at DataCamp

Hadrien has collaborated on 30+ courses ranging from machine learning to database administration through data engineering. He's currently enrolled in a Masters of Analytics at Georgia Tech. Hadri...
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Sara Billen

Curriculum Manager at DataCamp

Sara is a graduate of a master's degree in Business Engineering and Marketing Analysis. Prior to working at DataCamp she worked as a Data Science consultant for a Belgian IT company. Sara is passiona...
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Lis Sulmont

Head of Curriculum Expansion at DataCamp

Lis holds a Master's degree in Computer Science from McGill University with a focus on computer science education research and applied machine learning. She's passionate about teaching all things rel...

Course Reviews

Average Rating Based on 3 reviews

5.0

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