Digishock 2.0: Machine Learning for Beginners (No Coding)

Online Course

Udemy

What is the course about?
Prerequisites & Facts
Cost, Certificate & Degree
Reviews & Experiences

What is the course about?

Digishock 2.0: Machine Learning for Beginners (No Coding)

The course Digishock 2.0: Machine Learning for Beginners (No Coding) is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

The ultimate machine learning course of 2020

Course description

Digishock 2.0: Machine Learning for Beginners (No Coding)

Learn the basics of machine learning without using code
Learn to teach a machine with a camera
Use an AI platform to build AI Models and Train the datasets
Know about IBM Watson & Wipro Holmes AI technologies
Convert a web application/software to an app in less than a minute

Digishock 1.0 course from Udemy is a must in order to understand the tools better.
No other experience or technical knowledge is necessary.

43 mins on-demand video
1 article
Full lifetime access
Access on mobile and TV
Certificate of Completion
Srinidhi Ranganathan

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Prerequisites & Facts

Digishock 2.0: Machine Learning for Beginners (No Coding)

Course Topic

Business, Data Analytics, Decision Making

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Digishock 2.0: Machine Learning for Beginners (No Coding)

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udemy

Digishock 2.0: Machine Learning for Beginners (No Coding)

provided by Udemy

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School: Udemy

Topic: Data Science, Development, Machine Learning

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