Digishock 2.0: Machine Learning for Beginners (No Coding)

Online Course

Udemy
Digishock 2.0: Machine Learning for Beginners (No Coding)

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

Prerequisites & Facts

Digishock 2.0: Machine Learning for Beginners (No Coding)

Course Topic

Data Science, Development, Machine Learning

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

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

Degree

Certificate

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