95% off Introduction to Machine Learning in R (Coupon)

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Introduction to Machine Learning in R - Udemy Coupon

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Coupon & course info

Course Name: Introduction to Machine Learning in R

Subtitle: Learn how to use modern machine learning techniques to all kinds of realistic problems

Instructor: Taught by Holczer Balazs, Software Engineer

Category: IT & Software

Subcategory: Other

Provided by: Udemy

Price: $60 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of March 15, 2016…

Students: 31310 students enrolled

Ratings: 12 reviews

Rank: ranked #485 in Udemy IT & Software Courses

Brief course description

This course is about the fundamental concepts of machine learning, facusing on neural networks. This topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example. We may construct algorithms that can have a very very good guess about stock prices movement in the market.

In the first chapter we are going to talk about the basics of the R programming language. Later, we will talk about neural networks in the main, and the theory behind it. The last chapter is about the concrete examples of neural networks.

(Read more about this course on the official course page.)

Holczer Balazs bio


(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 60 lessons

Duration: 5.5 Hours of video

What you get: Understand the basics of neural networks

Target audience: This course is mean for newbies who are familiar with R and looking for some advanced topics. No prior programming knowledge is needed.

Requirements: No prior programming knowledge is needed

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons