What you'll discover

• Know how to utilise R's power for real-world data science

• Read In Data From Various Sources Into The R

• Environment And Perform Simple Pre-processing Tasks

• Understand artificial neural network theory (ANN)

• Use ANN in R to solve classification and regression problems

• Use R to implement deep learning

• Acquire Knowledge Of The Effective Water Package's Use

• Study the R programming language's H2o package to implement both ANN and DNN.
  

DEEP LEARNING IN R, YOUR ENTIRE GUIDE TO PRACTICAL NEURAL NETWORKS:

The main facets of neural networks and deep learning are covered in this course. You won't need to take any other classes or acquire any books on R-based data science if you take this course.

Companies all over the world use R to sort through the deluge of information at their disposal in this age of big data. You may offer your business a competitive edge and advance your career by becoming an expert in R's neural networks and deep learning.

LESSONS FROM A PROFESSIONAL DATA SCIENTIST:

I'm Minerva Singh, and I recently received my MPhil in geography and environment from Oxford University. My PhD at Cambridge University just ended.

I have more than five years of expertise using data science-related methodologies to analyse real-world data from various sources and publishing publications for global peer-reviewed journals.

During my investigation, I discovered that practically all books and courses on R data science don't take the topic's multidimensionality into account.

You will gain a solid foundation in the fundamentals of real-world neural networks and deep learning with this course.

I delve deeply into R's data science features in contrast to other R instructors, giving you a distinctive foundation in data science.

You will execute data reading and cleaning tasks, create potent neural networks and deep learning algorithms, and then assess their effectiveness using R.

Include the following:

1. Strong R-based deep learning packages like h2o and MXNET will be introduced to you.

2. Deep neural networks (DNN), convolution neural networks (CNN), and recurrent neural networks will be introduced to you (RNN).

3. The procedures to implement the reality-based data like credit card fraud data, tumor data, images among others for classification and regression applications will also be introduced to you.

You will possess the keys to the R Neural Networks and Deep Learning Kingdom after completing this course!

NO BACKGROUNG KNOWLEDGE OF R OR STATISTICS OR MACHINES FOR LEARNING IS EXPECTED:

You'll begin by learning the most important R Data Science fundamentals and methods. Even the trickiest R concepts are simplified and addressed by me using practical, simple-to-understand ways.

Your implementation of the approaches utilizing actual data gathered from various sources will be assisted by my course. Many courses employ fictitious data, which prevents students from applying R-based data science in the actual world.

After completing this course, you'll be able to deal with actual data in R with ease using data science tools like caret, h2o, and mxnet.

You'll even comprehend the fundamental ideas behind which algorithms and techniques are most appropriate for your data.

You can enjoy the accessibility to the codes & data we used to learn & the data we will use to learn is based on real-life matters.

Student Feedback & Reviews

Frequently Asked Questions (FAQs)

How do I access the course?

All you need is a modern browser such as Chrome, Firefox, or Internet Explorer and you will be able to access the course from any computer, tablet, or mobile device.

Is there a specific time duration to complete this course?

Learning with Eskills Academy is super easy. No limitation on-time duration so you learn easily at your own pace and convenience.

Do I get a certificate?

Yes, when you complete the course you will receive a certificate of completion, which you can happily add to your resume or LinkedIn profile.

In what cases will I be eligible for a refund?

All Eskills Academy courses come with Teachable backed 30-day money-back guarantee. If you are not satisfied with the purchased course, refunds are applicable as per our terms mentioned on the website.

Other FAQ’s

What prior knowledge do I need to attend the teacher-led class?

At least six months of professional PC configuration and troubleshooting experience.

How can I access my course materials if I choose this method?

Upon receipt of payment, Eskills will send you an email with all the links and information you need to get started.

What content on-demand will I get?

You will have access to official CompTIA On-Demand content that is constantly updated so you can prepare for your A + exam and stay informed of any content changes during your subscription period.

What laboratories do I have access to?

Gains access to [enter number] preconfigured A + curriculum labs.

How many practice tests are included?

 4A + accredited practice exams are included.

How do I plan my teacher-led training?

As soon as payment has been received, you will receive the details of your training package with unlimited access by email. At this point, you can call or email our customer service team to help you register for the event date you have chosen.