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.