Minerva Singh
YOUR COMPLETE GUIDE TO ARTIFICIAL NEURAL NETWORKS & DEEP LEARNING IN R:
This course covers the main aspects of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science.
In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in R, you can give your company a competitive edge and boost your career to the next level!
LEARN FROM AN EXPERT DATA SCIENTIST:
My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University.
I have +5 years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.
Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic .
This course will give you a robust grounding in the main aspects of practical neural networks and deep learning.
Unlike other R instructors, I dig deep into the data science features of R and give you a one–of–a–kind grounding in data science…
You will go all the way from carrying out data reading & cleaning to to finally implementing powerful neural networks and deep learning algorithms and evaluating their performance using R.
Instructor Details
Courses : 17
Specification: Artificial Intelligence Bootcamp in R Programming
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11 reviews for Artificial Intelligence Bootcamp in R Programming
Add a review
| Price | $17.99 |
|---|---|
| Provider | |
| Duration | 10 hours |
| Year | 2020 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$17.99
Posey Parker –
A good mix of theory and application
Sunny Lamba –
I really enjoyed the theoretical lectures. They teach the basic ideas without the jargon
Anil Kumar Pandey –
Informative
John D Hazard –
Instructor assumes quite a bit of previous knowledge. I wouldn’t recommend to a beginner. MxNet won’t install on R 3.6.1.
Prity Polly –
Very thorough deep learning course in R
Monica Shah –
It is good to have a deep learning course that uses R
Selvia Jain –
Good mix of theory and practical AI lectures
sushma Pandey –
Informative and excellent
Susan Tang –
This is most detailed AI course I seen
Bryan Butler –
Overall, this was a very good course to cover a wide variety of deep learning frameworks in R including MXNet, H2o, and Keras across a variety of different uses cases. The structure is set so that there is a limited amount of theory (which I covered in previous python courses), and more code work which gets into the nuts and bolts of how to actually use these frameworks in R. My version of R (3.6.1) was newer than the one available for MXNet so I skipped those sections; in my work H2o and Keras are far more relevant. The main models focused on both ‘toy’ data like MNist and some real world data. With some of the Keras models at the end, it would have been great to take it one step further beyond the model accuracy and loss and show the final use especially in the text/fraud case.
Infine –
theoretical material is brilliant! but practical stuff is not well explained