Get yourself trained on Neural Networks in with this Online Training Neural Networks in R.
Online Training Neural Networks in R
Interested in the fields of Neural Networks, Predictive Analytics, and Machine Learning?Then this course is for you!This course is designed by a university professor to help students quickly get up to speed with cutting-edge Neural Networks and apply them to real-world datasetsThe course is a step-by-step guide through the world of Neural Networks, starting with basic R programming. With each module you will develop new skills and improve your understanding of this challenging sub-field of Data Science.This course isa fun and exciting immersion into Neural Networks, Predictive Analytics, and Machine Learning. It is structured the following way:Module 1 Introduction to R (installation, packages, syntax, variables, vectors, matrices, arrays and data frames)Module 2 Introduction to Neural Networks (learn how linear and logistic regression are special cases of neural nets)Module 3 Feed-forward Neural Network (apply networks to MNIST data; use regularization, dropout, and hyperparameters, develop autoencoders and apply to fraud detection)Module 4 Convolutional Neural Networks (develop a variety of architectures, use transfer learning of pre-trained deep learning models for image recognition)Module 5 Recurrent Neural Networks (develop more architectures, Long Short-Term Memory, and apply to natural language processing)The course is packed with practical exercises based on real-lifeapplications. You will get extensive hands-on practice building your own models. The course includes accompanying Rscripts which you will use on your own projects.
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
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