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...is a collective term for characteristics that the two institutions share.
·-- PUBLISHED -----·> Packt Publishing
·-- LECTURESHIP ---·> Learning Path: R: Complete Machine Learning
and Deep Learning Solutions
·-- LECTURE DATE --·> 05-2017
04-2017 {Published}
·-- LEVEL ---------·> [ ] Starting {Beginner|Newcomer}
[■] Progressing {Intermediate|Advanced}
·-- PERIOD in HRS--·> 17+
·-- SCALE ---------·> 94x50mb
·-- LECTURE LINK --·> https://goo.gl/Ew0nVa
This path navigates across the following products
(in sequential order):
Mastering R Programming (5h 12m)
R Machine Learning Solutions (8h 20m)
Deep Learning with R (4h 4m)
R is one of the leading technologies in the field of data science. Are
you looking at gaining in-depth knowledge of machine learning and deep
learning? If yes, then this Learning Path is for you. Starting out at a
basic level, this Learning Path will teach you how to develop and
implement machine learning and deep learning algorithms using R in
real-world scenarios.
The Learning Path begins with covering some basic concepts of R to
refresh your R knowledge before we deep dive into advanced techniques.
You will start with setting up the environment and then perform data ETL
in R. You will then learn important machine learning topics, including
data classification, regression, clustering, association rule mining,
and dimensionality reduction. Next, you will understand the basics of
deep learning and artificial neural networks and move on to exploring
topics such as ANNs, RNNs, and CNNs. Finally, you will learn about the
applications of deep learning in various fields and understand the
practical implementations of scalability, HPC and feature engineering.
By the end of the Learning Path, you will have a solid knowledge of all
these algorithms and techniques and be able to implement it efficiently
in your data science projects.