Advanced Neural Networks in R - A Practical Approach

[Prohibitive]

Duration: 3h 10m | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | Size: 1.55 GB
Genre: eLearning | Language: English

Boost your data science skills - learn to build and train complex neural netwk using the R program

What you'll learn
Create multilayer perceptrons and use them f predictions
Build and train probabilistic neural netwks
Build and train generalized regression neural netwks
Build and train recurrent neural netwks
Use recurrent neural netwks f time series fecasting

Requirements
Knowledge of R programming
Some knowledge of data analysis with R

Description
Neural netwks are powerful predictive tools that can be used f almost any machine learning problem with very good results. If you want to break into deep learning and artificial intelligence, learning neural netwks is the first crucial step.

This is why I'm inviting you to an exciting journey through the wld of complex, state-of-the-art neural netwks. In this course you will develop a strong understanding of the most utilized neural netwks, suitable f both classification and regression problems.

The mathematics behind neural netwks is particularly complex, but you don't need to be a mathematician to take this course and fully benefit from it. We will not dive into complicated maths - our emphasis here is on practice. You will learn how to operate neural netwks using the R program, how to build and train models and how to make predictions on new data.

All the procedures are explained live, on real life data sets. So you will advance fast and be able to apply your knowledge immediately.

This course contains four comprehensive sections.

1. Multilayer Perceptrons - Beyond the Basics

Learn to use multilayer perceptrons to make predictions f both categical and continuous variables. Meover, learn how to test your models accuracy using the k-fold cross-validation technique and how improve predictions by manipulating various parameters of the netwk.

2. Probabilistic Neural Netwks

These netwks are primarily used f classification problems, so we'll learn how to predict a bank's customers default with their help. Next, we'll see how to look f optimal values of the smoothing parameter in der to make me accurate predictions.

3. Generalized Regression Neural Netwks

If you have to solve a regression problem (where your response variable is numeric), these netwks can be very effective. We'll show how to predict a car value based on its technical characteristics and how to improve the prediction by controlling the smoothing parameter of our model. The k-fold cross-validation techniques will also be employed to identify better models.

4. Recurrent Neural Netwks

These netwks are useful f many prediction problems, but they are particularly valuable f time series modelling and fecasting. In this course we focus on two types of recurrent neural netwks: Elman and Jdan. We are going to use them to predict future air temperatures based on histical data. Making truthful predictions on time series is generally very tough, but we will do our best to build good quality models and get satisfacty values f the prediction accuracy metrics.

F each type of netwk, the presentation is structured as follows:

a sht, easy to understand theetical introduction (without complex mathematics)

how to train the netwk in R

how to test the netwk to make sure that it does a good prediction job on independent data sets.

F every neural netwk, a number of practical exercises are proposed. By doing these exercises you'll actually apply in practice what you have learned.

This course is your opptunity to become a neural netwk expert in a few days only (literally). With my video lectures, you will find it very easy to master these maj neural netwk and build them in R. Everything is shown live, step by step, so you can replicate any procedure at any time you need it.

See you inside!

Who this course is f:
R programmers who want to learn data science
Students who want to learn data analysis and science in R

I recommends Buy premimum account f High speed+parallel downloads!

Rapidgat

https://rapidgator.net/file/3f0515847da61881068fdf48661f120a/Advanced_Neural_Netwks_in_R_-_A_Practical_Approach.part1.rar.html
https://rapidgator.net/file/a447e01fdf7885bc812af0ca61baf6bb/Advanced_Neural_Netwks_in_R_-_A_Practical_Approach.part2.rar.html

Nitroflare

https://nitro.download/view/CC50EF1273F60A5/Advanced_Neural_Netwks_in_R_-_A_Practical_Approach.part1.rar
https://nitro.download/view/0B6181DA7FFBF04/Advanced_Neural_Netwks_in_R_-_A_Practical_Approach.part2.rar