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Advanced Machine Learning with R [Video]
Advanced Machine Learning with R [Video]

Advanced Machine Learning with R: Explore the advanced topics in machine learning with R [Video]

By Tim Hoolihan
$15.99 per month
Video Aug 2017 1 hours 32 minutes 1st Edition
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$130.99
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$130.99
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Product Details


Publication date : Aug 31, 2017
Length 1 hours 32 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781788291491
Category :
Languages :

Key benefits

  • Dive into the advanced algorithms such as hyper-parameter tuning and deep learning, and putting your models into production
  • Practical, solid, real-world examples that will help you get acquainted with the various stages of machine learning using the R language
  • Explore important machine learning concepts such as neural network, hyper parameter, unsupervised learning

Description

Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed. It explores the study and construction of algorithms that can learn from and make predictions on data. The R language is widely used among statisticians and data miners to develop statistical software and data analysis. Machine Learning is a cross-functional domain that uses concepts from statistics, math, software engineering, and more. In this course, you’ll get to know the advanced techniques for Machine Learning with R, such as hyper-parameter turning, deep learning, and putting your models into production through solid, real-world examples. In the first example, you’ll learn all about neural networks through an example of DNA classification data. You’ll explore networks, implement them, and classify them. After that, you’ll see how to tune hyper-parameters using a data set of sonar data and you’ll get to know their properties. Next, you’ll understand unsupervised learning with an example of clustering politicians, where you’ll explore new patterns, understand unsupervised learning, and visualize and cluster the data. Moving on, we discuss some of the details of putting a model into a production system so you can use it as a part of a larger application. Finally, we’ll offer some suggestions for those who wish to practice the concepts further.

What you will learn

• Work with advanced techniques in machine learning with R • Explore advanced techniques such as hyper parameter tuning and deep learning • Work with Neural Networks (NNs) and explore, implement, and classify documents • Get to know hyper-parameter tuning by exploring and iterating through parameters • Understand unsupervised learning, clustering data, and visualizing • Know how to evaluate the performance of your models and put your model into use • Work with a variety of real-world algorithms that suit your problem

What do you get with a Packt Subscription?

Free for first 7 days. $15.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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View plans & pricing

Product Details


Publication date : Aug 31, 2017
Length 1 hours 32 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781788291491
Category :
Languages :

Table of Contents

4 Chapters
1. Sonar Data – Hyper-Parameter Tuning Chevron down icon Chevron up icon
2. Neural Network Chevron down icon Chevron up icon
3. Keras – Deep Learning on the GPU Chevron down icon Chevron up icon
4. Deploying Your Model Chevron down icon Chevron up icon

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