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Applied Supervised Learning with R

You're reading from Applied Supervised Learning with R Use machine learning libraries of R to build models that solve business problems and predict future trends

Product type Paperback

Published in May 2019

Publisher

ISBN-13 9781838556334

Length 502 pages

Edition 1st Edition

Languages

R

Concepts

Machine Learning

Authors (2):

Jojo Moolayil

Karthik Ramasubramanian

View More author details

Table of Contents (12) Chapters

Applied Supervised Learning with R

Preface

1. R for Advanced Analytics FREE CHAPTER

2. Exploratory Analysis of Data

3. Introduction to Supervised Learning

4. Regression

5. Classification

6. Feature Selection and Dimensionality Reduction

7. Model Improvements

8. Model Deployment

9. Capstone Project - Based on Research Papers

Appendix

Grid Search Optimization

The most naïve approach to find the optimal set of hyperparameters for a model would be to use brute-force methods and iterate with every combination of values for the hyperparameters and then find the most optimal combination. This will deliver the desired results, but not in the desired time. In most cases, the models we train will be significantly large and require heavy compute time for training. Iterating through each combination wouldn't be an ideal option. To improve upon the brute-force method, we have grid search optimization; as the name has already indicated, here, we define a grid of values that will be used for an exhaustive combination of values of hyperparameters to iterate.

In layman's terms, for grid search optimization, we define a finite set of values for each hyperparameter that we would be interested in optimizing for the model. The model is then trained for exhaustive combinations of all possible hyperparameter values and the combination with...

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Authors (2)

Karthik Ramasubramanian

Karthik Ramasubramanian

Karthik Ramasubramanian completed his M.Sc. in Theoretical Computer Science at PSG College of Technology, India, where he pioneered the application of machine learning, data mining, and fuzzy logic in his research work on computer and network security. He has over seven years' experience of leading data science and business analytics in retail, Fast-Moving Consumer Goods, e-commerce, information technology, and the hospitality industry for multinational companies and unicorn start-ups. He is a researcher and a problem solver with diverse experience of the data science life cycle, starting from data problem discovery to creating data science proof of concepts and products for various industry use cases. In his leadership roles, Karthik has been instrumental in solving many ROI-driven business problems via data science solutions. He has mentored and trained hundreds of professionals and students globally in data science through various online platforms and university engagement programs. He has also developed intelligent chatbots based on deep learning models that understand human-like interactions, customer segmentation models, recommendation systems, and many natural language processing models. He is an author of the book Machine Learning Using R, published by Apress, a publishing house of Springer Business+Science Media. The book was a big success with more than 50,000 online downloads and hardcover sales. The book was subsequently published as a second edition with extended chapters on Deep Learning and Time Series Modeling.

See other products by Karthik Ramasubramanian

Jojo Moolayil

Jojo Moolayil

Jojo Moolayil is an artiﬁcial intelligence, deep learning, machine learning, and decision science professional with over six years of industrial experience. He is the author of Learn Keras for Deep Neural Networks, published by Apress, and Smarter Decisions – The Intersection of IoT and Decision Science, published by Packt Publishing. He has worked with several industry leaders on high-impact, critical data science and machine learning projects across multiple verticals. He is currently associated with Amazon Web Services as a research scientist in Canada. Apart from writing books on AI, decision science, and the internet of things, Jojo has been a technical reviewer for various books in the same ﬁelds published by Apress and Packt Publishing.

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