Book Image

Applied Supervised Learning with R

By : Karthik Ramasubramanian, Jojo Moolayil
Book Image

Applied Supervised Learning with R

By: Karthik Ramasubramanian, Jojo Moolayil

Overview of this book

R provides excellent visualization features that are essential for exploring data before using it in automated learning. Applied Supervised Learning with R helps you cover the complete process of employing R to develop applications using supervised machine learning algorithms for your business needs. The book starts by helping you develop your analytical thinking to create a problem statement using business inputs and domain research. You will then learn different evaluation metrics that compare various algorithms, and later progress to using these metrics to select the best algorithm for your problem. After finalizing the algorithm you want to use, you will study the hyperparameter optimization technique to fine-tune your set of optimal parameters. The book demonstrates how you can add different regularization terms to avoid overfitting your model. By the end of this book, you will have gained the advanced skills you need for modeling a supervised machine learning algorithm that precisely fulfills your business needs.
Table of Contents (12 chapters)
Applied Supervised Learning with R
Preface

What is an API?


Before delving into the specifics of model deployment, we need to study an important software engineering topic that simplifies the entire process of model deployment, that is, an Application Program Interface, commonly referred to as an API. An API is a set of clearly defined methods for communication between various software components. Software development has been made significantly easier with the advent of APIs. If a developer, say, wanted to develop an iPhone app that would add some filters to an image, they need not write the entire code to capture the image from the phone's camera, save it to the library, and then apply their app-specific filters to it. Instead, they can use the phone camera API, which provides an easy way to communicate with the camera and only focus on writing code that would add filters to an image. In a nutshell, an API is the means for heterogeneous software components to communicate with each other.

In a large software product, there would be...