Machine Learning Using R

✍ Scribed by Karthik Ramasubramanian;Abhishek Singh

Publisher: Apress
Tongue: English
Edition: 2nd Edition
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R.

As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning.

What You'll Learn

Understand machine learning algorithms using R

Master the process of building machine-learning models

Cover the theoretical foundations of machine-learning algorithms

See industry focused real-world use...

📜 SIMILAR VOLUMES

Machine Learning Using R

📁 Machine Learning Using R

✍ Karthik Ramasubramanian, Abhishek Singh (auth.) 📂 Library 📅 2017 🏛 Apress 🌐 English

This book is inspired by the Machine Learning Model Building Process Flow, which provides the reader the ability to understand a ML algorithm and apply the entire process of building a ML model from the raw data.This new paradigm of teaching Machine Learning will bring about a radical c

Machine Learning Analysis of QPCR Data U

📁 Machine Learning Analysis of QPCR Data Using R

✍ Luigi Marongiu 📂 Library 📅 2022 🏛 Nova Science Publishers 🌐 English

The quantitative polymerase chain reaction (qPCR) is a versatile and popular assay for quantifying nucleic acids. With the recent expansion of the number of reactions per assay, there is a need for an accurate method to report the data suitable for automation. This book will describe such a method,

Machine Learning Using R: With Time Seri

📁 Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

✍ Karthik Ramasubramanian, Abhishek Singh 📂 Library 📅 2019 🏛 Apress 🌐 English

Machine Learning Using R: With Time Seri

📁 Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

✍ Karthik Ramasubramanian, Abhishek Singh 📂 Library 📅 2018 🏛 APress 🌐 English

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow

R Machine Learning Projects: Implement s

📁 R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5

✍ Dr. Sunil Kumar Chinnamgari 📂 Library 📅 2019 🏛 Packt Publishing 🌐 English

Master a range of machine learning domains with real-world projects using TensorFlow for R, H2O, MXNet, and more <h4>Key Features</h4> <ul><li>Master machine learning, deep learning, and predictive modeling concepts in R 3.5 </li> <li>Build intelligent end-to-end projects for finance,

R Machine Learning Projects: Implement s

📁 R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5

✍ Dr. Sunil Kumar Chinnamgari 📂 Library 📅 2019 🏛 Packt Publishing 🌐 English