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Practical Machine Learning in R

Practical Machine Learning in R

Author: Fred Nwanganga

Publisher: John Wiley & Sons

ISBN: 9781119591511

Category: Computers

Page: 464

View: 257

Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language Machine learning—a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit instructions—allows organizations to reveal patterns in their data and incorporate predictive analytics into their decision-making process. Practical Machine Learning in R provides a hands-on approach to solving business problems with intelligent, self-learning computer algorithms. Bestselling author and data analytics experts Fred Nwanganga and Mike Chapple explain what machine learning is, demonstrate its organizational benefits, and provide hands-on examples created in the R programming language. A perfect guide for professional self-taught learners or students in an introductory machine learning course, this reader-friendly book illustrates the numerous real-world business uses of machine learning approaches. Clear and detailed chapters cover data wrangling, R programming with the popular RStudio tool, classification and regression techniques, performance evaluation, and more. Explores data management techniques, including data collection, exploration and dimensionality reduction Covers unsupervised learning, where readers identify and summarize patterns using approaches such as apriori, eclat and clustering Describes the principles behind the Nearest Neighbor, Decision Tree and Naive Bayes classification techniques Explains how to evaluate and choose the right model, as well as how to improve model performance using ensemble methods such as Random Forest and XGBoost Practical Machine Learning in R is a must-have guide for business analysts, data scientists, and other professionals interested in leveraging the power of AI to solve business problems, as well as students and independent learners seeking to enter the field.
Practical Machine Learning in R
Language: en
Pages: 464

Practical Machine Learning in R

Authors: Fred Nwanganga, Mike Chapple
Categories: Computers
Type: BOOK - Published: 2020-06-10 - Publisher: John Wiley & Sons

Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language Machine learning—a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit instructions—allows organizations to reveal patterns in their data and
Practical Machine Learning
Language: en
Pages: 468

Practical Machine Learning

Authors: Sunila Gollapudi
Categories: Computers
Type: BOOK - Published: 2016-01-30 - Publisher: Packt Publishing Ltd

Tackle the real-world complexities of modern machine learning with innovative, cutting-edge, techniques About This Book Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark Comprehensive practical solutions taking you into the future of machine learning Go a step further and
Practical Machine Learning with H2O
Language: en
Pages: 300

Practical Machine Learning with H2O

Authors: Darren Cook
Categories: COMPUTERS
Type: BOOK - Published: 2016-12-05 - Publisher: "O'Reilly Media, Inc."

Learn how to construct machine learning and data analysis scalable for big data using H2O software, using sample data sets and several machine-learning techniques including deep learning, random forests, unsupervised learning and ensemble learning.
Practical Machine Learning with Python
Language: en
Pages: 530

Practical Machine Learning with Python

Authors: Dipanjan Sarkar, Raghav Bali, Tushar Sharma
Categories: Computers
Type: BOOK - Published: 2017-12-20 - Publisher: Apress

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts,
Practical Machine Learning Cookbook
Language: en
Pages: 570

Practical Machine Learning Cookbook

Authors: Atul Tripathi
Categories: Computers
Type: BOOK - Published: 2017-04-14 - Publisher: Packt Publishing Ltd

Resolving and offering solutions to your machine learning problems with R About This Book Implement a wide range of algorithms and techniques for tackling complex data Improve predictions and recommendations to have better levels of accuracy Optimize performance of your machine-learning systems Who This Book Is For This book is

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