Practical Machine Learning in R

Description: Home About Us Postage & Payment Returns Contact Add The Pom Shop to your Favorites and receive our email newsletters about new items and special promotions. General Interest Practical Machine Learning in R Product DescriptionGuides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming languageMachine learninga branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit instructionsallows 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 reductionCovers unsupervised learning, where readers identify and summarize patterns using approaches such as apriori, eclat and clusteringDescribes the principles behind the Nearest Neighbor, Decision Tree and Naive Bayes classification techniquesExplains how to evaluate and choose the right model, as well as how to improve model performance using ensemble methods such as Random Forest and XGBoostPractical 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.From the Inside FlapINTRODUCING MACHINE LEARNING THROUGH THE INTUITIVE R PROGRAMMING LANGUAGE Machine learning and data analytics have emerged as important avenues of value creation. Through machine learning, you can discover hidden patterns in data, leading to new ideas and understandings that might remain unknown without this powerful technique. Practical Machine Learning in R offers a hands-on introduction to working with large datasets using the R programming language, which is simple to understand and was built specifically for statistical analysis. Even if you have no prior coding experience, this book will show you how data scientists put machine learning into practice to generate business insights, solid predictions, and better decisions. Unlike other books on the topic, Practical Machine Learning in R provides both a conceptual and technical introduction to machine learning. Examples and exercises use the R programming language and the latest data analytics tools, so you can get started without getting bogged down by advanced mathematics. With this book, machine learning techniquesfrom logistic regression to association rules and clusteringare within reach. The only book to integrate an intuitive introduction to machine learning with step-by-step technical applications, Practical Machine Learning in R shows you how to: Conceptualize the different types of machine learningDiscover patterns that exist within large datasetsBegin writing and executing R scripts with RStudioUse R with Tidyverse to manage and visualize dataApply core statistical techniques like logistic regression and Nave BayesEvaluate and improve upon machine learning modelsFrom the Back CoverINTRODUCING MACHINE LEARNING THROUGH THE INTUITIVE R PROGRAMMING LANGUAGE Machine learning and data analytics have emerged as important avenues of value creation. Through machine learning, you can discover hidden patterns in data, leading to new ideas and understandings that might remain unknown without Shipping Shipping is free for all customers in Australia. Your package will be safely taken care of & posted from England by means of Priority Airmail, which is air freighted to your nearest Australia Post Distribution Center (Sydney, Melbourne, Brisbane, or Perth), from where they are delivered to your address by Australia Post. Returns and refunds We operate a 30 day money back guarantee. If you are unhappy with the product for whatever reason, please contact us to arrange a return and refund. As shipping costs are not retrievable, we are unable to refund shipping costs. Feedback We use an automated eBay feedback response system. If you are happy with the product, please leave positive feedback and we will automatically leave positive feedback for you. If you are unhappy with the transaction for any reason, please contact us first to resolve. If you do leave negative or neutral feedback you waive your rights for support regarding any problems with us and open yourself up for possible retaliatory negative feedback. 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Price: 79.45 AUD

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End Time: 2024-11-16T23:19:43.000Z

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