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Solve real-world data problems with R and machine learning. Key Features. Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyond ; Harness the power of R to build flexible, effective, and transparent machine learning models
"Machine Learning with R" is a practical tutorial that uses hands-on examples to step through real-world application of machine learning. Without shying away from the technical details, we will explore Machine Learning with R using clear and practical examples. Well-suited to machine learning beginners or those with experience. Explore R to find the answer to all of your questions.
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Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know ...
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Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial learning algorithms build a mathematical model based on sample data, known as "training data", in order to make ...
Mastering Predictive Analytics with R - Second Edition: Machine learning techniques for advanced models (English Edition) eBook: James D. Miller, Rui Miguel Forte: Kindle Store
Predictive analytics (aka machine learning) unleashes the power of data. With this technology , the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.
Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, and Machine Learning for Beginners; Part one of this book will cover topics such as: What Data Science is; What it takes to become an expert in Data Science; Best Data Mining techniques to ...
Level 1 also teaches programming essentials with Hadoop and provides an introduction to in-memory statistics. In Level 2, The SAS Certified Advanced Analytics Professional, students learn a variety of machine learning and predictive modeling techniques as well as how to apply the techniques to big distributed and in-memory data sets. Students ...
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Azure Machine Learning features a pallets of modules to build a predictive model, including state of the art ML algorithms such as Scalable boosted decision trees, Bayesian Recommendation systems, Deep Neural Networks and Decision Jungles developed at Microsoft Research. This video walks through steps to building, scoring and evaluating a ...