Quick Guide To Ibm R Spss R
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Learn By Examples: A Quick Guide to Data Mining with RapidMiner and Weka
This book aim to equip the reader with RaidMiner and Weka and Data Mining basics. There will be many examples and explanations that are straight to the point. You will be walked through data mining process from data preparation to data analysis (descriptive statistics) and data visualization to prediction modeling (machine learning) using Weka and RapidMiner. Content Covered: - Introduction (What is data science, what is data mining, CRISP DM Model, what is text mining, three types of analytics, big data) - Getting Started (INstall Weka and RapidMiner) - Prediction and Classification (Prediction and Classification) - Machine Learning Basics (Kmeans Clustering, Decision Tree, Naive Bayes, KNN, Neural Network) - Data Mining with Weka (Data Understanding using Weka, Data Preparation using Weka, Model Building and Evaluation using Weka) - Data Mining with RapidMiner (Data Understanding using RapidMiner, Data Preparation using RapidMiner, Model Building and Evaluation using RapidMiner) - Conclusion We will be using opensource tools, hence, you don't have to worry about buying any softwares. The book is designed for non-programmers only. It will gives you a head start into Weka and RapidMiner, with a touch on data mining. This book has been taught at Udemy and EMHAcademy.com. Use the following Coupon to get the Udemy Course at $11.99: https://www.udemy.com/data-mining-with-rapidminer/?couponCode=EBOOKSPECIAL https://www.udemy.com/learn-machine-learning-with-weka/?couponCode=EBOOKSPECIAL
Research Methods in Clinical Linguistics and Phonetics
Research Methods in Clinical Linguistics and Phonetics GUIDES TO RESEARCH METHODS IN LANGUAGE AND LINGUISTICS “Up to date and covering a refreshingly wide range of approaches, this is a first-rate guide and resource for both practitioners and consumers of research in clinical linguistics and phonetics.” Mick Perkins, University of Sheffield “This truly outstanding collection of readings, treating a number of critical issues with great clarity, is certain to be quickly recognized as a valuable resource by the community of researchers.” Martin R. Gitterman, The City University of New York Research Methods in Clinical Linguistics and Phonetics introduces a wide range of research philosophies, methods, and tools used across linguistics, phonetics, and speech science, as applied to disordered speech and language. Comprised of sixteen chapters, each authored by specialists representing a variety of approaches, the volume addresses core topics for students `undertaking their own research, including: experimental and quasi-experimental methods qualitative methods, including ethnography and conversation analysis sociolinguistics corpus construction and analysis data recording, transcription, and digital analysis of speech In addition to exploring these and other topics, the volume considers the research ethics associated with working with those who have speech or other communication difficulties. There is a detailed discussion of the dissemination of research results in the form of theses, dissertations, and journal articles, and of the peer review process. Chapters include summary boxes to highlight salient information, and resources for researchers such as relevant web archives and tools. It offers students and researchers from a variety of entry points – such as linguistics, education, psychology, and speech pathology – an introduction to the scope of research in clinical linguistics and phonetics, and a practical guide to this interdisciplinary field.
Illustrating Statistical Procedures: Finding Meaning in Quantitative Data
This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.