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Book The Book of R

    Book Details:
  • Author : Tilman M. Davies
  • Publisher : No Starch Press
  • Release : 2016-07-16
  • ISBN : 1593276516
  • Pages : 833 pages

Download or read book The Book of R written by Tilman M. Davies and published by No Starch Press. This book was released on 2016-07-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

Book Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks

Download or read book Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks written by Raj, Alex Noel Joseph and published by IGI Global. This book was released on 2022-06-24 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting results. Machine Learning and deep learning frameworks, with developed mathematical and computational tools, facilitate the investigators to provide reliable results. Further study on the potential uses of these technologies is required to better understand their benefits. Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks provides an outline of deep learning and machine learning frameworks and methods for use in forensic science to produce accurate and reliable results to aid investigation processes. The book also considers the challenges, developments, advancements, and emerging approaches of deep learning and machine learning. Covering key topics such as biometrics, augmented reality, and fraud investigation, this reference work is crucial for forensic scientists, law enforcement, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.

Book Computational Intelligence in Data Mining   Volume 2

Download or read book Computational Intelligence in Data Mining Volume 2 written by Lakhmi C. Jain and published by Springer. This book was released on 2014-12-10 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributed volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.

Book School  Family  and Community Partnerships

Download or read book School Family and Community Partnerships written by Joyce L. Epstein and published by Corwin Press. This book was released on 2018-07-19 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Strengthen programs of family and community engagement to promote equity and increase student success! When schools, families, and communities collaborate and share responsibility for students′ education, more students succeed in school. Based on 30 years of research and fieldwork, the fourth edition of the bestseller School, Family, and Community Partnerships: Your Handbook for Action, presents tools and guidelines to help develop more effective and more equitable programs of family and community engagement. Written by a team of well-known experts, it provides a theory and framework of six types of involvement for action; up-to-date research on school, family, and community collaboration; and new materials for professional development and on-going technical assistance. Readers also will find: Examples of best practices on the six types of involvement from preschools, and elementary, middle, and high schools Checklists, templates, and evaluations to plan goal-linked partnership programs and assess progress CD-ROM with slides and notes for two presentations: A new awareness session to orient colleagues on the major components of a research-based partnership program, and a full One-Day Team Training Workshop to prepare school teams to develop their partnership programs. As a foundational text, this handbook demonstrates a proven approach to implement and sustain inclusive, goal-linked programs of partnership. It shows how a good partnership program is an essential component of good school organization and school improvement for student success. This book will help every district and all schools strengthen and continually improve their programs of family and community engagement.

Book The Economist

Download or read book The Economist written by and published by . This book was released on 1870 with total page 1294 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book COVID 19  Integrating Artificial Intelligence  Data Science  Mathematics  Medicine and Public Health  Epidemiology  Neuroscience  Neurorobotics  and Biomedical Science in Pandemic Management  volume II

Download or read book COVID 19 Integrating Artificial Intelligence Data Science Mathematics Medicine and Public Health Epidemiology Neuroscience Neurorobotics and Biomedical Science in Pandemic Management volume II written by Atefeh Abedini and published by Frontiers Media SA. This book was released on 2024-02-29 with total page 1002 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Statistical Regression and Classification

Download or read book Statistical Regression and Classification written by Norman Matloff and published by CRC Press. This book was released on 2017-09-19 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, presenting a contemporary treatment in line with today's applications and users. The text takes a modern look at regression: * A thorough treatment of classical linear and generalized linear models, supplemented with introductory material on machine learning methods. * Since classification is the focus of many contemporary applications, the book covers this topic in detail, especially the multiclass case. * In view of the voluminous nature of many modern datasets, there is a chapter on Big Data. * Has special Mathematical and Computational Complements sections at ends of chapters, and exercises are partitioned into Data, Math and Complements problems. * Instructors can tailor coverage for specific audiences such as majors in Statistics, Computer Science, or Economics. * More than 75 examples using real data. The book treats classical regression methods in an innovative, contemporary manner. Though some statistical learning methods are introduced, the primary methodology used is linear and generalized linear parametric models, covering both the Description and Prediction goals of regression methods. The author is just as interested in Description applications of regression, such as measuring the gender wage gap in Silicon Valley, as in forecasting tomorrow's demand for bike rentals. An entire chapter is devoted to measuring such effects, including discussion of Simpson's Paradox, multiple inference, and causation issues. Similarly, there is an entire chapter of parametric model fit, making use of both residual analysis and assessment via nonparametric analysis. Norman Matloff is a professor of computer science at the University of California, Davis, and was a founder of the Statistics Department at that institution. His current research focus is on recommender systems, and applications of regression methods to small area estimation and bias reduction in observational studies. He is on the editorial boards of the Journal of Statistical Computation and the R Journal. An award-winning teacher, he is the author of The Art of R Programming and Parallel Computation in Data Science: With Examples in R, C++ and CUDA.

Book The Compehensive Pocket Bible     With Explanatory Notes   c  by D  Davidson

Download or read book The Compehensive Pocket Bible With Explanatory Notes c by D Davidson written by and published by . This book was released on 1842 with total page 918 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Comprehensive Pocket Bible     With Explanatory Notes  c  By David Davidson

Download or read book The Comprehensive Pocket Bible With Explanatory Notes c By David Davidson written by and published by . This book was released on 1848 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Book of Proof

    Book Details:
  • Author : Richard H. Hammack
  • Publisher :
  • Release : 2016-01-01
  • ISBN : 9780989472111
  • Pages : 314 pages

Download or read book Book of Proof written by Richard H. Hammack and published by . This book was released on 2016-01-01 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to the language and standard proof methods of mathematics. It is a bridge from the computational courses (such as calculus or differential equations) that students typically encounter in their first year of college to a more abstract outlook. It lays a foundation for more theoretical courses such as topology, analysis and abstract algebra. Although it may be more meaningful to the student who has had some calculus, there is really no prerequisite other than a measure of mathematical maturity.

Book Resources in Education

Download or read book Resources in Education written by and published by . This book was released on 1989-05 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Astronomical Applications of Vedic Mathematics

Download or read book Astronomical Applications of Vedic Mathematics written by Kenneth Williams and published by . This book was released on 2003 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book AI and Learning Systems

Download or read book AI and Learning Systems written by Konstantinos Kyprianidis and published by BoD – Books on Demand. This book was released on 2021-02-17 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information provided in this work. The book is organized into two main sections comprising 12 chapters overall: •Digital Platforms and Learning Systems •Industrial Applications of AI

Book The Split Mind

    Book Details:
  • Author : Kevin Lee
  • Publisher : Nottingham University Press
  • Release : 2011-02-01
  • ISBN : 1907284745
  • Pages : 355 pages

Download or read book The Split Mind written by Kevin Lee and published by Nottingham University Press. This book was released on 2011-02-01 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: A reference book and memoir hybrid, this enlightening account provides a general understanding of Schizophrenia and offers a new perspective on mental illness. Addressing social problems such as suicidal behavior, societal stigma, and the right to refuse medical treatment, this guide demonstrates that patients have common personal struggles. A firsthand account of the disease, this record also encourages political and social policymakers to provide more efficient modes of health care.

Book Forecasting  principles and practice

Download or read book Forecasting principles and practice written by Rob J Hyndman and published by OTexts. This book was released on 2018-05-08 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.

Book The Future of Air Power in the Aftermath of the Gulf War

Download or read book The Future of Air Power in the Aftermath of the Gulf War written by Robert L. Pfaltzgraff and published by DIANE Publishing. This book was released on 1992 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of essays reflects the proceedings of a 1991 conference on "The United States Air Force: Aerospace Challenges and Missions in the 1990s," sponsored by the USAF and Tufts University. The 20 contributors comment on the pivotal role of airpower in the war with Iraq and address issues and choices facing the USAF, such as the factors that are reshaping strategies and missions, the future role and structure of airpower as an element of US power projection, and the aerospace industry's views on what the Air Force of the future will set as its acquisition priorities and strategies. The authors agree that aerospace forces will be an essential and formidable tool in US security policies into the next century. The contributors include academics, high-level military leaders, government officials, journalists, and top executives from aerospace and defense contractors.

Book Introduction to Machine Learning

Download or read book Introduction to Machine Learning written by Ethem Alpaydin and published by MIT Press. This book was released on 2014-08-22 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.