Doing a Literature Review: Releasing the Social Science Research Imagination


Chris Hart - 1998
    The ultimate guide to the ‘what’, ‘how’ and ‘why’ of literature reviewing, the second edition of the classic text shows how the literature review will unlock the full potential of one's research with:A thorough exploration of the literature review process from start to finishTwo brand new chapters explaining the different types of review and evidence and evaluationExtended examples that show you how to apply key techniques and proceduresA new ‘core skills’ framework to help you turn your research experience into employabilityA critical thinking focus that will help you construct convincing arguments and improve your research decisions In combining a critical, philosophical approach with an expertly selected body of practical examples, the Second Edition of Chris Hart's landmark text provides both the intellectual understanding and the technical skills required to produce sophisticated, robust literature reviews of the very highest standard.

Hands-On Machine Learning with Scikit-Learn and TensorFlow


Aurélien Géron - 2017
    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

Reason & Rigor: How Conceptual Frameworks Guide Research


Sharon M. Ravitch - 2011
    Defined as an argument about why the topic of a study matters, and why the methods proposed to study it are appropriate and rigorous, the book explores the conceptual framework as both a process and a framework that helps to direct and ground researchers as they work through common research challenges.

Experimental and Quasi-Experimental Designs for Generalized Causal Inference


William R. Shadish - 2001
    The book covers four major topics in field experimentation:

Discovering Statistics Using SPSS (Introducing Statistical Methods)


Andy Field - 2000
    What's new in the Second Edition? 1. Fully compliant with the latest version of SPSS version 12 2. More coverage of advanced statistics including completely new coverage of non-parametric statistics. The book is 50 per cent longer than the First Edition. 3. Each section of each chapter now has a notation - 1,2 or 3 - referring to the intended level of study. This helps students navigate their way through the book and makes it user-friendly for students of ALL levels. 4. Has a 'how to use this book' section at the start of the text. 5. Characters in each chapter have defined roles - summarizing key points, to pose questions etc 6. Each chapter now has several examples for students to work through. Answers provided on the enclosed CD-ROM

Research Methods in Language Learning


David Nunan - 1992
    This book is intended to help readers understand and critique research in language learning. It presents a balanced and objective view of a range of methods - including formal experiments, introspective methods, interaction and transcript analysis, ethnography, and case studies. The book is highly accessible and does not assume specialist or technical knowledge. This volume will be of interest to students of applied linguistics and educational researchers, in addition to classroom teachers and teachers-in-training. Throughout the book, theoretical issues are drawn from published studies and reports. The book emphasizes the professional and practical value of reading published research.

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics


Paul Teetor - 2011
    The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform other basic functionsInput and output dataTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals, and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your dataWonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language--one practical example at a time.--Jeffrey Ryan, software consultant and R package author

Brahmastra Chronicles : BOOK 1: The Artifact


Kumar Aditya - 2019
     An ancient war, older than humankind, is about to spill out of the shadows into broad daylight...And the fate of the entire creation of Oorja--the Primordial Light--rests upon two complete strangers from different worlds: Abhay Rajvardhan, a seemingly ordinary young man will discover his dead father’s secrets and his connection to a clandestine army dating back to the ages long before the epic battle of the Mahabharata. Abhay’s interaction with a magical artifact--a Chakra forged from an unknown but sentient metal--triggers an unforeseen event whose ripples are felt light-years away. As her kindred prepare to go after the Artifact on Prithvi, Dhwani, a 600-year-old Angiri warrior will find herself chasing an unknown mole hiding in their midst and working alongside the Enemy. To protect the divine artifact of the gods--the Ultimate Weapon--the two will embark upon a quest fraught with nameless perils, fighting the demonic forces of Andhakar that are bent upon destroying them. The lines between myth and reality will blur, a forgotten history will shape a new reality. The Three will unite as One to unleash the Destroyer of Worlds: the Brahmāstra, the weapon to end all weapons--and the world as we know it."

Climate Change Reality Check: Basic Facts that Quickly Prove the Climate Change Crusade is Wrong and Dangerous


Calvin Fray - 2016
    Just the right amount of science. Common sense and rational.” -- Wayne R. The greenhouse effect is always quoted—but that is a METAPHOR. What is the fundamental physical process that drives it? And how exactly does human activity play such a powerful role with it? How did we go from worrying about global warming to climate change…to carbon dioxide (CO2) emissions? "Great book - should me mandatory reading for anyone that uses the term 'Climate Change' " - Amazon purchaser Macsugar Are there gases more powerful and influential in the greenhouse effect than CO2? Yes, by a lot! As you will learn in this book… Why aren’t we spending more time, money, and attention focusing on those? Smart people want to get to the point of a problem and solve it as quickly, inexpensively, and effortlessly as possible. They know about the Pareto Principle, and you will too after you read this book. It is also called the 80/20 rule. What happens when we apply that principle to the global climate change “consensus”? “Thank You! I always thought the numbers were small, but I never took the time to do the math.” -- Mike S. There are many books that are long, technical, and—frankly, irrelevant—on the topic of climate change. Here are the most important questions that nobody has bothered to answer in straightforward, simple and short language, until now: * What are basic facts about our planet’s atmosphere? And what do they tell us about the fundamental physics of climate change? * What are the basic physics and assumptions behind the anthropogenic global warming (AGW) hypothesis or belief? Are they valid? * What element or compound is the single greatest factor in temperature control in our atmosphere? Hint—it isn’t carbon dioxide. How does carbon dioxide compare with this other chemical? "Takes less than an hour to read... A must-read for every official policy-maker at every level... This deserves 6 stars out of 5!" -- Terry Dunleavy (Amazon reviewer) “Brilliant, what a refreshing approach.” -- Christopher K. Before we spend more time, money, and emotional energy on the presumed EFFECTS and CONSEQUENCES of global warming and climate change (things like rising temperatures, rising sea levels, etc., etc.), shouldn’t we all have a BASIC UNDERSTANDING of the FUNDAMENTAL PROCESSES AND PHYSICS of our planet’s atmosphere? If you have any questions, or doubts about that, this book is for you. “Very good. I am a geophysicist.” -- Ben B. Even better, you’ll learn (or re-learn) a very simple and indisputable fact about our atmosphere that makes the entire controversy look ridiculous. Use this information as a test (or a bet) the next time you talk with someone on the “other side” of the climate change debate. “A very useful contribution to bringing sanity and reason back to the analysis of AGW.” – Tom P. The climate change threat is consuming more of our precious time, energy, and resources. So is the debate about what to do about it. Don’t allow yourself be a part of the problem—get this book so that you can be a part of the solution! If you are convinced that AGW is the biggest threat facing our planet, this book has facts and

Writing Science: How to Write Papers That Get Cited and Proposals That Get Funded


Joshua Schimel - 2011
    Success isn't defined by getting papers into print, but by getting them into the reader's consciousness. Writing Science is built upon the idea that successful science writing tells a story.It uses that insight to discuss how to write more effectively. Integrating lessons from other genres of writing with those from the author's years of experience as author, reviewer, and editor, the book shows scientists and students how to present their research in a way that is clear and that willmaximize reader comprehension.The book takes an integrated approach, using the principles of story structure to discuss every aspect of successful science writing, from the overall structure of a paper or proposal to individual sections, paragraphs, sentences, and words. It begins by building core arguments, analyzing why somestories are engaging and memorable while others are quickly forgotten, and proceeds to the elements of story structure, showing how the structures scientists and researchers use in papers and proposals fit into classical models. The book targets the internal structure of a paper, explaining how towrite clear and professional sections, paragraphs, and sentences in a way that is clear and compelling. The ideas within a paper should flow seamlessly, drawing readers along. The final section of the book deals with special challenges, such as how to discuss research limitations and how to writefor the public.Writing Science is a much-needed guide to succeeding in modern science. Its insights and strategies will equip science students, scientists, and professionals across a wide range of scientific and technical fields with the tools needed to communicate effectively.

Hallucinations


Oliver Sacks - 2012
    Much more commonly, they are linked to sensory deprivation, intoxication, illness, or injury. People with migraines may see shimmering arcs of light or tiny, Lilliputian figures of animals and people. People with failing eyesight, paradoxically, may become immersed in a hallucinatory visual world. Hallucinations can be brought on by a simple fever or even the act of waking or falling asleep, when people have visions ranging from luminous blobs of color to beautifully detailed faces or terrifying ogres. Those who are bereaved may receive comforting “visits” from the departed. In some conditions, hallucinations can lead to religious epiphanies or even the feeling of leaving one’s own body. Humans have always sought such life-changing visions, and for thousands of years have used hallucinogenic compounds to achieve them. As a young doctor in California in the 1960s, Oliver Sacks had both a personal and a professional interest in psychedelics. These, along with his early migraine experiences, launched a lifelong investigation into the varieties of hallucinatory experience. Here, with his usual elegance, curiosity, and compassion, Dr. Sacks weaves together stories of his patients and of his own mind-altering experiences to illuminate what hallucinations tell us about the organization and structure of our brains, how they have influenced every culture’s folklore and art, and why the potential for hallucination is present in us all, a vital part of the human condition.

Pattern Recognition and Machine Learning


Christopher M. Bishop - 2006
    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Research Methodology: Methods and Techniques


C.R. Kothari - 1985
    Research Methodology Book

Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS


John K. Kruschke - 2010
    Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884            0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke

The Tell-Tale Brain: A Neuroscientist's Quest for What Makes Us Human


V.S. Ramachandran - 2011
    S. Ramachandran is at the forefront of his field-so much so that Richard Dawkins dubbed him the "Marco Polo of neuroscience." Now, in a major new work, Ramachandran sets his sights on the mystery of human uniqueness. Taking us to the frontiers of neurology, he reveals what baffling and extreme case studies can teach us about normal brain function and how it evolved. Synesthesia becomes a window into the brain mechanisms that make some of us more creative than others. And autism--for which Ramachandran opens a new direction for treatment--gives us a glimpse of the aspect of being human that we understand least: self-awareness. Ramachandran tackles the most exciting and controversial topics in neurology with a storyteller's eye for compelling case studies and a researcher's flair for new approaches to age-old questions. Tracing the strange links between neurology and behavior, this book unveils a wealth of clues into the deepest mysteries of the human brain.