Heterogeneity of Function in Numerical Cognition

Heterogeneity of Function in Numerical Cognition
Author: Avishai Henik,Wim Fias
Publsiher: Academic Press
Total Pages: 480
Release: 2018-05-17
ISBN 10: 0128115300
ISBN 13: 9780128115305
Language: EN, FR, DE, ES & NL

Heterogeneity of Function in Numerical Cognition Book Review:

Heterogeneity of Function in Numerical Cognition presents the latest updates on ongoing research and discussions regarding numerical cognition. With great individual differences in the development or function of numerical cognition at neuroanatomical, neuropsychological, behavioral, and interactional levels, these issues are important for the achievement of a comprehensive understanding of numerical cognition, hence its brain basis, development, breakdown in brain-injured individuals, and failures to master mathematical skills. These functions are essential for the proper development of numerical cognition. Provides an innovative reference on the emerging field of numerical cognition and the branches that converge on this diverse cognitive domain Includes an overview of the multiple disciplines that comprise numerical cognition Focuses on factors that influence numerical cognition, such as language, executive attention, memory and spatial processing Features an innovative organization with each section providing a general overview, developmental research, and evidence from neurocognitive studies

Heterogeneous Contributions to Numerical Cognition

Heterogeneous Contributions to Numerical Cognition
Author: Wim Fias,Avishai Henik
Publsiher: Academic Press
Total Pages: 375
Release: 2021-06-01
ISBN 10: 0128174153
ISBN 13: 9780128174159
Language: EN, FR, DE, ES & NL

Heterogeneous Contributions to Numerical Cognition Book Review:

Arithmetic disability stems from deficits in neurodevelopment, with great individual differences in development or function of an individual at neuroanatomical, neuropsychological, behavioral, and interactional levels. Heterogeneous Contributions to Numerical Cognition: Learning and Education in Mathematical Cognition examines research in mathematical education methods and their neurodevelopmental basis, focusing on the underlying neurodevelopmental features that must be taken into account when teaching and learning mathematics. Cognitive domains and functions such as executive functions, memory, attention, and language contribute to numerical cognition and are essential for its proper development. These lines of research and thinking in neuroscience are discussed in this book to further the understanding of the neurodevelopmental and cognitive basis of more complex forms of mathematics – and how to best teach them. By unravelling the basic building blocks of numerical thinking and the developmental basis of human capacity for arithmetic, this book and the discussions within are important for the achievement of a comprehensive understanding of numerical cognition, its brain basis, development, breakdown in brain-injured individuals, and failures to master mathematical skills. A novel innovative reference on the emerging field of numerical cognition and neurodevelopment underlying mathematical education Includes an overview of the multiple disciplines that comprise numerical cognition written by world-leading researchers in the numerical cognition and neurodevelopment fields Features an innovative organization with each section providing a general overview, developmental research, neurocognitive mechanisms, and discussion about relevant studies

Numerical Cognition

Numerical Cognition
Author: Andre Knops
Publsiher: Routledge
Total Pages: 180
Release: 2019-12-19
ISBN 10: 1000766454
ISBN 13: 9781000766455
Language: EN, FR, DE, ES & NL

Numerical Cognition Book Review:

Numerical Cognition: The Basics provides an understanding of the neural and cognitive mechanisms that enable us to perceive, process, and memorize numerical information. Starting from basic numerical competencies that humans share with other species, the book explores the mental coding of numbers and their neural representation. It explains the strategies of mental calculation, their pitfalls and their development, as well as the developmental steps children make while learning about numbers. The book gradually builds our understanding of the underlying mental processes of numeracy and concludes with an insightful examination of the diagnosis, etiology and treatment of dyscalculia. Written in an accessible manner, the book summarizes and critically evaluates the major psychological explanations for various empirical phenomena in numerical cognition. Containing a wealth of student-friendly features including end of chapter summaries, informative figures, further reading lists, and links to relevant websites, Numerical Cognition: The Basics is an essential starting point for anybody new to the field.

Heterogeneous Cellular Networks

Heterogeneous Cellular Networks
Author: Rose Qingyang Hu,Yi Qian
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2013-04-03
ISBN 10: 1118555317
ISBN 13: 9781118555316
Language: EN, FR, DE, ES & NL

Heterogeneous Cellular Networks Book Review:

A timely publication providing coverage of radio resourcemanagement, mobility management and standardization inheterogeneous cellular networks The topic of heterogeneous cellular networks has gained momentumin industry and the research community, attracting the attention ofstandardization bodies such as 3GPP LTE and IEEE 802.16j, whoseobjectives are looking into increasing the capacity and coverage ofthe cellular networks. This book focuses on recentprogresses, covering the related topics including scenariosof heterogeneous network deployment, interference management in theheterogeneous network deployment, carrier aggregation in aheterogeneous network, cognitive radio, cell selection/reselectionand load balancing, mobility and handover management, capacity andcoverage optimization for heterogeneous networks, trafficmanagement and congestion control. This book enables readers to better understand the technicaldetails and performance gains that are madepossible by this state-of-the-art technology. It contains theinformation necessary for researchers and engineers wishing tobuild and deploy highly efficient wireless networks themselves. Toenhance this practical understanding, the book is structured tosystematically lead the reader through a series of case-studies ofreal world scenarios. Key features: Presents this new paradigm in cellular network domain: aheterogeneous network containing network nodes with differentcharacteristics such as transmission power and RF coveragearea Provides a clear approach by containing tables, illustrations,industry case studies, tutorials and examples to cover the relatedtopics Includes new research results and state-of-the-arttechnological developments and implementation issues

The Oxford Handbook of Numerical Cognition

The Oxford Handbook of Numerical Cognition
Author: Roi Kadosh,Ann Dowker
Publsiher: OUP Oxford
Total Pages: 1144
Release: 2015-07-30
ISBN 10: 0191036005
ISBN 13: 9780191036002
Language: EN, FR, DE, ES & NL

The Oxford Handbook of Numerical Cognition Book Review:

How do we understand numbers? Do animals and babies have numerical abilities? Why do some people fail to grasp numbers, and how we can improve numerical understanding? Numbers are vital to so many areas of life: in science, economics, sports, education, and many aspects of everyday life from infancy onwards. Numerical cognition is a vibrant area that brings together scientists from different and diverse research areas (e.g., neuropsychology, cognitive psychology, developmental psychology, comparative psychology, anthropology, education, and neuroscience) using different methodological approaches (e.g., behavioral studies of healthy children and adults and of patients; electrophysiology and brain imaging studies in humans; single-cell neurophysiology in non-human primates, habituation studies in human infants and animals, and computer modeling). While the study of numerical cognition had been relatively neglected for a long time, during the last decade there has been an explosion of studies and new findings. This has resulted in an enormous advance in our understanding of the neural and cognitive mechanisms of numerical cognition. In addition, there has recently been increasing interest and concern about pupils' mathematical achievement in many countries, resulting in attempts to use research to guide mathematics instruction in schools, and to develop interventions for children with mathematical difficulties. This handbook brings together the different research areas that make up the field of numerical cognition in one comprehensive and authoritative volume. The chapters provide a broad and extensive review that is written in an accessible form for scholars and students, as well as educationalists, clinicians, and policy makers. The book covers the most important aspects of research on numerical cognition from the areas of development psychology, cognitive psychology, neuropsychology and rehabilitation, learning disabilities, human and animal cognition and neuroscience, computational modeling, education and individual differences, and philosophy. Containing more than 60 chapters by leading specialists in their fields, the Oxford Handbook of Numerical Cognition is a state-of-the-art review of the current literature.

Developmental Dyscalculia

Developmental Dyscalculia
Author: Jörg-Tobias Kuhn
Publsiher: Unknown
Total Pages: 82
Release: 2015-07-20
ISBN 10: 9780889374751
ISBN 13: 0889374759
Language: EN, FR, DE, ES & NL

Developmental Dyscalculia Book Review:

This volume aims to further our understanding of developmental dyscalculia and measures that might help to redress it. In addition to recent research findings highlighting the importance of working memory facets in developmental dyscalculia and investigating the IQ-achievement discrepancy criterion in defining the disorder, a meta-analysis on the effectiveness of interventions for children with mathematical difficulties provides new directions for how affected children can best be helped.

Neuronal Dynamics

Neuronal Dynamics
Author: Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski
Publsiher: Cambridge University Press
Total Pages: 590
Release: 2014-07-24
ISBN 10: 1107060834
ISBN 13: 9781107060838
Language: EN, FR, DE, ES & NL

Neuronal Dynamics Book Review:

This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Numerical Development From cognitive functions to neural underpinnings

Numerical Development   From cognitive functions to neural underpinnings
Author: Korbinian Moeller,Elise Klein,Klaus F Willmes - von Hinckeldey,Karin Kucian
Publsiher: Frontiers Media SA
Total Pages: 329
Release: 2015-02-24
ISBN 10: 2889194248
ISBN 13: 9782889194247
Language: EN, FR, DE, ES & NL

Numerical Development From cognitive functions to neural underpinnings Book Review:

Living at the beginning of the 21st century requires being numerate, because numerical abilities are not only essential for life prospects of individuals but also for economic interests of post-industrial knowledge societies. Thus, numerical development is at the core of both individual as well as societal interests. There is the notion that we are already born with a very basic ability to deal with small numerosities. Yet, this often called “number sense” seems to be very restricted, approximate, and driven by perceptual constraints. During our numerical development in formal (e.g., school) but also informal contexts (e.g., family, street) we acquire culturally developed abstract symbol systems to represent exact numerosities – in particular number words and Arabic digits – refining our numerical capabilities. In recent years, numerical development has gained increasing research interest documented in a growing number of behavioural, neuro-scientific, educational, cross-cultural, and neuropsychological studies addressing this issue. Additionally, our understanding of how numerical competencies develop has also benefitted considerably from the advent of different neuro-imaging techniques allowing for an evaluation of developmental changes in the human brain. In sum, we are now starting to put together a more and more coherent picture of how numerical competencies develop and how this development is associated with neural changes as well. In the end, this knowledge might also lead to a better understanding of the reasons for atypical numerical development which often has grieve consequences for those who suffer from developmental dyscalculia or mathematics learning disabilities. Therefore, this Research Topic deals with all aspects of numerical development: findings from behavioural performance to underlying neural substrates, from cross-sectional to longitudinal evaluations, from healthy to clinical populations. To this end, we included empirical contributions using different experimental methodologies, but also theoretical contributions, review articles, or opinion papers.

Cognitive Development and Individual Variability

Cognitive Development and Individual Variability
Author: Anik De Ribaupierre,Thierry Lecerf
Publsiher: MDPI
Total Pages: 158
Release: 2019-07-01
ISBN 10: 3039210521
ISBN 13: 9783039210527
Language: EN, FR, DE, ES & NL

Cognitive Development and Individual Variability Book Review:

The standard approach to cognitive development most frequently consists of cross-sectional studies comparing different ages and groups while restricted to a single task. The necessity to focus on the individual in an idiographic perspective, rather than on the task or the variable, has been repeatedly emphasized, most recently in several very important papers by Nesselroade and Molenaar. Variability has also emerged as a crucial characteristic. Moreover, understanding the developmental construction of a given cognitive achievement is imperative to understanding cognitive functioning in adulthood. The general objective of this book is to focus on the individual by studying intraindividual and interindividual variability in various cognitive tasks, that is, intraindividual variability across items of a given task (“inconsistency”), across various cognitive tasks (“dispersion”), and/or across years (“intraindividual change”), and of course, on interindividual differences in intraindividual variability. This book presents empirical studies that have been conducted by research groups in Europe and in North America, prominent in the field of variability and development or methodology. The 26 authors/co-authors include senior authors such as Lautrey, Schmiedek, Dauvier, van der Maas, Ghisletta, Stawski, MacDonald, and de Ribaupierre.

Numerical Methods for Special Functions

Numerical Methods for Special Functions
Author: Amparo Gil,Javier Segura,Nico M. Temme
Publsiher: SIAM
Total Pages: 415
Release: 2007-01-01
ISBN 10: 9780898717822
ISBN 13: 0898717825
Language: EN, FR, DE, ES & NL

Numerical Methods for Special Functions Book Review:

Special functions arise in many problems of pure and applied mathematics, mathematical statistics, physics, and engineering. This book provides an up-to-date overview of numerical methods for computing special functions and discusses when to use these methods depending on the function and the range of parameters. Not only are standard and simple parameter domains considered, but methods valid for large and complex parameters are described as well. The first part of the book (basic methods) covers convergent and divergent series, Chebyshev expansions, numerical quadrature, and recurrence relations. Its focus is on the computation of special functions; however, it is suitable for general numerical courses. Pseudoalgorithms are given to help students write their own algorithms. In addition to these basic tools, the authors discuss other useful and efficient methods, such as methods for computing zeros of special functions, uniform asymptotic expansions, Padé approximations, and sequence transformations. The book also provides specific algorithms for computing several special functions (like Airy functions and parabolic cylinder functions, among others).

Towards Cognitive Autonomous Networks

Towards Cognitive Autonomous Networks
Author: Stephen S. Mwanje,Christian Mannweiler
Publsiher: John Wiley & Sons
Total Pages: 560
Release: 2020-10-02
ISBN 10: 1119586402
ISBN 13: 9781119586401
Language: EN, FR, DE, ES & NL

Towards Cognitive Autonomous Networks Book Review:

Learn about the latest in cognitive and autonomous network management Towards Cognitive Autonomous Networks: Network Management Automation for 5G and Beyond delivers a comprehensive understanding of the current state-of-the-art in cognitive and autonomous network operation. Authors Mwanje and Bell fully describe today's capabilities while explaining the future potential of these powerful technologies. This book advocates for autonomy in new 5G networks, arguing that the virtualization of network functions render autonomy an absolute necessity. Following that, the authors move on to comprehensively explain the background and history of large networks, and how we come to find ourselves in the place we're in now. Towards Cognitive Autonomous Networks describes several novel techniques and applications of cognition and autonomy required for end-to-end cognition including: • Configuration of autonomous networks • Operation of autonomous networks • Optimization of autonomous networks • Self-healing autonomous networks The book concludes with an examination of the extensive challenges facing completely autonomous networks now and in the future.

Numerical Development From cognitive functions to neural underpinnings

Numerical Development   From cognitive functions to neural underpinnings
Author: Korbinian Moeller,Elise Klein,Klaus F Willmes - von Hinckeldey,Karin Kucian
Publsiher: Frontiers Media SA
Total Pages: 329
Release: 2015-02-24
ISBN 10: 2889194248
ISBN 13: 9782889194247
Language: EN, FR, DE, ES & NL

Numerical Development From cognitive functions to neural underpinnings Book Review:

Living at the beginning of the 21st century requires being numerate, because numerical abilities are not only essential for life prospects of individuals but also for economic interests of post-industrial knowledge societies. Thus, numerical development is at the core of both individual as well as societal interests. There is the notion that we are already born with a very basic ability to deal with small numerosities. Yet, this often called “number sense” seems to be very restricted, approximate, and driven by perceptual constraints. During our numerical development in formal (e.g., school) but also informal contexts (e.g., family, street) we acquire culturally developed abstract symbol systems to represent exact numerosities – in particular number words and Arabic digits – refining our numerical capabilities. In recent years, numerical development has gained increasing research interest documented in a growing number of behavioural, neuro-scientific, educational, cross-cultural, and neuropsychological studies addressing this issue. Additionally, our understanding of how numerical competencies develop has also benefitted considerably from the advent of different neuro-imaging techniques allowing for an evaluation of developmental changes in the human brain. In sum, we are now starting to put together a more and more coherent picture of how numerical competencies develop and how this development is associated with neural changes as well. In the end, this knowledge might also lead to a better understanding of the reasons for atypical numerical development which often has grieve consequences for those who suffer from developmental dyscalculia or mathematics learning disabilities. Therefore, this Research Topic deals with all aspects of numerical development: findings from behavioural performance to underlying neural substrates, from cross-sectional to longitudinal evaluations, from healthy to clinical populations. To this end, we included empirical contributions using different experimental methodologies, but also theoretical contributions, review articles, or opinion papers.

Maximum Likelihood Estimation for Sample Surveys

Maximum Likelihood Estimation for Sample Surveys
Author: Raymond L. Chambers,David G. Steel,Suojin Wang,Alan Welsh
Publsiher: CRC Press
Total Pages: 391
Release: 2012-05-02
ISBN 10: 1584886323
ISBN 13: 9781584886327
Language: EN, FR, DE, ES & NL

Maximum Likelihood Estimation for Sample Surveys Book Review:

Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to biased and inefficient estimates. Maximum Likelihood Estimation for Sample Surveys presents an overview of likelihood methods for the analysis of sample survey data that account for the selection methods used, and includes all necessary background material on likelihood inference. It covers a range of data types, including multilevel data, and is illustrated by many worked examples using tractable and widely used models. It also discusses more advanced topics, such as combining data, non-response, and informative sampling. The book presents and develops a likelihood approach for fitting models to sample survey data. It explores and explains how the approach works in tractable though widely used models for which we can make considerable analytic progress. For less tractable models numerical methods are ultimately needed to compute the score and information functions and to compute the maximum likelihood estimates of the model parameters. For these models, the book shows what has to be done conceptually to develop analyses to the point that numerical methods can be applied. Designed for statisticians who are interested in the general theory of statistics, Maximum Likelihood Estimation for Sample Surveys is also aimed at statisticians focused on fitting models to sample survey data, as well as researchers who study relationships among variables and whose sources of data include surveys.

The WEIRDest People in the World

The WEIRDest People in the World
Author: Joseph Henrich
Publsiher: Farrar, Straus and Giroux
Total Pages: 704
Release: 2020-09-08
ISBN 10: 0374710457
ISBN 13: 9780374710453
Language: EN, FR, DE, ES & NL

The WEIRDest People in the World Book Review:

A New York Times Notable Book of 2020 A Bloomberg Best Non-Fiction Book of 2020 A Behavioral Scientist Notable Book of 2020 A Human Behavior & Evolution Society Must-Read Popular Evolution Book of 2020 A bold, epic account of how the co-evolution of psychology and culture created the peculiar Western mind that has profoundly shaped the modern world. Perhaps you are WEIRD: raised in a society that is Western, Educated, Industrialized, Rich, and Democratic. If so, you’re rather psychologically peculiar. Unlike much of the world today, and most people who have ever lived, WEIRD people are highly individualistic, self-obsessed, control-oriented, nonconformist, and analytical. They focus on themselves—their attributes, accomplishments, and aspirations—over their relationships and social roles. How did WEIRD populations become so psychologically distinct? What role did these psychological differences play in the industrial revolution and the global expansion of Europe during the last few centuries? In The WEIRDest People in the World, Joseph Henrich draws on cutting-edge research in anthropology, psychology, economics, and evolutionary biology to explore these questions and more. He illuminates the origins and evolution of family structures, marriage, and religion, and the profound impact these cultural transformations had on human psychology. Mapping these shifts through ancient history and late antiquity, Henrich reveals that the most fundamental institutions of kinship and marriage changed dramatically under pressure from the Roman Catholic Church. It was these changes that gave rise to the WEIRD psychology that would coevolve with impersonal markets, occupational specialization, and free competition—laying the foundation for the modern world. Provocative and engaging in both its broad scope and its surprising details, The WEIRDest People in the World explores how culture, institutions, and psychology shape one another, and explains what this means for both our most personal sense of who we are as individuals and also the large-scale social, political, and economic forces that drive human history. Includes black-and-white illustrations.

Language and Culture in Mathematical Cognition

Language and Culture in Mathematical Cognition
Author: Daniel B. Berch,David C. Geary,Kathleen Mann Koepke
Publsiher: Academic Press
Total Pages: 364
Release: 2018-07-27
ISBN 10: 0128125756
ISBN 13: 9780128125755
Language: EN, FR, DE, ES & NL

Language and Culture in Mathematical Cognition Book Review:

Language and Culture in Mathematical Cognition, First Edition focuses on the role of linguistic and cultural factors in math cognition and development. It covers a wide range of topics, including analogical mapping in numerical development, arithmetic fact retrieval in the bilingual brain, cross-cultural comparisons of mathematics achievement, the shaping of numerical processing by number word construction, the influence of Head Start programs, the mathematical skills of children with specific language impairments, the role of culture and language in creating associations between number and space, and electrophysiological studies of linguistic traces in core knowledge at the neural level. Includes cutting-edge findings, innovative measures, recent methodological advances and groundbreaking theoretical developments Synthesizes research from various subdomains of math cognition research Covers the full complement of research in mathematical thinking and learning Informs researchers, scholars, educators, students and policymakers

Space Time and Number in the Brain

Space  Time and Number in the Brain
Author: Stanislas Dehaene,Elizabeth Brannon
Publsiher: Academic Press
Total Pages: 361
Release: 2011
ISBN 10: 0123859484
ISBN 13: 9780123859488
Language: EN, FR, DE, ES & NL

Space Time and Number in the Brain Book Review:

The study of mathematical cognition and the ways in which the ideas of space, time and number are encoded in brain circuitry has become a fundamental issue for neuroscience. How such encoding differs across cultures and educational level is of further interest in education and neuropsychology. This rapidly expanding field of research is overdue for an interdisciplinary volume such as this, which deals with the neurological and psychological foundations of human numeric capacity. A uniquely integrative work, this volume provides a much needed compilation of primary source material to researchers from basic neuroscience, psychology, developmental science, neuroimaging, neuropsychology and theoretical biology. * The first comprehensive and authoritative volume dealing with neurological and psychological foundations of mathematical cognition * Uniquely integrative volume at the frontier of a rapidly expanding interdisciplinary field * Features outstanding and truly international scholarship, with chapters written by leading experts in a variety of fields

Deep Learning with PyTorch

Deep Learning with PyTorch
Author: Eli Stevens,Luca Antiga,Thomas Viehmann
Publsiher: Manning Publications
Total Pages: 520
Release: 2020-08-04
ISBN 10: 1617295264
ISBN 13: 9781617295263
Language: EN, FR, DE, ES & NL

Deep Learning with PyTorch Book Review:

Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you—and your deep learning skills—become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun. Summary Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you—and your deep learning skills—become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun. Foreword by Soumith Chintala, Cocreator of PyTorch. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Although many deep learning tools use Python, the PyTorch library is truly Pythonic. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s excellent for building quick models, and it scales smoothly from laptop to enterprise. Because companies like Apple, Facebook, and JPMorgan Chase rely on PyTorch, it’s a great skill to have as you expand your career options. It’s easy to get started with PyTorch. It minimizes cognitive overhead without sacrificing the access to advanced features, meaning you can focus on what matters the most - building and training the latest and greatest deep learning models and contribute to making a dent in the world. PyTorch is also a snap to scale and extend, and it partners well with other Python tooling. PyTorch has been adopted by hundreds of deep learning practitioners and several first-class players like FAIR, OpenAI, FastAI and Purdue. About the book Deep Learning with PyTorch teaches you to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. After covering the basics, the book will take you on a journey through larger projects. The centerpiece of the book is a neural network designed for cancer detection. You'll discover ways for training networks with limited inputs and start processing data to get some results. You'll sift through the unreliable initial results and focus on how to diagnose and fix the problems in your neural network. Finally, you'll look at ways to improve your results by training with augmented data, make improvements to the model architecture, and perform other fine tuning. What's inside Training deep neural networks Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Exploring code samples in Jupyter Notebooks About the reader For Python programmers with an interest in machine learning. About the author Eli Stevens had roles from software engineer to CTO, and is currently working on machine learning in the self-driving-car industry. Luca Antiga is cofounder of an AI engineering company and an AI tech startup, as well as a former PyTorch contributor. Thomas Viehmann is a PyTorch core developer and machine learning trainer and consultant. consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production

The Psychology of Socialism

The Psychology of Socialism
Author: Gustave Le Bon
Publsiher: Transaction Publishers
Total Pages: 415
Release: 1899
ISBN 10:
ISBN 13: NWU:35556032296626
Language: EN, FR, DE, ES & NL

The Psychology of Socialism Book Review:

The Psychology of Socialism was first published in 1899 in a period of crisis for French democracy. The Third Republic had survived an attempted coup detat, only to be confronted with what Georges Sorel and others called the "Bohemian revolution"-the triumph of radical and socialist forces in the Dreyfus Affair. The emotionalism and hysteria of the period convinced Le Bon that most political controversy is based neither on reasoned deliberation nor rational interest, but on a psychology that partakes of hysterical religiosity.

Programming Collective Intelligence

Programming Collective Intelligence
Author: Toby Segaran
Publsiher: "O'Reilly Media, Inc."
Total Pages: 362
Release: 2007-08-16
ISBN 10: 0596550685
ISBN 13: 9780596550684
Language: EN, FR, DE, ES & NL

Programming Collective Intelligence Book Review:

Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect

The American Psychiatric Association Practice Guidelines for the Psychiatric Evaluation of Adults Third Edition

The American Psychiatric Association Practice Guidelines for the Psychiatric Evaluation of Adults  Third Edition
Author: American Psychiatric Association
Publsiher: American Psychiatric Pub
Total Pages: 170
Release: 2015-07-29
ISBN 10: 0890424659
ISBN 13: 9780890424650
Language: EN, FR, DE, ES & NL

The American Psychiatric Association Practice Guidelines for the Psychiatric Evaluation of Adults Third Edition Book Review:

Since the publication of the Institute of Medicine (IOM) report Clinical Practice Guidelines We Can Trust in 2011, there has been an increasing emphasis on assuring that clinical practice guidelines are trustworthy, developed in a transparent fashion, and based on a systematic review of the available research evidence. To align with the IOM recommendations and to meet the new requirements for inclusion of a guideline in the National Guidelines Clearinghouse of the Agency for Healthcare Research and Quality (AHRQ), American Psychiatric Association (APA) has adopted a new process for practice guideline development. Under this new process APA's practice guidelines also seek to provide better clinical utility and usability. Rather than a broad overview of treatment for a disorder, new practice guidelines focus on a set of discrete clinical questions of relevance to an overarching subject area. A systematic review of evidence is conducted to address these clinical questions and involves a detailed assessment of individual studies. The quality of the overall body of evidence is also rated and is summarized in the practice guideline. With the new process, recommendations are determined by weighing potential benefits and harms of an intervention in a specific clinical context. Clear, concise, and actionable recommendation statements help clinicians to incorporate recommendations into clinical practice, with the goal of improving quality of care. The new practice guideline format is also designed to be more user friendly by dividing information into modules on specific clinical questions. Each module has a consistent organization, which will assist users in finding clinically useful and relevant information quickly and easily. This new edition of the practice guidelines on psychiatric evaluation for adults is the first set of the APA's guidelines developed under the new guideline development process. These guidelines address the following nine topics, in the context of an initial psychiatric evaluation: review of psychiatric symptoms, trauma history, and treatment history; substance use assessment; assessment of suicide risk; assessment for risk of aggressive behaviors; assessment of cultural factors; assessment of medical health; quantitative assessment; involvement of the patient in treatment decision making; and documentation of the psychiatric evaluation. Each guideline recommends or suggests topics to include during an initial psychiatric evaluation. Findings from an expert opinion survey have also been taken into consideration in making recommendations or suggestions. In addition to reviewing the available evidence on psychiatry evaluation, each guideline also provides guidance to clinicians on implementing these recommendations to enhance patient care.