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how to score iters: Early Childhood Environment Rating Scale (ECERS-3) Thelma Harms, Richard M. Clifford, Debby Cryer, 2014-11-01 The long-anticipated new version of the internationally recognized Early Childhood Environment Rating Scale®, ECERS-3, focuses on the full range of needs of preschool- and kindergarten-aged children. This widely used, comprehensive assessment tool measures both environmental provisions and teacher-child interactions that affect the broad developmental needs of young children, including: Cognitive Social-emotional Physical Health and safety ECERS-3 also includes additional Items assessing developmentally appropriate literacy and math activities. Designed for preschool, kindergarten, and child care classrooms serving children 3 through 5 years of age, ECERS-3: Provides a smooth transition for those already using ECERS-R. Emphasizes the role of the teacher in creating an environment conducive to developmental gains. Is designed to predict child outcomes more accurately and with greater precision. Provides a stronger method of distinguishing between good and truly excellent programs. Offers a complete training program with ongoing support available at the Environment Rating Scales Institute (ERSI) website (www.ersi.info). ECERS-3 is appropriate for state and district-wide QRIS and continuous improvement; program evaluation by directors and supervisors; teacher self-evaluation; monitoring by agency staff; and teacher education. The established reliability and long term evidence of validity of the ERS family of instruments make this new version of ECERS particularly useful for RTTT-ELC accountability and research. Suitable for use in inclusive and culturally diverse programs, ECERS-3 subscales evaluate: Space and Furnishings Personal Care Routines Language and Literacy Learning Activities Interaction Program Structure |
how to score iters: Infant/Toddler Environment Rating Scale (ITERS-3) Thelma Harms, Debby Cryer, Richard M. Clifford, Noreen Yazejian, 2017-07-07 Building on extensive feedback from the field as well as vigorous new research on how best to support infant and toddler development and learning, the authors have revised and updated the widely used Infant/Toddler Environment Rating Scale. ITERS-3 is the next-generation assessment tool for use in center-based child care programs for infants and toddlers up to 36 months of age. ITERS-3 focuses on the full range of needs of infants and toddlers and provides a framework for improving program quality. Further, the scale assesses both environmental provisions and teacher-child interactions that affect the broad developmental milestones of infants and toddlers, including: language, cognitive, social-emotional and physical development, as well as concern for health and safety. ITERS-3 is appropriate for state- and district-wide QRIS and continuous quality improvement, program evaluation by directors and supervisors, teacher self-evaluation, monitoring by agency staff, and teacher training programs. The established reliability and validity of the scale make it particularly useful for research and program evaluation. While the approach to assessing quality and the scoring process remain the same for the new ITERS-3, users will find the following improvements informed by extensive use of the ITERS in the field and by the most recent research: Enhanced focus on interactions and the role of the teacher. Six new language and literacy Items. A new Item on beginning math experiences. Expanded age range to include children from birth to 36 months. A new approach to scoring based solely on observation of ongoing classroom activity (3-hour time sample). The elimination of the parents/staff subscale and teacher interviews, freeing up time for observing more actual classroom practice. Improved indicator scaling, providing more precise and useful scores for use in professional development and self-improvement. Reduced emphasis on the number of materials, along with greater emphasis on how materials are used to encourage learning. Suitable for use in inclusive and culturally diverse programs, ITERS-3 subscales evaluate: Space and Furnishings Personal Care Routines Language and Books Activities Interaction Program Structure |
how to score iters: Infant/toddler Environment Rating Scale Thelma Harms, Debby Cryer, Richard M. Clifford, 2003 The ITERS-R is a thorough revision of the widely used program quality assessment instrument, The Infant/Toddler Environment Rating Scale. Designed for use in center-based child care programs for infants and toddlers up to 30 months of age, the ITERS-R can be used by program directors for supervision and program improvement, by teaching staff for self-assessment, by agency staff for monitoring, and in teacher training programs. The established reliability and validity of the scale make it particularly useful for research and program evaluation. Book jacket. |
how to score iters: All about the ECERS-R Debby Cryer, Thelma Harms, Cathy Riley, 2003 This resoruce provides step by step instruction on how to design a quality day care environment. It should be used side by side with the ECERS-R, the scale used to develop and quantify quality standards in Canada, the USA, and abroad. It includes the How, What and Why for Each indicator, seven sub-scale items, step-by-step instructions, and over 700 colour photos. The usage of this book can ensure accurate ECERS-R assessment by: early childhood practitioners, to improve classroom quality; technical staff, wanting to provide guidance to practitioners; licensing staff, who need to evaluate the quality of a program; and researchers, who need to use the scale correctly and reliably. The format is organized to match the format of the assessment, by subscale, item and indicator. They provide clear, print explanations of how each indicator within each item is to be interpreted. |
how to score iters: Family Day Care Rating Scale Thelma Harms, Richard M. Clifford, 1989 FDCRS consists of 32 items, organized under six major headings: Space and Furnishings for Care and Learning -- Basic Care -- Language and Reasoning -- Learning Activities -- Social Development -- Adult Needs. Eight additional items are included for rating a day care home's provisions for special-needs children. Each book contains one score sheet. Packages of 30 score sheets can be ordered separately. |
how to score iters: Discrimination in Elite Public Schools Gary Orfield, Jennifer B. Ayscue, 2018 School choice is an increasingly important part of today’s educational landscape and this timely volume presents fresh research about the competitive admissions policies of choice systems. Based on their investigation of a unique civil rights challenge to school choice admissions policies in politically and racially divided Buffalo, New York, and the struggle to open its best schools to students of color, authors Orfield and Ayscue contend that without intentional effort, choice systems are likely to exacerbate problems of inequality and segregation. Focusing on issues that will continue to be contested in the courts and in the policy arena, the authors offer research-based recommendations for reducing barriers to enrollment and for creating competitive-admissions choice systems that will allow all students access to important educational opportunities. The book outlines specific steps school systems can take, including developing a district-wide diversity plan, providing more accessible information, conducting holistic admissions processes, expanding the availability of choices, and offering preparation programs to assist students long excluded from these highly competitive schools. Contributors: Natasha Amlani, Jongyeon Ee, Genevieve Siegel-Hawley, Jenna Tomasello, Brian Woodward “This important book ought to inspire a national debate. I hope it will be widely read.” —Jonathan Kozol, education activist and bestselling author In the News: Buffalo Parents Slam School Distric’s Response to Civil Rights Complaint: “This time around, parents with the District Parent Coordinating Council say that the proposal does not go far enough in addressing their complaints or the recommendations that Orfield proposed earlier this year.” —Excerpt from Education Week (10/1/15) |
how to score iters: Trauma-Sensitive Schools for the Adolescent Years Susan E. Craig, 2017 In this follow-up to her bestseller, Trauma-Sensitive Schools, Susan Craig provides secondary school teachers and administrators with a trauma-sensitive approach to instruction that will improve students’ achievement. The text provides an overview of the effects of three types of trauma on adolescent development: early childhood adversity, community violence, and systemic inequities. Book Features: Provides an overview of the effects of three types of trauma on adolescent development: early childhood adversity, community violence, and systemic inequities.Links the effects of trauma on students’ cognitive development to educational reform efforts.Integrates research on adolescents’ neurodevelopment and current educational best practices.Builds the capacity of education professionals to successfully manage the behavior of adolescents with symptoms of complex developmental trauma. “Susan Craig’s book provides the scientific evidence and the reasons why it is so critical that schools take this new path in serving our students.” —From the Foreword by Jim Sporleder, principal profiled in the documentary Paper Tigers “A uniquely comprehensive and accessible resource for all educators and school administrators.” —Eric Rossen, National Association of School Psychologists “An in-depth look into the impact of trauma on the adolescent brain along with ideas about how educators can support student learning. This is an essential book for any secondary educator or administrator.” —Sara Daniel, director of clinical services, SaintA, Milwaukee, WI |
how to score iters: Early Childhood Assessment National Research Council, Division of Behavioral and Social Sciences and Education, Board on Testing and Assessment, Board on Children, Youth, and Families, Committee on Developmental Outcomes and Assessments for Young Children, 2008-12-21 The assessment of young children's development and learning has recently taken on new importance. Private and government organizations are developing programs to enhance the school readiness of all young children, especially children from economically disadvantaged homes and communities and children with special needs. Well-planned and effective assessment can inform teaching and program improvement, and contribute to better outcomes for children. This book affirms that assessments can make crucial contributions to the improvement of children's well-being, but only if they are well designed, implemented effectively, developed in the context of systematic planning, and are interpreted and used appropriately. Otherwise, assessment of children and programs can have negative consequences for both. The value of assessments therefore requires fundamental attention to their purpose and the design of the larger systems in which they are used. Early Childhood Assessment addresses these issues by identifying the important outcomes for children from birth to age 5 and the quality and purposes of different techniques and instruments for developmental assessments. |
how to score iters: Coaching with ECERS Holly Seplocha, 2018-11-16 ECERS is widely used in the United States and internationally to assess the overall quality of preschool and kindergarten classrooms and to provide a framework for continuous quality improvement. This new book in the ERS® Family presents best practices to help coaches build trusting relationships with teachers, program directors, and administrators that will improve classroom environments and teaching practices. By using ECERS-3 and ECERS-R as a coaching tool, Holly Seplocha shows coaches and teachers how to work together to implement what is best for children. Each ECERS subscale chapter offers suggestions for quick and easy solutions, as well as strategies for classroom change that generally take more time for teachers to understand and incorporate into daily practice. This resource also includes guidance and activities for facilitating group meetings, professional learning communities, and staff workshops. Coaching with ECERS will help refine classroom practices and environments so that scores will rise, not just for the day, but for every day. Book Features: Outlines the nuts and bolts of coaching with ECERS in a way that has meaning and impacts classroom practice. Provides an overview of adult learning and coaching strategies, incorporating techniques for coaching novice and experienced teachers, as well as administrators. Examines the diversity of roles, from peer coaching to coaching from the inside or outside of the program, to administrators and supervisors who coach within their role. Presents the case for building onsite program capacity for coaches who target their efforts with administrators. Offers hands-on advice, strategies, and tools including “ECERS Tips” and No, No, Never, Nevers, as well as helpful resources to support coaches and administrators. |
how to score iters: Explorations with Young Children Anne W. Mitchell, Judy David, 1992 From the Bank Street College, an approach to designing a curriculum which meets children's needs. |
how to score iters: A Methodological Study of Configural Scoring United States. Adjutant-General's Office. Personnel Research and Procedures Division, 1954 |
how to score iters: The Early Childhood Educator Professional Development Grant John A. Sutterby, 2011-10-06 Focuses on the implementation of professional development for early childhood educators, describing a number of models for improving early childhood care. This title provides future developers of professional development with a road map for what works and what might not be as effective. |
how to score iters: Hands-On Python Deep Learning for the Web Anubhav Singh, Sayak Paul, 2020-05-15 Use the power of deep learning with Python to build and deploy intelligent web applications Key FeaturesCreate next-generation intelligent web applications using Python libraries such as Flask and DjangoImplement deep learning algorithms and techniques for performing smart web automationIntegrate neural network architectures to create powerful full-stack web applicationsBook Description When used effectively, deep learning techniques can help you develop intelligent web apps. In this book, you'll cover the latest tools and technological practices that are being used to implement deep learning in web development using Python. Starting with the fundamentals of machine learning, you'll focus on DL and the basics of neural networks, including common variants such as convolutional neural networks (CNNs). You'll learn how to integrate them into websites with the frontends of different standard web tech stacks. The book then helps you gain practical experience of developing a deep learning-enabled web app using Python libraries such as Django and Flask by creating RESTful APIs for custom models. Later, you'll explore how to set up a cloud environment for deep learning-based web deployments on Google Cloud and Amazon Web Services (AWS). Next, you'll learn how to use Microsoft's intelligent Emotion API, which can detect a person's emotions through a picture of their face. You'll also get to grips with deploying real-world websites, in addition to learning how to secure websites using reCAPTCHA and Cloudflare. Finally, you'll use NLP to integrate a voice UX through Dialogflow on your web pages. By the end of this book, you'll have learned how to deploy intelligent web apps and websites with the help of effective tools and practices. What you will learnExplore deep learning models and implement them in your browserDesign a smart web-based client using Django and FlaskWork with different Python-based APIs for performing deep learning tasksImplement popular neural network models with TensorFlow.jsDesign and build deep web services on the cloud using deep learningGet familiar with the standard workflow of taking deep learning models into productionWho this book is for This deep learning book is for data scientists, machine learning practitioners, and deep learning engineers who are looking to perform deep learning techniques and methodologies on the web. You will also find this book useful if you’re a web developer who wants to implement smart techniques in the browser to make it more interactive. Working knowledge of the Python programming language and basic machine learning techniques will be beneficial. |
how to score iters: The Early Years Inter-American Development Bank, Norbert Schady, 2015-10-22 This book is open access under a CC BY-NC-ND 3.0 IGO license. The Early Years analyzes the development of Latin American and Caribbean children and makes a compelling case for government intervention in what is instinctively a family affair. Spending on effective programs for young children is an investment that, if done well, will have very high returns, while failure to implement such programs will lower the returns on the hefty investments being made in primary, secondary, and higher education. Policies for young children belong at the core of a country's development agenda, alongside policies to develop infrastructure and strengthen institutions. However, if the services provided (or funded) by governments are to benefit children, they must be substantially better than what is currently being delivered in the region. This book offers suggestions for improving public policy in this critical area. |
how to score iters: The Oxford Handbook of Infant, Toddler, and Preschool Mental Health Assessment Rebecca DelCarmen-Wiggins, Alice S. Carter, 2019 The Oxford Handbook of Infant, Toddler, and Preschool Mental Health Assessment, Second Edition brings together leading clinical and developmental researchers to provide empirically based recommendations for assessment of social-emotional and behavior problems and disorders in the earliest years. The second edition is fully updated and revised according to an upsurge of research in the field of assessment, especially with regard to infants and children. |
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how to score iters: Child Care Quality Rating and Improvement Systems in Five Pioneer States Gail Zellman, Michal Perlman, 2008 Child-care quality rating and improvement systems (QRISs) are designed to make child-care quality transparent to child-care parents, providers, and policymakers and to help providers improve their quality. This monograph discusses the development and implementation of QRISs in Oklahoma, Colorado, North Carolina, Pennsylvania, and Ohio, highlighting lessons that the states learned and recommendations for QRIS development and refinement. |
how to score iters: Resources for Measuring Services and Outcomes in Head Start Programs Serving Infants and Toddlers Ellen Eliason Kisker, 2006 |
how to score iters: Formal Methods in Computer-Aided Design Mark D. Aagaard, John W. O'Leary, 2003-06-30 This volume contains the proceedings of the Fourth Biennial Conference on F- mal Methods in Computer-Aided Design (FMCAD). The conference is devoted to the use of mathematical methods for the analysis of digital hardware c- cuits and systems. The workreported in this bookdescribes the use of formal mathematics and associated tools to design and verify digital hardware systems. Functional veri?cation has become one of the principal costs in a modern computer design e?ort. FMCAD provides a venue for academic and industrial researchers and practitioners to share their ideas and experiences of using - screte mathematical modeling and veri?cation. Over the past 20 years, this area has grown from just a few academic researchers to a vibrant worldwide com- nity of people from both academia and industry. This volume includes 23 papers selected from the 47 submitted papers, each of which was reviewed by at least three program committee members. The history of FMCAD dates backto 1984, when the earliest meetings on this topic occurred as part of IFIP WG10.2. |
how to score iters: ECERS-E with Planning Notes Kathy Sylva, Iram Siraj, Brenda Taggart, 2010-11-22 ECERS-E is designed to be used with the Early Childhood Rating Scale-Revised (ECERS-R), an internationally recognized measure of quality in education and care written by Thelma Harms, Richard M. Clifford, and Debby Cryer. It not only complements the ECERS-R but extends the scales to provide additional insights into important aspects of literacy, mathematics, science and environment, as well as practices related to issues of diversity. Given the current focus on emerging literacy and numeracy skills, the ECERS-E provides unique guidance on the kinds of environments that enhance learning in preschool settings. The curriculum domains within the scales bear important relationships to children’s (age 3–5) cognitive and social/behavioral developmental outcomes. Using the ECERS-E alongside the ECERS-R gives users a more complete picture of what a high-quality early childhood education program can look like. It can be used by program directors, teaching staff, agency staff, and in teacher training programs. Convenient organization: Literacy Items: Print in the environment Book and literacy areas Adults reading with children Sounds in words Emergent writing/mark making Talking and listening Mathematics Items: Counting and application of counting Reading and representing simple numbers Activities: Shape Activities: Sorting, matching and comparing Science and Environment Items: Natural materials Areas featuring science/science materials Activities: Non living Activities: Living processes Activities: Food preparation Diversity Items: Planning for individual learning needs Gender equality and awareness Race equality and awareness |
how to score iters: Early Childhood Assessment National Research Council, Division of Behavioral and Social Sciences and Education, Board on Testing and Assessment, Board on Children, Youth, and Families, Committee on Developmental Outcomes and Assessments for Young Children, 2008-12-21 The assessment of young children's development and learning has recently taken on new importance. Private and government organizations are developing programs to enhance the school readiness of all young children, especially children from economically disadvantaged homes and communities and children with special needs. Well-planned and effective assessment can inform teaching and program improvement, and contribute to better outcomes for children. This book affirms that assessments can make crucial contributions to the improvement of children's well-being, but only if they are well designed, implemented effectively, developed in the context of systematic planning, and are interpreted and used appropriately. Otherwise, assessment of children and programs can have negative consequences for both. The value of assessments therefore requires fundamental attention to their purpose and the design of the larger systems in which they are used. Early Childhood Assessment addresses these issues by identifying the important outcomes for children from birth to age 5 and the quality and purposes of different techniques and instruments for developmental assessments. |
how to score iters: Baccalaureate and Beyond Longitudinal Study Patricia Greene, 1999 |
how to score iters: Teaching Pyramid Infant-Toddler Observation Scale (Tpitos(tm)) for Infant-Toddler Classrooms, Research Edition Kathryn M. Bigelow, Judith Carta, Dwight Wayland Irvin, Mary Louise Hemmeter, 2018-09 The Teaching Pyramid Infant-Toddler Observation Scale (TPITOS(TM)) is an assessment instrument designed to measure the fidelity of implementation of practices associated with the Pyramid Model in center-based infant and toddler care settings. The TPITOS provides a classroom snapshot of the adult behaviors and classroom environment variables associated with supporting and promoting the social-emotional development of infants and toddlers. The tool is made up of items, or categories, of teacher behavior. The three types of items are a) Observational Items, b) Interview Items, and c) Red Flag Items. |
how to score iters: Investing in Children Ariel Kalil, Ron Haskins, Jenny Chesters, 2012-05-03 Investing in Children: Work, Education, and Social Policy in Two Rich Countries presents new research by leading scholars in Australia and the United States on economic factors that influence children's development and the respective social policies that the two nations have designed to boost human capital development. The volume is organized around three major issues: parental employment, early childhood education and child care, and postsecondary education. All three issues are intimately linked with human capital development. Since both Australia and the United States have created extensive policies to address these three issues, there is potential for each to learn from the other's experiences and policies. This volume helps fulfill that potential. The authors demonstrate that in both nations, the effects of low family income and income inequality emerge early in life and persist. However, policies that increase parental employment, augment family income, and promote quality preschool and postsecondary education can boost children's development and at least partially offset the negative developmental effects of family economic disadvantage. |
how to score iters: Making a Difference in the Lives of Infants and Toddlers and Their Families: Final technical report John M. Love, 2002 |
how to score iters: Child Care Problem David M. Blau, 2001-11-09 The child care system in the United States is widely criticized, yet the underlying structural problems are difficult to pin down. In The Child Care Problem, David M. Blau sets aside the often emotional terms of the debate and applies a rigorous economic analysis to the state of the child care system in this country, arriving at a surprising diagnosis of the root of the problem. Blau approaches child care as a service that is bought and sold in markets, addressing such questions as: What kinds of child care are available? Is good care really hard to find? How do costs affect the services families choose? Why are child care workers underpaid relative to other professions? He finds that the child care market functions much better than is commonly believed. The supply of providers has kept pace with the number of mothers entering the workforce, and costs remain relatively modest. Yet most families place a relatively low value on high-quality child care, and are unwilling to pay more for better care. Blau sees this lack of demand—rather than the market's inadequate supply—as the cause of the nation's child care dilemma. The Child Care Problem also faults government welfare policies—which treat child care subsidies mainly as a means to increase employment of mothers, but set no standards regarding the quality of child care their subsidies can purchase. Blau trains an economic lens on research by child psychologists, evaluating the evidence that the day care environment has a genuine impact on early development. The failure of families and government to place a priority on improving such critical conditions for their children provides a compelling reason to advocate change. The Child Care Problem concludes with a balanced proposal for reform. Blau outlines a systematic effort to provide families of all incomes with the information they need to make more prudent decisions. And he suggests specific revisions to welfare policy, including both an allowance to defray the expenses of families with children, and a child care voucher that is worth more when used for higher quality care. The Child Care Problem provides a straightforward evaluation of the many contradictory claims about the problems with child care, and lays out a reasoned blueprint for reform which will help guide both social scientists and non-academics alike toward improving the quality of child care in this country. |
how to score iters: Promoting School Readiness and Early Learning Michel Boivin, Karen L. Bierman, 2013-09-26 Grounded in cutting-edge developmental research, this book examines what school readiness entails and how it can be improved. Compelling longitudinal findings are presented on the benefits of early intervention for preschoolers at risk due to poverty and other factors. The volume identifies the cognitive, language, behavioral, motor, and socioemotional skills that enable young children to function successfully in school contexts. It explores specific ways in which school- and family-based interventions--including programs that target reading and language, math, self-regulation, and social-emotional development--can contribute to school readiness. The book also addresses challenges in the large-scale dissemination of evidence-based practices. |
how to score iters: Semi-Supervised Learning and Domain Adaptation in Natural Language Processing Anders Søgaard, 2022-05-31 This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled data. One reason for that is data sparsity, i.e., the limited amounts of data we have available in NLP. However, in most real-world NLP applications our labeled data is also heavily biased. This book introduces extensions of supervised learning algorithms to cope with data sparsity and different kinds of sampling bias. This book is intended to be both readable by first-year students and interesting to the expert audience. My intention was to introduce what is necessary to appreciate the major challenges we face in contemporary NLP related to data sparsity and sampling bias, without wasting too much time on details about supervised learning algorithms or particular NLP applications. I use text classification, part-of-speech tagging, and dependency parsing as running examples, and limit myself to a small set of cardinal learning algorithms. I have worried less about theoretical guarantees (this algorithm never does too badly) than about useful rules of thumb (in this case this algorithm may perform really well). In NLP, data is so noisy, biased, and non-stationary that few theoretical guarantees can be established and we are typically left with our gut feelings and a catalogue of crazy ideas. I hope this book will provide its readers with both. Throughout the book we include snippets of Python code and empirical evaluations, when relevant. |
how to score iters: Encouraging Physical Development Through Movement-Play Carol Archer, Iram Siraj, 2015-05-28 Movement-play, put simply, is encouraging physical activity in a child-led manner for the benefit of children′s health, learning and wellbeing. This book looks at the theory behind the importance of movement and: how movement play links with all the areas of early childhood development physical activity guidelines for young children practical advice and photos to support implementation in settings how to assess your own setting how to best work with parents on this topic comprehensive guidance on writing a physical development policy The early years is one of the critical periods in the establishment of physical behaviours and physical development is also one of the prime areas of the EYFS as well as other, global, curricula. A must-read for students on Early Childhood and Early Years courses and Early Years practitioners to improve their practice and understanding of psychical development for the benefit of young children. |
how to score iters: Twenty Years of Inflation Targeting David Cobham, Øyvind Eitrheim, Stefan Gerlach, Jan F. Qvigstad, 2010-09-16 There is now a remarkably strong consensus among academics and professional economists that central banks should adopt explicit inflation targets and that all key monetary policy decisions, especially those concerning interest rates, should be made with a view to ensuring that these targets are achieved. This book provides a comprehensive review of the experience of inflation targeting since its introduction in New Zealand in 1989 and looks in detail at what we can learn from the past twenty years and what challenges we may face in the future. Written by a distinguished team of academics and professional economists from central banks around the world, the book covers a wide range of issues including many that have arisen as a result of the recent financial crisis. It should be read by anyone concerned with better understanding inflation targeting and its past, present and future role within monetary policy. |
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how to score iters: Java Structures Duane A. Bailey, 1999 |
how to score iters: Letters to Home Janette Wu, 2021-04-26 Letters to Home: A Memoir (& Other Stories by an ABC) is a collection of letters and personal essays about a young ABC (American Born Chinese) growing up in New York City. In this vulnerable memoir, author Janette Wu evokes humor and authenticity to tell stories that range from heartwarming to heartbreaking. While understanding and accepting her identity, she weighs Chinese cultural values alongside the influences of American culture. Her nostalgic stories transport readers back to childhood while simultaneously capturing the struggle of balancing the two lifestyles. In her attempt to bridge the immigrant transgenerational gap and highlight Asian American heritage, Wu explores how we choose to express love, grapple with life and death, and seek introspection in a redefined perspective on the survival mentality. Letters to Home speaks to fellow ABCs, children of immigrant families, and those who love daring real-world accounts of today's generation. |
how to score iters: The Creative Curriculum for Infants, Toddlers & Twos Diane Trister Dodge, Sherrie Rudick, Kai-leé Berke, Amy Laura Dombro, 2006 Helps teachers appreciate and find joy in the everyday discoveries that delight a child, and helps them to thoughtfully observe and use what they learn, to respond to children's interests and needs. |
how to score iters: EDRA. Environmental Design Research Association, 2005 |
how to score iters: Pattern Recognition and Computer Vision Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji, 2023-12-25 The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. |
how to score iters: Machine Learning for Tabular Data Mark Ryan, Luca Massaron, 2025-03-04 Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques. Machine Learning for Tabular Data teaches you to train insightful machine learning models on common tabular business data sources such as spreadsheets, databases, and logs. You’ll discover how to use XGBoost and LightGBM on tabular data, optimize deep learning libraries like TensorFlow and PyTorch for tabular data, and use cloud tools like Vertex AI to create an automated MLOps pipeline. Machine Learning for Tabular Data will teach you how to: • Pick the right machine learning approach for your data • Apply deep learning to tabular data • Deploy tabular machine learning locally and in the cloud • Pipelines to automatically train and maintain a model Machine Learning for Tabular Data covers classic machine learning techniques like gradient boosting, and more contemporary deep learning approaches. By the time you’re finished, you’ll be equipped with the skills to apply machine learning to the kinds of data you work with every day. Foreword by Antonio Gulli. About the technology Machine learning can accelerate everyday business chores like account reconciliation, demand forecasting, and customer service automation—not to mention more exotic challenges like fraud detection, predictive maintenance, and personalized marketing. This book shows you how to unlock the vital information stored in spreadsheets, ledgers, databases and other tabular data sources using gradient boosting, deep learning, and generative AI. About the book Machine Learning for Tabular Data delivers practical ML techniques to upgrade every stage of the business data analysis pipeline. In it, you’ll explore examples like using XGBoost and Keras to predict short-term rental prices, deploying a local ML model with Python and Flask, and streamlining workflows using large language models (LLMs). Along the way, you’ll learn to make your models both more powerful and more explainable. What's inside • Master XGBoost • Apply deep learning to tabular data • Deploy models locally and in the cloud • Build pipelines to train and maintain models About the reader For readers experienced with Python and the basics of machine learning. About the author Mark Ryan is the AI Lead of the Developer Knowledge Platform at Google. A three-time Kaggle Grandmaster, Luca Massaron is a Google Developer Expert (GDE) in machine learning and AI. He has published 17 other books. Table of Contents Part 1 1 Understanding tabular data 2 Exploring tabular datasets 3 Machine learning vs. deep learning Part 2 4 Classical algorithms for tabular data 5 Decision trees and gradient boosting 6 Advanced feature processing methods 7 An end-to-end example using XGBoost Part 3 8 Getting started with deep learning with tabular data 9 Deep learning best practices 10 Model deployment 11 Building a machine learning pipeline 12 Blending gradient boosting and deep learning A Hyperparameters for classical machine learning models B K-nearest neighbors and support vector machines |
how to score iters: Machine Learning, Deep Learning and AI for Cybersecurity Mark Stamp, Martin Jureček, 2025-05-09 This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and deep learning algorithms to inherently difficult problems in the security domain, such as malware detection and analysis, intrusion detection, spam detection, and various other subfields of cybersecurity. The book places particular attention on data driven approaches, where minimal expert domain knowledge is required. This book bridges some of the gaps that exist between deep learning/AI research and practical problems in cybersecurity. The proposed topics cover a wide range of deep learning and AI techniques, including novel frameworks and development tools enabling the audience to innovate with these cutting-edge research advancements in various security-related use cases. The book is timely since it is not common to find clearly elucidated research that applies the latest developments in AI to problems in cybersecurity. |
how to score iters: Digest of Education Statistics , 2008 Contains information on a variety of subjects within the field of education statistics, including the number of schools and colleges, enrollments, teachers, graduates, educational attainment, finances, Federal funds for education, libraries, international education, and research and development. |
how to score iters: Monetary Policy in India Chetan Ghate, Kenneth M. Kletzer, 2016-11-25 This book presents research that applies contemporary monetary theory and state-of-the-art econometric methods to the analysis of the monetary and financial aspects of the Indian economy and the impact of monetary policy on economic performance. Indian monetary policy has attracted significant attention from Indian and international macroeconomists over the last several years. Interest in how monetary policy influences economic performance and how monetary policy is conducted in India is growing. The prospects for further financial sector reform and ongoing inflation in India have sparked new interest in the role of money and monetary policy in India among economists, policy makers and students alike. The book should also interest economists outside India because it studies monetary economics in a major emerging market economy and makes advances in the analysis of how financial market imperfections and structural constraints influence the effects of monetary policy. |
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