learning javascript

This unique book informs elementary school counselor practice in a positive way that changes the lives of students with learning disabilities by helping to engage them in their learning in an effectiv

Web前端是一個網站開發的首要部分，前端開發的好壞直接影響到整個網站的交互效果。HTML、CSS與JavaScript技術是所有網頁技術的基礎和核心，無論是在互聯網上進行發佈，還是編寫可交互的應用程式，都離不開它們的綜合應用。 本書以專案開發為主線，採用邊講邊練的方式，適合於高等院校IT專業的本、專科生學習，也可作為希望從事網頁設計與製作、網站開發及網頁程式設計等行業人員參考。本書致力於通過深入淺

In Grading the College, Scott M. Gelber offers a comprehensive history of evaluating teaching and learning in higher education. He complicates the conventional narrative that portrays evaluation as a

在Web 變得越來越複雜的時代，解決Web 性能問題正當時。本書旨在幫助讀者創建更加快速的網站，內容涵蓋Web 性能的基礎知識、性能評估工具、CSS 優化、圖像優化、字體優化、JavaScript 相關的內容、Brotli 壓縮算法、資源提示、配置緩存策略、HTTP/2，等等。

《HTML5+CSS3+JavaScript從入門到精通（微視頻精編版套裝共2本）/軟件開發微視頻講堂》內容淺顯易懂，實例豐富，詳細介紹了HTML5+CSS3+JavaScript開發需要掌握的各類實戰知識。 全書分為兩冊：核心技術分冊和強化訓練分冊。核心技術分冊共17章，包括HTML，基礎、文本、圖像和超鏈接、CSS3概述、CSS3高級應用、表格與標籤、列表、表單、多媒體、HTML5新特性

Being an educator involves continual reflection on practice to improve student learning and engagement. Learning to Research and Researching to Learn is an essential introduction to developing research skills and conducting practitioner research in the field of education. Learning to Research and Researching to Learn covers all aspects of educational research, from how to conduct and engage with research, to how to collect, organise and analyse data. Using real-world examples and practitioner findings, the text encourages student and practitioner engagement through discussion questions and case studies relevant to educators in early childhood, primary and secondary contexts. Written by authors with extensive experience as both teachers and researchers, Learning to Research and Researching to Learn is an invaluable resource for educators in all stages of their professional careers.

Earn money and move your car around the board to be the first to complete your shopping in this interactive game from Scholastic Early Learners! An innovative, math-focused learning game complete with

Practice lowercase and uppercase letters and learn to form words with this exciting game from Scholastic Early Learners! An innovative, reading-focused learning game complete with QR-code guidance. Pr

My First Wipe Clean Words is an ideal introduction to first words.Its handle shape and bold, colorful design make it a fun learning tool, and the wipe clean pages mean children can practice pen contro

My First Play and Learn: Grocery Store is a fun first concepts board book with reusable play pieces!Preschoolers can take a trip around the store and learn about key early-learning topics such as colo

My First Play and Learn: Farm is a fun first concepts board book with reusable play pieces!Preschoolers can take a trip around the farm and learn about key early-learning topics such as colors, matchi

What can we learn from a teacher's journal about working with challenging youth? Why does the Training Room Program in German schools impede the development of an empowering learning culture? What exp

本書從Web基本概念和網站的規劃設計及建設方法入手, 著重介紹HTML、CSS、JavaScript和服務器端開發技術的基本原理和開發方法, 並對將來網站開發領域的方向進行了描述。全書內容在編排上由淺入深, 並輔以大量的實例進行說明。全書共分為7章, 內容包括WWW簡介、網站設計與網站運行環境配置、HTTP協議與HTML語言、層疊樣式表 (CSS)、JavaScript語言與客戶端開發、服務器端開

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from init

內容簡介:BuildSchool創辦人暨執行長吳典璋／資策會資深講師王淳平、林俊昌、蘇國鈞聯合推薦! 以前端技術框架Bootstrap為主，配合JavaScript、jQuery、jQueryMobile與Cordoav前端技術，並以實例教學方式由淺入深一步步帶領初學者運用Bootstrap快速打造行動優先的響應式網站，讓網站能依據不同裝置尺寸與瀏覽器自動調整成適合的內容與排版(RWD)，讓後端開發人員或網頁開發初學者能快速掌握前端技術，此外，可配合Cordova將網站轉換成行動裝置App，以達到讓瀏覽網站與App的使用者都能得到最佳的使用與瀏覽體驗。 *MTA試題增強版：新增流程控制、陣列、函式與物件...等最新試題。 *收錄微軟MTAJavaScript國際認證模擬試題，讓您除了擁有實作的能力，更擁有國際認證證明自己。 *易學：初學者可快速套用Bootstrap框架完成響應式網站前端網頁，按圖索驥，可以完整重現書中範例。並配合大量範例了解Bootstrap與JavaScript、jQuery與Cordova如何整合運用。 *易教：本書經過與初學者或開發人員試教，修改內容與作法，去蕪存菁，教師免備課。 *易懂：以圖文並茂方式逐步解說，易學易懂。

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for grad

When machine learning engineers work with data sets, they may find the results aren't as good as they need. Instead of improving the model or collecting more data, they can use the feature engineering process to help improve results by modifying the data's features to better capture the nature of the problem. This practical guide to feature engineering is an essential addition to any data scientist's or machine learning engineer's toolbox, providing new ideas on how to improve the performance of a machine learning solution. Beginning with the basic concepts and techniques, the text builds up to a unique cross-domain approach that spans data on graphs, texts, time series, and images, with fully worked out case studies. Key topics include binning, out-of-fold estimation, feature selection, dimensionality reduction, and encoding variable-length data. The full source code for the case studies is available on a companion website as Python Jupyter notebooks.

Mastering first grade reading and writing is fun and exciting with this book that combines language arts activities with puzzles and humor to lower the barriers to learning and build essential skills.

Mastering first grade phonics and spelling is fun and exciting with this book that combines language arts activities with puzzles and humor to lower the barriers to learning and build essential skills

Mastering second grade reading and writing is fun and exciting with this book that combines language arts activities with puzzles and humor to lower the barriers to learning and build essential skills

Mastering first grade addition is fun and exciting with this book that combines problem solving activities with puzzles and humor to reduce learning anxiety and build essential skills.Understanding ad

Mastering first grade subtraction skills is fun and exciting with this book that combines problem solving activities with puzzles and humor to reduce learning anxiety and build essential skills.Unders

Mastering second grade phonics and spelling is fun and exciting with this book that combines language arts activities with puzzles and humor to lower the barriers to learning and build essential skill

Mastering second grade addition skills is fun and exciting with this book that combines problem solving activities with puzzles and humor to reduce learning anxiety and build essential skills.Understa

Developed by the experts at Highlights(TM) who know how to combine learning and fun, Highlights(TM) Learning Fun Workbooks offer an integrated approach to skill building that uniquely blends age-appro

Developed by the experts at Highlights(TM) who know how to combine learning and fun, Highlights(TM) Learning Fun Workbooks offer an integrated approach to skill building that uniquely blends age-appro

Learning style tips and icons that show students multiple methods of learningPrinted, tear-out Flash Cards for every suffix, prefix, combining form, abbreviation, and pathology term in the book (Also

Far too often, our students attain only a superficial level of knowledge that fails to prepare them for deeper challenges in school and beyond. In Teaching for Deeper Learning, renowned educators and

Designed to accompany Wilkins’ Clinical Practice of the Dental Hygienist, Thirteenth Edition, this engaging active-learning workbook reinforces important concepts of the main text and provides hands-o

微軟推出的開源TypeScript語言是JavaScript的超集，引入了靜態類型和面向對象的若干特徵，可以分模塊構建易維護的JavaScript代碼。本書用於TypeScript 3.3.3入門，以構建大型可擴展的Web應用。本書分為10章，介紹TypeScript的基本類型、變量、運算符、數字和字符串，流程控制，數組、元組、迭代器和生成器，函數，常用的幾款工具，面向對象編程，泛型，聲明文件與項目配置，以及App實戰項目等。最後，給出TypeScript JSX的基礎內容作為參考。作者還為每章配備了課件與教學視頻，方便自學。本書內容詳盡、示例豐富，既適合TypeScript初學者及前端開發人員閱讀，也適合高等院校和培訓學校計算機相關專業的師生教學參考。

Developing Management Proficiency: A Self-Directed Learning Approach is a pragmatic, easy-to-follow roadmap for managers to help develop the behaviors and skills necessary for success. Strong behavi

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic

Written by educational researchers and professionals working with children and adolescents in and out of school, this book shows how self-regulation involves more than an isolated individual's ability to control their thoughts and feelings, particularly in a learning environment. By using Vygotsky's cultural-historical psychological theory, the authors provide a unique set of four analytical lenses for a better understanding of how self-regulation, co-regulation, and other-regulation function as a system of regulatory processes. These lenses move beyond a focus on solitary individuals, who self-regulate behavior, to centre on individuals as relational, agential, and contextually situated. As agents, teachers and their students build their learning contexts and are influenced by these self-engineered contexts. This is a dynamic perspective of a social context and underlies the view that regulatory processes are an integral part of a functional system for learning.

Both a serious academic text and an intriguing story, this seventh edition reflects a significant update in research, theory, and applications in all areas. It presents a comprehensive view of the historical development of learning theories from behaviorist through to cognitive models. The chapters also cover memory, motivation, social learning, machine learning, and artificial intelligence. The author's highly entertaining style clarifies concepts, emphasizes practical applications, and presents a thought-provoking, narrator-based commentary. The stage is given to Mrs Gribbin and her swashbuckling cat, who both lighten things up and supply much-needed detail. These two help to explore the importance of technology for simulating human cognitive processes and engage with current models of memory. They investigate developments in, and applications of, brain-based research and plunge into models in motivation theory, to name but a few of the adventures they embark upon in this textbook.

Both a serious academic text and an intriguing story, this seventh edition reflects a significant update in research, theory, and applications in all areas. It presents a comprehensive view of the historical development of learning theories from behaviorist through to cognitive models. The chapters also cover memory, motivation, social learning, machine learning, and artificial intelligence. The author's highly entertaining style clarifies concepts, emphasizes practical applications, and presents a thought-provoking, narrator-based commentary. The stage is given to Mrs Gribbin and her swashbuckling cat, who both lighten things up and supply much-needed detail. These two help to explore the importance of technology for simulating human cognitive processes and engage with current models of memory. They investigate developments in, and applications of, brain-based research and plunge into models in motivation theory, to name but a few of the adventures they embark upon in this textbook.

This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analysing various data sets, conclusions which are not nor

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for ad

Written by experts in comparative, developmental, social, cognitive and cultural psychology, this book introduces the novel concept of affective social learning to help explain why what matters to us, matters to us. In the same way that social learning describes how we observe other people's behaviour to learn how to use a particular object, affective social learning describes how we observe other people's emotions to learn how to value a particular object, person or event. As such, affective social learning conceptualises the transmission of value from a given culture to a given person and reveals why the things that are so important to us can be of no consequence at all to others.

Building on Handbook of Machine Learning - Volume 1: Foundation of Artificial Intelligence, this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like th