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Learning Solutions
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Book Synopsis The Mindup Curriculum - Grades Prek-2 by : Hawn Foundation
Download or read book The Mindup Curriculum - Grades Prek-2 written by Hawn Foundation and published by Scholastic Teaching Resources. This book was released on 2011 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to helping all learners focus and reach their potential through brain-centered management and teaching strategies! Includes a full-color, innovative teaching poster with fascinating facts about the brain!
Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth
Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Book Synopsis Learning Solutions by : Nathan Naparstek
Download or read book Learning Solutions written by Nathan Naparstek and published by IAP. This book was released on 2010-03-01 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Learning Solution is a practical guide for parents who want to improve their child’s academic situation in school. It is written by a practicing school psychologist to give parents effective strategies for making the most helpful and realistic choices for children experiencing difficulty with their schoolwork. The Learning Solution will provide parents with the skills needed to negotiate the education maze and teach them how to advocate for their child. Parents will also learn how build an effective cooperative relationship with their child at home. The Learning Solution has been updated to include a chapter on mental health issues currently impacting on children’s learning experiences in school. In addition, current information is provided on the medications used in the treatment of Attention Deficit Hyperactivity Disorder.
Book Synopsis Pyramid of Behavior Interventions by : Tom Hierck
Download or read book Pyramid of Behavior Interventions written by Tom Hierck and published by Solution Tree Press. This book was released on 2011-09-15 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Students thrive when educators commit to proactively meeting their behavioral as well as academic needs. This book will help teachers and school leaders transform the research on behavior, response to intervention, and professional learning communities into practical strategies they can use to create a school culture and classroom climates in which learning is primed to occur.
Book Synopsis The Machine Learning Solutions Architect Handbook by : David Ping
Download or read book The Machine Learning Solutions Architect Handbook written by David Ping and published by Packt Publishing Ltd. This book was released on 2022-01-21 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book DescriptionWhen equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one. You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learn Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models Who this book is for This book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You’ll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.
Book Synopsis Deeper Learning by : James A. Bellanca
Download or read book Deeper Learning written by James A. Bellanca and published by Solution Tree Press. This book was released on 2014-11-14 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Education authorities from around the globe explore deeper learning, a process that promotes higher-order thinking, reasoning, and problem solving to better educate students and prepare them for college and careers. Relying on research as well as their own experience, the authors show how to use intensive curriculum, instruction, assessment, and leadership practices to meet the needs of 21st century learners.
Book Synopsis Learning to Liberate by : Vajra Watson
Download or read book Learning to Liberate written by Vajra Watson and published by Routledge. This book was released on 2012-03-29 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Few problems in education are as pressing as the severe crisis in urban schools. Though educators have tried a wide range of remedies, dismal results persist. This is especially true for low-income youth of color, who drop out of school—and into incarceration—at extremely high rates. The dual calamity of underachievement in schools and violence in many communities across the country is often met with blame and cynicism, and with a host of hurtful and unproductive quick fixes: blaming educators, pitting schools against each other, turning solely to the private sector, and ratcheting up the pressure on teachers and students. But real change will not be possible until we shift our focus from finding fault to developing partnerships, from documenting problems to discovering solutions. Learning to Liberate does just that by presenting true and compelling community-based approaches to school reform. Drawing on over three years of ethnographic research, Vajra Watson explores the complicated process of reaching and teaching today's students. She reveals how four nontraditional educators successfully empower young people who have repeatedly been left behind. Using portraiture, a methodology rooted in vivid storytelling, Watson analyzes each educator's specific teaching tactics. Uncovering four distinct pedagogies—of communication, community, compassion, and commitment—she then pulls together their key strategies to create a theoretically grounded framework that is both useful and effective. A poignant, insightful, and practical analysis, Learning to Liberate is a timely resource for all educators and youth-serving practitioners who are committed to transforming "at-risk" youth into "at-promise" individuals who put their agency and potential into action in their schools and neighborhoods.
Book Synopsis Visual Design Solutions by : Connie Malamed
Download or read book Visual Design Solutions written by Connie Malamed and published by John Wiley & Sons. This book was released on 2015-03-31 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enhance learners' interest and understanding with visual design for instructional and information products No matter what medium you use to deliver content, if the visual design fails, the experience falls flat. Meaningful graphics and a compelling visual design supercharge instruction, training, and presentations, but this isn't easy to accomplish. Now you can conquer your design fears and knowledge gaps with Visual Design Solutions: a resource for learning professionals seeking to raise the bar on their graphics and visual design skills. This informal and friendly book guides you through the process and principles used by professional graphic designers. It also presents creative solutions and examples that you can start using right away. Anyone who envisions, designs, or creates instructional or informational graphics will benefit from the design strategies laid out in this comprehensive resource. Written by Connie Malamed, an art educator and instructional designer, this book will help you tap into your creativity, design with intention, and produce polished work. Whereas most graphic design books focus on logos, packaging, and brochures, Visual Design Solutions focuses on eLearning, presentations, and performance support. Visual Design Solutions includes practical guidelines for making smart design choices, ways to create professional-looking products, and principles for successful graphics that facilitate learning. Ideal for instructional designers, trainers, presenters, and professors who want to advance from haphazard to intentional design, this book will help them realize their design potential. Gain the knowledge and confidence to design impressive, effective visuals for learning Increase learner comprehension and retention with visual strategies offered by an expert author Serves as a reference and a resource, with a wealth of examples for inspiration and ideas Addresses an intimidating topic in an informal, friendly style In four parts, the book provides a thorough overview of the design process and design concepts; explores space, image, and typography; and presents workable solutions for your most persistent and puzzling design problems. Get started and begin creating captivating graphics for your learners.
Book Synopsis Designing and Developing Digital and Blended Learning Solutions by : Mark Loon
Download or read book Designing and Developing Digital and Blended Learning Solutions written by Mark Loon and published by Kogan Page Publishers. This book was released on 2017-07-03 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing and Developing Digital and Blended Learning Solutions is essential reading for anyone studying the Level 5 CIPD L&D module of the same name as well as all learning and development professionals looking to understand the growing role of technology in L&D. Covering both current and emerging learning technologies, this book will help readers assess which technologies are right for their needs. It also covers how to design blended learning solutions, how to develop digital learning content as well as how to evaluate the effectiveness of this digital content. Most importantly, Designing and Developing Digital and Blended Learning Solutions provides guidance on how to implement digital and blended learning solutions including identifying the appropriate platforms and the roles, tools and processes needed to support effective implementation. Full of practical examples and advice, this is an invaluable guide for students and practitioners alike.
Book Synopsis Culturally Responsive Teaching and The Brain by : Zaretta Hammond
Download or read book Culturally Responsive Teaching and The Brain written by Zaretta Hammond and published by Corwin Press. This book was released on 2014-11-13 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bold, brain-based teaching approach to culturally responsive instruction To close the achievement gap, diverse classrooms need a proven framework for optimizing student engagement. Culturally responsive instruction has shown promise, but many teachers have struggled with its implementation—until now. In this book, Zaretta Hammond draws on cutting-edge neuroscience research to offer an innovative approach for designing and implementing brain-compatible culturally responsive instruction. The book includes: Information on how one’s culture programs the brain to process data and affects learning relationships Ten “key moves” to build students’ learner operating systems and prepare them to become independent learners Prompts for action and valuable self-reflection
Book Synopsis Digital Tools and Solutions for Inquiry-Based STEM Learning by : Levin, Ilya
Download or read book Digital Tools and Solutions for Inquiry-Based STEM Learning written by Levin, Ilya and published by IGI Global. This book was released on 2017-03-31 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the digital age, the integration of technology has become a ubiquitous aspect of modern society. These advancements have significantly enhanced the field of education, allowing students to receive a better learning experience. Digital Tools and Solutions for Inquiry-Based STEM Learning is a comprehensive source of scholarly material on the transformation of science education classrooms through the application of technology. Including numerous perspectives on topics such as instructional design, social media, and scientific argumentation, this book is ideally designed for educators, graduate students, professionals, academics, and practitioners interested in the latest developments in the field of STEM education.
Book Synopsis Learning Solution-Focused Therapy by : Anne Bodmer Lutz, B.S.N., M.D.
Download or read book Learning Solution-Focused Therapy written by Anne Bodmer Lutz, B.S.N., M.D. and published by American Psychiatric Pub. This book was released on 2013-11-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solution-focused therapy is an evidenced-based practice that focuses on creating conversations that build solutions, rather than solve problems. Learning Solution-Focused Therapy: An Illustrated Guide teaches readers how to practice and become competent in conducting solution-focused therapy, an area of growing interest as the emphasis on brief therapy increases. Critical to the book's learning strategy is the generous use of case illustrations that are detailed, rich, and instructive without being overly didactic. The case approach provides an effective means for seeing concepts put into practice, and since medicine is becoming more patient-focused, the solution-focused therapy model is highly relevant. Organized to show how a solution-focused interview is conducted, the book presents the basic model and goes on to apply this model in psychopharmacology, addiction, supervision and consultation. Each chapter combines readings, solution-focused questions, case illustrations, learning exercises and video demonstrations (available online), which together constitute a comprehensive course in this therapeutic modality. Moreover, the author's conversational writing style makes the tenets and techniques accessible and interesting to a wide variety of clinicians. Learning Solution-Focused Therapy: An Illustrated Guide will appeal to clinicians who wish to enhance their skills and support their patients' growth in a positive way.
Book Synopsis Hands-On Unsupervised Learning Using Python by : Ankur A. Patel
Download or read book Hands-On Unsupervised Learning Using Python written by Ankur A. Patel and published by "O'Reilly Media, Inc.". This book was released on 2019-02-21 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started. Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning Set up and manage machine learning projects end-to-end Build an anomaly detection system to catch credit card fraud Clusters users into distinct and homogeneous groups Perform semisupervised learning Develop movie recommender systems using restricted Boltzmann machines Generate synthetic images using generative adversarial networks
Book Synopsis E-Learning Solutions on a Shoestring by : Jane Bozarth
Download or read book E-Learning Solutions on a Shoestring written by Jane Bozarth and published by John Wiley & Sons. This book was released on 2005-08-19 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is e-learning at your organization chronically underfunded? Discover how you can create workplace solutions with minimal budget in e-Learning Solutions on a Shoestring. Author Jane Bozarth, recognized as e-Learning Centre's October 2005 Pick of the Month, provides the nuts-and-bolts information you need to incorporate e-learning solutions at minimal cost. She offers myriad strategies for building from-scratch programs, recycling, reusing, and repurposing resources; negotiating reasonable expenses for "store bought" e-learning products; and incorporating real-world ideas for assembling tools, techniques, and strategies into workplace solutions.
Book Synopsis Applied Machine Learning Solutions with Python by : Siddhanta Bhatta
Download or read book Applied Machine Learning Solutions with Python written by Siddhanta Bhatta and published by BPB Publications. This book was released on 2021-08-31 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: A problem-focused guide for tackling industrial machine learning issues with methods and frameworks chosen by experts. KEY FEATURES ● Popular techniques for problem formulation, data collection, and data cleaning in machine learning. ● Comprehensive and useful machine learning tools such as MLFlow, Streamlit, and many more. ● Covers numerous machine learning libraries, including Tensorflow, FastAI, Scikit-Learn, Pandas, and Numpy. DESCRIPTION This book discusses how to apply machine learning to real-world problems by utilizing real-world data. In this book, you will investigate data sources, become acquainted with data pipelines, and practice how machine learning works through numerous examples and case studies. The book begins with high-level concepts and implementation (with code!) and progresses towards the real-world of ML systems. It briefly discusses various concepts of Statistics and Linear Algebra. You will learn how to formulate a problem, collect data, build a model, and tune it. You will learn about use cases for data analytics, computer vision, and natural language processing. You will also explore nonlinear architecture, thus enabling you to build models with multiple inputs and outputs. You will get trained on creating a machine learning profile, various machine learning libraries, Statistics, and FAST API. Throughout the book, you will use Python to experiment with machine learning libraries such as Tensorflow, Scikit-learn, Spacy, and FastAI. The book will help train our models on both Kaggle and our datasets. WHAT YOU WILL LEARN ● Construct a machine learning problem, evaluate the feasibility, and gather and clean data. ● Learn to explore data first, select, and train machine learning models. ● Fine-tune the chosen model, deploy, and monitor it in production. ● Discover popular models for data analytics, computer vision, and Natural Language Processing. ● Create a machine learning profile and contribute to the community. WHO THIS BOOK IS FOR This book caters to beginners in machine learning, software engineers, and students who want to gain a good understanding of machine learning concepts and create production-ready ML systems. This book assumes you have a beginner-level understanding of Python. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Problem Formulation in Machine Learning 3. Data Acquisition and Cleaning 4. Exploratory Data Analysis 5. Model Building and Tuning 6. Taking Our Model into Production 7. Data Analytics Use Case 8. Building a Custom Image Classifier from Scratch 9. Building a News Summarization App Using Transformers 10. Multiple Inputs and Multiple Output Models 11. Contributing to the Community 12. Creating Your Project 13. Crash Course in Numpy, Matplotlib, and Pandas 14. Crash Course in Linear Algebra and Statistics 15. Crash Course in FastAPI
Book Synopsis Best of The eLearning Guild's Learning Solutions by : Bill Brandon
Download or read book Best of The eLearning Guild's Learning Solutions written by Bill Brandon and published by John Wiley & Sons. This book was released on 2008-03-31 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Best of The eLearning Guild's Learning Solutions delivers expert content that e-Learning professionals worldwide have found to be indispensable. The book includes guidelines, checklists and instructions that will help you create solutions that result in real learning.
Book Synopsis Blended Learning Solutions in Higher Education by : Neil Hughes
Download or read book Blended Learning Solutions in Higher Education written by Neil Hughes and published by Taylor & Francis. This book was released on 2024-09-24 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blended Learning Solutions in Higher Education explores the origins, empirical foundations, and implementation of blended learning in colleges and universities. Since emerging as a third-way solution to traditional and virtual higher education models, blended learning has become a predominant learning modality in an era of rapid technological proliferation. Offering an alternative to longstanding yet flawed methodologies and assumptions about its validity, this book conceptualizes blended learning as a complex social practice mediated by knowledge, institutional rules, policies, and norms as well as material factors such as technology and physical spaces. The book’s original MIRACLE framework offers a research-grounded, highly practical guide to blended learning design, improvement, and long-term efficacy. From demystified history and heuristics to digitized platforms and course content to reimagined governance and regulations, these insights provide a thoughtful exemplar of blended learning’s challenges and affordances along with a firm basis for integrating face-to-face and online learning, teaching, and assessment innovatively and creatively.
