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.
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.
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.
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 155 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.
Download or read book Learning Management System Technologies and Software Solutions for Online Teaching Tools and Applications written by Kats, Yefim and published by IGI Global. This book was released on 2010-05-31 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book gives a general coverage of learning management systems followed by a comparative analysis of the particular LMS products, review of technologies supporting different aspect of educational process, and, the best practices and methodologies for LMS-supported course delivery"--Provided by publisher.
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
Download or read book Professional Learning Communities at Work written by Richard DuFour and published by Solution Tree. This book was released on 1998 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides specific information on how to transform schools into results-oriented professional learning communities, describing the best practices that have been used by schools nationwide.
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.
Download or read book Machine Learning Solutions written by Jalaj Thanaki and published by Packt Publishing Ltd. This book was released on 2018-04-27 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical, hands-on solutions in Python to overcome any problem in Machine Learning Key Features Master the advanced concepts, methodologies, and use cases of machine learning Build ML applications for analytics, NLP and computer vision domains Solve the most common problems in building machine learning models Book Description Machine learning (ML) helps you find hidden insights from your data without the need for explicit programming. This book is your key to solving any kind of ML problem you might come across in your job. You’ll encounter a set of simple to complex problems while building ML models, and you'll not only resolve these problems, but you’ll also learn how to build projects based on each problem, with a practical approach and easy-to-follow examples. The book includes a wide range of applications: from analytics and NLP, to computer vision domains. Some of the applications you will be working on include stock price prediction, a recommendation engine, building a chat-bot, a facial expression recognition system, and many more. The problem examples we cover include identifying the right algorithm for your dataset and use cases, creating and labeling datasets, getting enough clean data to carry out processing, identifying outliers, overftting datasets, hyperparameter tuning, and more. Here, you'll also learn to make more timely and accurate predictions. In addition, you'll deal with more advanced use cases, such as building a gaming bot, building an extractive summarization tool for medical documents, and you'll also tackle the problems faced while building an ML model. By the end of this book, you'll be able to fine-tune your models as per your needs to deliver maximum productivity. What you will learn Select the right algorithm to derive the best solution in ML domains Perform predictive analysis effciently using ML algorithms Predict stock prices using the stock index value Perform customer analytics for an e-commerce platform Build recommendation engines for various domains Build NLP applications for the health domain Build language generation applications using different NLP techniques Build computer vision applications such as facial emotion recognition Who this book is for This book is for the intermediate users such as machine learning engineers, data engineers, data scientists, and more, who want to solve simple to complex machine learning problems in their day-to-day work and build powerful and efficient machine learning models. A basic understanding of the machine learning concepts and some experience with Python programming is all you need to get started with this book.
Download or read book Radical Solutions and Learning Analytics written by Daniel Burgos and published by Springer Nature. This book was released on 2020-05-08 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the end user, being a student, a teacher, a manager or a persona in a different role, an instructional designer can design a way to produce a practical dashboard that helps him improve that very user’s performance, interaction, motivation or just grading. This book provides a thorough approach on how education, as such, from teaching to learning through management, is improved by a smart analysis of available data, making visible and useful behaviours, predictions and patterns that are hinder to the regular eye without the process of massive data.
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 311 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
Download or read book Design for how People Learn written by Julie Dirksen and published by New Riders. This book was released on 2011 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Products, technologies, and workplaces change so quickly today that everyone is continually learning. Many of us are also teaching, even when it's not in our job descriptions. Whether it's giving a presentation, writing documentation, or creating a website or blog, we need and want to share our knowledge with other people. But if you've ever fallen asleep over a boring textbook, or fast-forwarded through a tedious e-learning exercise, you know that creating a great learning experience is harder than it seems. In Design For How People Learn, you'll discover how to use the key principles behind learning, memory, and attention to create materials that enable your audience to both gain and retain the knowledge and skills you're sharing. Using accessible visual metaphors and concrete methods and examples, Design For How People Learn will teach you how to leverage the fundamental concepts of instructional design both to improve your own learning and to engage your audience.
Download or read book Getting Started written by Robert Eaker and published by Solution Tree Press. This book was released on 2009-11-01 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get answers to the most common question posed by educators seeking to build and sustain a PLC: Where do we begin? Access a solid conceptual framework and concrete illustrations of how schools operate when they are functioning as PLCs. Two case studies examine schools that have made the transformation, showcasing district- and curriculum-level efforts to focus on student learning.
Download or read book Learning by Doing written by Richard DuFour and published by Solution Tree. This book was released on 2020 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the third edition of Learning by Doing: A Handbook for Professional Learning Communities at Work®, authors Richard DuFour, Rebecca DuFour, Robert Eaker, Thomas W. Many, and Mike Mattos provide educators with a comprehensive, bestselling guide to transforming their schools into professional learning communities (PLCs). In this revised version, contributor and Canadian educator Karen Power has adapted the third edition for Canadian educators, emphasizing how Canadian educators can effectively improve learning for each student across their unique and widely diverse provinces and territories. Rewritten so that the scenarios, research, and language appropriately meet the needs of Canadian educators, this version is packed with real-world strategies and advice that will assist readers in transforming their school or district into a successful PLC.
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.
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
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.
