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This book provides educators with the skills, knowledge, and dispositions to put school data to work for improving teaching and learning;
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differences to teaching and learning. Appropriate for all those who are new to engaging with data, for those who may have little access to support;
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institutions to show evidence of student learning. From scholars at the National Institute for Learning Outcomes Assessment (NILOA), Using Evidence;
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This book offers a coherent research-based overview and analysis of theories and practices in using data to improve student learning. It;
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Guide: Learning from Data for Improvement delivers a practical blueprint for using available data to improve healthcare outcomes. In the book, a;
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Use ensemble learning techniques and models to improve your machine learning results. Ensemble Learning for AI Developers starts you at;
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Using Outdoor Learning to Improve Behaviour for All focuses on teachers, parents and carers working together and creating environments;
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learners. Contents include... Using data to improve student learning Advice for applying twenty-first century learning Tips for;
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learners. Contents include... Using data to improve student learning Advice for applying twenty-first century learning Tips for;
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Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;
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Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;
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data science algorithms using this guide Book DescriptionMachine learning applications are highly automated and self-modifying, and continue to;
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Get efficient in performing data mining and machine learning using IBM SPSS Modeler Key Features Learn how to apply machine learning;
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Using Outdoor Learning to Improve Behaviour for All focuses on teachers, parents and carers working together and creating environments;
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derive multiple benefits from educational data mining and learning analytics by using different data analytics strategies to produce summative;
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unsupervised machine learning models Who this book is forThis book is for beginners who work with data and those who need to know how to interpret;
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learning process of the student. Third, there are possibilities in using data analytics to measure the performance of instructors. Finally, for;
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improve, the learning process of the student. Third, there are possibilities in using data analytics to measure the performance of instructors;
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Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using;
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* Using machine learning to automate back office processes * Seven everyday business process projects * Using open source and cloud;
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This book is your step-by-step guide to learning OS X app development using CloudKit and Swift. All the development will be done using;
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and quantitative data. Easy-to-use templates, tools, and examples are available on the accompanying downloadable resources.;
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and quantitative data. Easy-to-use templates, tools, and examples are available on the accompanying downloadable resources.;
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deep learning using Mocha.jl and give speed and high performance to data analysis on large data sets Who This Book Is For This book;
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experimental account using machine learning techniques. It describes a novel method of automatic training data production using a biomedical ontology;
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with all your students, Learning to Teach Using ICT in the Secondary School is a vital source of support and inspiration for all training;
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activities to use with all your students, Learning to Teach Using ICT in the Secondary School is a vital source of support and inspiration for all;
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