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Author: Bryan Goodwin
Publisher: ASCD
ISBN: 1416629122
Category : Education
Languages : en
Pages : 178
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Book Description
In far too many classrooms, the emphasis is on instructional strategies that teachers employ rather than on what students should be doing or thinking about as part of their learning. What's more, students' minds are something of a mysterious "black box" for most teachers, so when learning breaks down, they're not sure what went wrong or what to do differently to help students learn. It doesn't have to be this way. Learning That Sticks helps you look inside that black box. Bryan Goodwin and his coauthors unpack the cognitive science underlying research-supported learning strategies so you can sequence them into experiences that challenge, inspire, and engage your students. As a result, you'll learn to teach with more intentionality—understanding not just what to do but also when and why to do it. By way of an easy-to-use six-phase model of learning, this book * Analyzes how the brain reacts to, stores, and retrieves new information. * Helps you "zoom out" to understand the process of learning from beginning to end. * Helps you "zoom in" to see what's going on in students' minds during each phase. Learning may be complicated, but learning about learning doesn't have to be. And to that end, Learning That Sticks helps shine a light into all the black boxes in your classroom and make your practice the most powerful it can be. This product is a copublication of ASCD and McREL.
Author: Jules S. Damji
Publisher: O'Reilly Media
ISBN: 1492050016
Category : Computers
Languages : en
Pages : 400
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Book Description
Data is bigger, arrives faster, and comes in a variety of formats—and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, you’ll be able to: Learn Python, SQL, Scala, or Java high-level Structured APIs Understand Spark operations and SQL Engine Inspect, tune, and debug Spark operations with Spark configurations and Spark UI Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models using MLflow
Author: Sarah Rose Cavanagh
Publisher:
ISBN: 9781943665327
Category : Affective education
Languages : en
Pages : 0
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Book Description
Informed by psychology and neuroscience, Cavanagh argues that in order to capture students' attention, harness their working memory, bolster their long-term retention, and enhance their motivation, educators should consider the emotional impact of their teaching style and course design.
Author: Holden Karau
Publisher: "O'Reilly Media, Inc."
ISBN: 1449359051
Category : Computers
Languages : en
Pages : 289
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Book Description
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You’ll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell Leverage Spark’s powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib Use one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and Storm Learn how to deploy interactive, batch, and streaming applications Connect to data sources including HDFS, Hive, JSON, and S3 Master advanced topics like data partitioning and shared variables
Author: Bill Chambers
Publisher: "O'Reilly Media, Inc."
ISBN: 1491912294
Category : Computers
Languages : en
Pages : 594
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Book Description
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Sparkâ??s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasetsâ??Sparkâ??s core APIsâ??through worked examples Dive into Sparkâ??s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Sparkâ??s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation
Author: Ramsey Musallam
Publisher:
ISBN: 9781946444134
Category : Education
Languages : en
Pages : 166
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Book Description
Inspired by his popular TED Talk "3 Rules to Spark Learning," this book combines brain science research, proven teaching methods, and Ramsey's personal story to empower you to improve your students' learning experiences by inspiring inquiry and harnessing its benefits. If you want to engage students, this is the book for you.
Author: Bryan Goodwin
Publisher: ASCD
ISBN: 1416629122
Category : Education
Languages : en
Pages : 178
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Book Description
In far too many classrooms, the emphasis is on instructional strategies that teachers employ rather than on what students should be doing or thinking about as part of their learning. What's more, students' minds are something of a mysterious "black box" for most teachers, so when learning breaks down, they're not sure what went wrong or what to do differently to help students learn. It doesn't have to be this way. Learning That Sticks helps you look inside that black box. Bryan Goodwin and his coauthors unpack the cognitive science underlying research-supported learning strategies so you can sequence them into experiences that challenge, inspire, and engage your students. As a result, you'll learn to teach with more intentionality—understanding not just what to do but also when and why to do it. By way of an easy-to-use six-phase model of learning, this book * Analyzes how the brain reacts to, stores, and retrieves new information. * Helps you "zoom out" to understand the process of learning from beginning to end. * Helps you "zoom in" to see what's going on in students' minds during each phase. Learning may be complicated, but learning about learning doesn't have to be. And to that end, Learning That Sticks helps shine a light into all the black boxes in your classroom and make your practice the most powerful it can be. This product is a copublication of ASCD and McREL.
Author: Rajat Mehta
Publisher: Packt Publishing Ltd
ISBN: 1787282198
Category : Computers
Languages : en
Pages : 419
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Book Description
Learn the basics of analytics on big data using Java, machine learning and other big data tools About This Book Acquire real-world set of tools for building enterprise level data science applications Surpasses the barrier of other languages in data science and learn create useful object-oriented codes Extensive use of Java compliant big data tools like apache spark, Hadoop, etc. Who This Book Is For This book is for Java developers who are looking to perform data analysis in production environment. Those who wish to implement data analysis in their Big data applications will find this book helpful. What You Will Learn Start from simple analytic tasks on big data Get into more complex tasks with predictive analytics on big data using machine learning Learn real time analytic tasks Understand the concepts with examples and case studies Prepare and refine data for analysis Create charts in order to understand the data See various real-world datasets In Detail This book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset. This book is an end-to-end guide to implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into two sections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analytics on big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naive Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networks on big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world. Style and approach The approach of book is to deliver practical learning modules in manageable content. Each chapter is a self-contained unit of a concept in big data analytics. Book will step by step builds the competency in the area of big data analytics. Examples using real world case studies to give ideas of real applications and how to use the techniques mentioned. The examples and case studies will be shown using both theory and code.
Author: Shelley Pasnik
Publisher: Routledge
ISBN: 1351332074
Category : Education
Languages : en
Pages : 299
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Book Description
Getting Ready to Learn describes how educational media have and are continuing to play a role in meeting the learning needs of children, parents, and teachers. Based on years of meaningful data from the CPB-PBS Ready To Learn Initiative, chapters explore how to develop engaging, playful, and developmentally appropriate content. From Emmy-Award-winning series to randomized controlled trials, this book covers the media production, scholarly research and technological advances surrounding some of the country’s most beloved programming.
Author: Delores B. Lindsey
Publisher: Corwin Press
ISBN: 1452273006
Category : Education
Languages : en
Pages : 169
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Book Description
"Cultural proficiency challenges learning communities to go even deeper when inquiring about student barriers to success. This perspective is necessary to truly address the achievement and expectation gaps in our schools. Before we ask ourselves why our students are not succeeding, we must understand and examine our own perceptions and assumptions about them." —Timothy A. Bias, Administrator Pomona Unified School District, CA Close the achievement gap with equity-focused professional learning communities! Professional learning communities (PLCs) can be a powerful force for creating equitable, inclusive schools where all students succeed. Integrating the four Tools of Cultural Proficiency with the PLC framework, this relevant guide offers school leaders, district administrators, and staff developers a collaborative approach to address bias and inequity. Culturally Proficient Learning Communities discusses the impact of our history on cultural understanding and provides a wealth of practical PLC-building strategies—including assessment and inquiry-driven planning, instructional design, curriculum development, coaching, leadership, and shared decision making. The authors examine the goals, purpose, and process of creating and sustaining equity-focused PLCs through: Templates, protocols, activities, and rubrics for deconstructing inequity in student achievement Stories, tools, and thinking prompts to guide an inside-out transformation toward cultural proficiency An extended example of one school district′s journey in becoming a culturally proficient learning community Schools that view diversity and differences as assets and opportunities will experience stronger holistic growth and increased academic achievement!
Author: João M. F. Rodrigues
Publisher: Springer
ISBN: 3030227448
Category : Computers
Languages : en
Pages : 744
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Book Description
The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter “Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
