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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: 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: 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: 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: Jal Mehta
Publisher: Harvard University Press
ISBN: 0674988396
Category : Education
Languages : en
Pages : 465
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Book Description
"The best book on high school dynamics I have ever read."--Jay Mathews, Washington Post An award-winning professor and an accomplished educator take us beyond the hype of reform and inside some of America's most innovative classrooms to show what is working--and what isn't--in our schools. What would it take to transform industrial-era schools into modern organizations capable of supporting deep learning for all? Jal Mehta and Sarah Fine's quest to answer this question took them inside some of America's most innovative schools and classrooms--places where educators are rethinking both what and how students should learn. The story they tell is alternately discouraging and hopeful. Drawing on hundreds of hours of observations and interviews at thirty different schools, Mehta and Fine reveal that deeper learning is more often the exception than the rule. And yet they find pockets of powerful learning at almost every school, often in electives and extracurriculars as well as in a few mold-breaking academic courses. These spaces achieve depth, the authors argue, because they emphasize purpose and choice, cultivate community, and draw on powerful traditions of apprenticeship. These outliers suggest that it is difficult but possible for schools and classrooms to achieve the integrations that support deep learning: rigor with joy, precision with play, mastery with identity and creativity. This boldly humanistic book offers a rich account of what education can be. The first panoramic study of American public high schools since the 1980s, In Search of Deeper Learning lays out a new vision for American education--one that will set the agenda for schools of the future.
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: 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: Sarah Rose Cavanagh
Publisher: Hachette UK
ISBN: 1538713349
Category : Psychology
Languages : en
Pages : 304
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Book Description
At the crossroads between The Shallows and Presence, Hivemind is a provocative look at how communities can sync up around shared ideas, and how this hive mentality is contributing to today's polarized times. Hivemind: A collective consciousness in which we share consensus thoughts, emotions, and opinions; a phenomenon whereby a group of people function as if with a single mind. Our views of the world are shaped by the stories told by our self-selected communities. Whether seeking out groups that share our tastes, our faith, our heritage, or other interests, since the dawn of time we have taken comfort in defining ourselves through our social groups. But what happens when we only socialize with our chosen group, to the point that we lose the ability to connect to people who don't share our passions? What happens when our tribes merely confirm our world view, rather than expand it? We have always been a remarkably social species-our moods, ideas, and even our perceptions of reality synchronize without our conscious awareness. The advent of social media and smartphones has amplified these tendencies in ways that spell both promise and peril. Our hiveish natures benefit us in countless ways-combatting the mental and physical costs of loneliness, connecting us with collaborators and supporters, and exposing us to entertainment and information beyond what we can find in our literal backyards. But of course, there are also looming risks-echo chambers, political polarization, and conspiracy theories that have already begun to have deadly consequences. Leading a narrative journey from the site of the Charlottesville riots to the boardrooms of Facebook, considering such diverse topics as zombies, neuroscience, and honeybees, psychologist and emotion regulation specialist Sarah Rose Cavanagh leaves no stone unturned in her quest to understand how social technology is reshaping the way we socialize. It's not possible to turn back the clocks, and Cavanagh argues that there's no need to; instead, she presents a fully examined and thoughtful call to cut through our online tribalism, dial back our moral panic about screens and mental health, and shore up our sense of community. With compelling storytelling and shocking research, Hivemind is a must-read for anyone hoping to make sense of the dissonance around us.
Author: Aaron M. Pallas
Publisher: JHU Press
ISBN: 1421432943
Category : Education
Languages : en
Pages : 245
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Book Description
How what we know about K–12 education can revolutionize learning in college. Honorable Mention in the Foreword INDIES Award for Education by FOREWORD Reviews, Winner of the 2021 Bronze IPPY Award for Education II Amid the wide-ranging public debate about the future of higher education is a tension about the role of the faculty as instructors versus researchers and the role of teaching in the mission of a university. What is absent from that discourse is any clear understanding of what constitutes good teaching in college. In Convergent Teaching, masterful professors of education Aaron M. Pallas and Anna Neumann make the case that American higher education must hold fast to its core mission of fostering learning and growth for all people. Arguing that colleges and universities do this best through their teaching function, the book portrays teaching as a professional practice that teachers should actively hone. Drawing on rich research on K–12 classroom teaching, the authors develop the novel idea of convergent teaching, an approach that attends simultaneously to what students are learning and the personal, social, and cultural contexts shaping this process. Convergent teaching, they write, spurs teachers to join students' cognitions with the students' emotions and identities as they learn. Offering new ways to think about how college teachers can support and advance their students' learning of core disciplinary ideas, Pallas and Neumann outline targeted actions that campus administrators, public policy makers, and foundation leaders can take to propel such efforts. Vivid examples of instructors enacting three key principles—targeting, surfacing, and navigating—help bring the idea of convergent teaching to life. Full of research-based, practical ideas for better teaching and learning, Convergent Teaching presents numerous instances of successful campus-based initiatives. It also sets a bold agenda for disciplinary organizations, philanthropies, and the federal government to support teaching improvement. This book will challenge higher education students while motivating college administrators and faculty to enact change on their campuses.
Author: John J. Ratey
Publisher: Little, Brown Spark
ISBN: 0316113506
Category : Health & Fitness
Languages : en
Pages : 200
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Book Description
Bestselling author and renowned psychiatrist Dr. Ratey presents a groundbreaking and fascinating investigation into the transformative effects of exercise on the brain.
Author: Javier Luraschi
Publisher: "O'Reilly Media, Inc."
ISBN: 1492046329
Category : Computers
Languages : en
Pages : 296
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Book Description
If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions
