The Spark Of Learning

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.

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

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

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

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.

The extraordinary memoir of a mother's love, commitment and nurturing, which allowed her son, originally diagnosed with severe autism, to flourish into a universally recognized genius--and how any parent can help their child find their spark. Today, at 13, Jacob is a paid researcher in quantum physics, working on extending Einstein's theory of relativity. Diagnosed at 1 with severe autism, at 3 he was assigned to life-skills classes and his parents were told to adjust their expectations. The goal: tying his own shoes at 16. Kristine's belief in the power of hope and the dazzling possibilities that can occur when we keep our minds open and learn to fuel a child's true potential changed everything.

"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.

Bestselling author and renowned psychiatrist Dr. Ratey presents a groundbreaking and fascinating investigation into the transformative effects of exercise on the brain.