“…Without any expensive training or previous experience, this book provides quick, easy, and effective activities for new teams to spark creativity, deal with change, improve communication, and much more…”

“…Clinton's article served as a spark for renewed interest in the nation's Asi…”

“…Engaging and accessible, this bold, provocative book is destined to spark significant discussion and debate in audiences including advanced undergraduates, postgraduates, and professionals in the field of psychology with interests in theoretical and philosophical psychology"--…”

“…Creative 52 is that spark–and your guide to a new and more creative portfolio in just one year! …”

“…Topics include: Using Spark Component Text Layout Framework Groups and Layout Spark List and ItemRenderer Images, bitmaps, videos, and sounds CSS, styling, and skinning States and Effects Working with Collections Using DataBinding Validation, formatting, and regular expressions Using Charts Services and Data Access Using RSLs and Modules Working with Adobe AIR 2.0…”

“…Part three explores theories that explain why Ford's movies have sparked such interest, debate, and enjoyment among Hollywood film critics and the cinema community…”

“…"The Metaverse Economy will provide people or organizations with a guide to jump into this complex, fast-moving universe to spark a revelation that brands and businesses may lead to newfound revenue and consumer engagement in the medium with the potential to define a generation. …”

“…This course teaches software engineers and data scientists how to build intelligent natural language understanding (NLU) based text mining systems at scale using Java, Scala, and Spark for distributed processing. Learn the meaning of natural language understanding (NLU) and its use in text mining Discover how to build a natural language processing (NLP) pipeline within a big data framework Recognize the differences between NLP pipelines and other approaches to semantic text mining Learn about standard UIMA annotators, custom annotators, and machine learned annotators Discover how different types of annotators are composed into a text processing pipeline Use machine learning to generate annotators and apply them within a data pipeline See pipeline architectures that incorporate Kafka, Spark, SparkSQL, Cassandra, and ElasticSearch David Talby (PhD , Computer Science, Hebrew University) and Claudio Branzan (Masters, Industrial Intelligent Systems, Polytechnic University of Timișoara) work for big data analytics firm Atigeo. …”

“…Italy's officially joining the China-led Belt and Road Initiative sparked a fierce debate. By analysing five fields of cooperation, the volume sheds light on whether the bilateral agreement has brought about an intensification of bilateral collaboration as wished by the Italian government at the time and whether the concerns around it have materialised. …”

“…When left unchecked, emotions can skew judgment, spark conflict, or lead to impulsive choices; when they’re harnessed correctly, however, they can inspire and motivate teams and enable them to thrive. …”

“…Authors include Edmund Wilson, Vladimir Nabokov, Franz Kafka, Muriel Spark, Anne Tyler, Italo Calvino, Henry Green, Robert Pinget, L.E. …”

“…How about streaming analytics at 300 billion events per day with Kafka, Samza, and Druid or using Spark and Hadoop in high-speed trading environments? …”

“…The second section deals with applications of biodiesel fuel in compression-ignition and spark-ignition engines. The information contained herein is useful for scientists and students looking to broaden their knowledge of internal combustion engine technologies and applications of biodiesel fuel…”

“…Innovate quickly and save money with AWS’s on-demand, serverless, and cloud-managed services Implement open source technologies such as Kubeflow, Kubernetes, TensorFlow, and Apache Spark on AWS Build and deploy an end-to-end, continuous ML pipeline with the AWS data science stack Perform advanced analytics on at-rest and streaming data with AWS and Spark Integrate streaming data into your ML pipeline for continuous delivery of ML models using AWS and Apache Kafka…”

“…Finally, the recommender system in PySpark explains how to optimize models for a specific application. …”

“…We will also cover the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python. Style and Approach This efficient and practical title is stuffed full of the techniques, tips and tools you need to ensure your large scale Python machine learning runs swiftly and seamlessly. …”

“…Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes Key Features Make sense of data on the cloud by implementing advanced analytics Train and optimize advanced deep learning models efficiently on Spark using Azure Databricks Deploy machine learning models for batch and real-time scoring with Azure Kubernetes Service (AKS) Book Description The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. …”

“…Recent research shows that collaboration and social networking foster knowledge sharing and innovation by sparking new connections, ideas, and practices. Yet these informal networks are often misunderstood and poorly managed. …”

“…Trading Catalysts will help readers anticipate potential events that could spark rallies or breaks; predict situations with feedback loops that drive markets up or down; and identify situations where substantial overreactions are likely to occur."…”

“…The artworks at the new building sparked strong controversy in the Faculty. Two members of the Faculty, who found themselves to be in disagreement on some of the issues raised in this debate, set out their views during the Arts and Reconciliation Festival and Conference at the University of Pretoria in 16 March 2005. …”