“…The genre’s potential to explore the human condition, including aspects of violence, gender, and the body, has sparked the interest of writers, readers, and scholars. …”

“…Harness the power of Python as you turn code into tangible creations with Python Playground, a collection of 15 inventive projects that will expand your programming horizons, spark your curiosity, and elevate your coding skills. …”

“…How did American independence spark activism in cities across the Atlantic? And how did these cities influence the development of modern democracy? …”

“…Pedagogical features include: Engaging breakout questions designed to spark lively discussion Leadership Challenge assignments and Minicases at the end of every chapter are to help students understand and apply the principles they have learned in the classroom Leadership, Innovation, and Technology boxes that simulate real-world challenges faced by salespeople and their managers Ethical Moment boxes in each chapter put students on the firing line of making ethical choices in sales Role-Play exercises at the end of each chapter, designed to enable students to learn by doing A comprehensive selection of updated and revised longer sales management case studies, in the book and on the companion website. …”

“…Screpanti's arguments are delivered with perspicuity and verve: this is a book that aims to spark a debate. He exposes ambiguities present in Marx's exposition of his own theory, especially when dealing with the employment contract and the notions of 'abstract labor' and 'labor value', and he argues that these ambiguities have given rise to misunderstandings in previous analyses of Marx's theory of exploitation. …”

“…With so much riding on innovation, creativity, and spark, it is essential to attract and retain quality talent-but what good does this talent do if no one is able to speak their mind? …”

“…Highly relevant to the growth crises many enterprises face in today's economic landscape, this book examines how to break barriers to spark creativity and foster new ideas. This insightful and informative work allows business executives, senior managers, and organization leaders to recognize the six organizational mindsets that impede creativity and innovation; learn how to tear down the barriers that obstruct the creative process; create an environment that allows talented people to thrive; and encourage creative collaboration in teams throughout an organization…”

“…As you read, you'll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You'll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyze it. about the technology Well-designed pipelines, storage systems, and APIs eliminate the complicated scaling and maintenance required with on-prem data centers. …”

“…Following this, you'll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. …”

“…Tackle the real-world complexities of modern machine learning with innovative, cutting-edge, techniques About This Book Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark Comprehensive practical solutions taking you into the future of machine learning Go a step further and integrate your machine learning projects with Hadoop Who This Book Is For This book has been created for data scientists who want to see machine learning in action and explore its real-world application. …”

“…You'll then find your way around different data and numerical problems, get to grips with Spark and HDFS, and set up migration s..…”

“…The book covers other technologies and frameworks like Apache Spark, Hive, Sqoop, and more, and how they can be used in conjunction with Hadoop. …”

“…The second module, Hadoop Real World Solutions Cookbook, 2nd edition, is an essential tutorial to effectively implement a big data warehouse in your business, where you get detailed practices on the latest technologies such as YARN and Spark. Big data has become a key basis of competition and the new waves of productivity growth. …”

“…You will get acquainted with popular deep and machine learning libraries for Java such as Deeplearning4j, Spark ML, and RankSys and you'll be able to use their features to build and deploy projects on distributed computing environments. …”

“…The book will then help you delve into creating a Spark pipeline in Watson Studio. You will also be guided through deep learning and neural network principles on the IBM Cloud using TensorFlow. …”

“…This book will also help big data engineers explore YARN integration with real-time analytics technologies such as Spark and Storm. What You Will Learn Explore YARN features and offerings Manage big data clusters efficiently using the YARN framework Create single as well as multi-node Hadoop-YARN clusters on Linux machines Understand YARN components and their administration Gain insights into application execution flow over a YARN cluster Write your own distributed application and execute it over YARN cluster Work with schedulers and queues for efficient scheduling of applications Integrate big data projects like Spark and Storm with YARN In Detail Today enterprises generate huge volumes of data. …”

“…Real-Time Cyber Threat Detection with Sqrrl and Spark Adam Fuchs (Sqrrl) Learn how to build a real-time anomaly detection system for cybersecurity that focuses on Advanced Persistent Threat (APT) and malicious insider scenarios, using Sqrrl Enterprise and the GraphX library included in Apache Spark. …”

“…The second part of the book takes you through designing streaming application using various frameworks and tools such as Apache Spark, Apache Storm, and more. Once you grasp the basics, we will take you through more advanced concepts in Apache Kafka such as capacity planning and security. …”

“…It includes Sandeep Uttamchandani's (Intuit) talk on the three patterns to best manage data dictionaries; Simona Meriam's (Nielsen) review of the best techniques to manage Spark-Kafka consumer offsets in a relational database; Guoqiong Song's (Intel) talk on LSTM-based time series anomaly detection using Analytics Zoo for Spark and BigDL; Wolff Dobson's (Google) update on TensorFlow's best practices; and a host of other talks covering the latest in data engineering and architecture; data science, machine learning and AI; data law and ethics; data streaming and Iot; and data visualization and UX. …”

“…Perform time series analysis using KNIME Analytics Platform, covering both statistical methods and machine learning-based methods Key Features Gain a solid understanding of time series analysis and its applications using KNIME Learn how to apply popular statistical and machine learning time series analysis techniques Integrate other tools such as Spark, H2O, and Keras with KNIME within the same application Book Description This book will take you on a practical journey, teaching you how to implement solutions for many use cases involving time series analysis techniques. …”