“…Highlights include: Keynote speeches, including Eva Kaili (European Parliament) on data protection and innovation; Christine Foster (Alan Turing Institute) on building the data-driven future we want to live in; and Pierre Romera (ICIJ) on the challenges of sifting through 1.4 TB of data to produce journalism's headline generating "Paradise Papers" Sessions on Data Science and Machine Learning, including Jaya Mathew and Francesca Lazzeri (Microsoft) on using deep learning models for fraud detection; Ted Dunning (MapR Technologies) on AI Rendezvous technology; Paco Nathan (O'Reilly Media) and Ihab Ilyas (University of Waterloo) on HITL/human guided machine learning; Elisa Celis (EPFL) on fairness and diversity in online social systems; and David Talby (Pacific AI) on natural language understanding at scale with spaCy and Spark NLP Sessions on Data Engineering and Architecture, including Jim Webber (Neo4j) on Neo4j's new causal clustering architecture; Dean Wampler (Lightbend) on streaming microservices with Akka Streams and Kafka Streams; Flavio Junqueira (Dell EMC) on building stream pipelines with Pravega; and Jacques Nadeau (Dremio) on using Apache Arrow for high-speed data access The Strata Business Summit, including Executive Briefings on key issues such as predictive analytics and machine learning, Cloud strategy, governance security and privacy, and AI by luminaries such as Audrey Lobo-Pulo (The Australian Treasury), Kim Nilsson (Pivigo), Martin Goodson (Evolution AI), Simon Chan (Salesforce), and Ira Cohen (Anodot) FinData Day with sessions on using big da..…”

“…Hours of tutorials from the world's top data engineers, such as Francesca Lazzeri (Microsoft) and Holden Karau (Google) on training and deploying models with Kubeflow across different cloud vendors; Dean Wampler (Lightbend) on performing machine learning using Kafka-based streaming pipelines; and Jason Dai (Intel) on the Analytics Zoo, an analytics/AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline. …”

“…Coverage includes What IoT is and how it is transforming businesses Common IoT challenges, building blocks, and architectures Core IoT networking protocols, including the 802.15.4 and LPWA families Models for protecting security and integrity in IoT networks Simple, low-cost IoT networks for homes and small businesses IPv6 adaptations for low power and lossy IoT networks IoT management protocols, including CoAP, MQTT, and SCADA Moving processing to the edge and to the “fog” layer Using data analytics to maximize the value of IoT systems Analyzing IoT data with Hadoop, Kafka, Spark, and the Hadoop ecosystem Industry-specific techniques, smart objects, protocols, and analytic techniques IoT for utilities, the smart grid, and energy efficiency IoT for connected and self-driving cars, mass transit, and cargo transportation IoT for manufacturing: reducing cost and accelerating delivery IoT for smart and connected cities: lighting, parking, and public safety IoT for safer, more efficient oil/gas production and mining Skill Level All levels Learn How To Plan, organize, build, and deploy end-to-end IoT solutions Navigate today’s IoT product marketplace Use maturing IoT technologies to solve many business and technical problems Make sense of the full IoT protocol stack, from 802.15.4 and LPWA to IPv6 adaptations and management Archite..…”

“…In the Intro to Data Science videos, Paul lays the groundwork for later lessons in which he’ll introduce some of today’s most compelling, leading-edge computing technologies, including natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® WatsonTM, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, sentiment analysis through deep learning with recurrent neural networks, big data with Hadoop®, SparkTM streaming, NoSQL databases and the Internet of Things. …”

“…By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems.What you will learnUnderstand the important concepts in ML and data scienceUse Python to explore the world of data mining and analyticsScale up model training using varied data complexities with Apache SparkDelve deep into text analysis and NLP using Python libraries such NLTK and GensimSelect and build an ML model and evaluate and optimize its performanceImplement ML algorithms from scratch in Python, TensorFlow 2, PyTorch, and scikit-learnWho this book is forIf you’re a machine learning enthusiast, data analyst, or data engineer highly passionate about machine learning and want to begin working on machine learning assignments, this book is for you. …”

“…You'll get to see Evan Levy (SAS) describe the five essential components of a data strategy, Atul Dalmia (American Express) recount how Amex drove enterprise adoption of big data, and Tobi Bosede (John Hopkins) explain Apache Spark's usefulness in futures trading. And you'll also get privileged access to eleven "Executive Briefings" from top attorneys, like Alysa Hutnik (Kelley Drye & Warren LLP) on the best legal practices for making data work and top execs like Bill Schmarzo (Dell EMC) on how to properly determine the economic value of your business data. …”

“…Through these compelling narratives, their insights will spark conversations from dorm rooms to dining rooms to boardrooms…”

“…This forward- thinking book guides you through tomorrow's hottest trends to help you: Make an emotional connection to your customers Create a value-driven company that engages your employees Adjust your business strategy for a flatter, global marketplace Reward individual expression and spark a tribal spirit Identify future trends to build long-term success Jensen and Aaltonen's razor-sharp predictions offer a much-needed headsup--and a major head-start--for your future success. …”

“…Mulally applied the principles he developed at Boeing to streamline Ford's inefficient operations, force its fractious executives to work together as a team, and spark a product renaissance in Dearborn. He also convinced the United Auto Workers to join his fight for the soul of American manufacturing. …”

“…Good Example is Google AutoML 18:16 MLOps isn't data centric or model centric there is no silver bullet 21:52 MLOps use cases: Autonomous Driving is a good example 23:00 How to invest in technology: Primary and Secondary and Research 25:50 AWS and Azure are the leaders in the cloud 27:39 Secondary considerations: Splunk, Snowflake, BigQuery, Iguazio, etc 29:00 Leverage learning platform and metacognition 30:00 Key certifications 32:00 NFSOps is using managed file systems to build new cloud-native workflows 34:00 Kubernetes is the new gold standard for many distributed systems 35:00 Sagemaker has many use cases 36:21 Azure ML Studio 37:21 Google Vertex AI 37:48 Iguazio MLRun 41:00 Current issues in distributed systems 45:00 Apple Create ML Demo 51:00 Databricks Spark Clusters 57:00 MLFlow 01:00:37 What is DevOps? …”

“…In addition to the posters selected from the Call for Posters, eight contributions were invited to be presented as a poster because they sparked fruitful discussions among the reviewers and were deemed to be of great interest and relevance to the WebSci'19 community. …”

“…Coverage includes Planning high-level game design, components, and difficulty levels Using game loops to make sure the right events happen at the right time Rendering images, creating sprite sheets, and building basic animations Using tile maps to build large game worlds from small reusable images Creating fire, explosions, smoke, sparks, and other organic effects Delivering great sound via OpenAL and the iPhone’s media player Providing game control via iPhone’s touch and accelerometer features Crafting an effective, intuitive game interface Building game objects and entities and making them work properly Detecting collisions and ensuring the right response to them Polishing, testing, debugging, and performance-tuning your game Learning iOS Game Programming focuses on the features, concepts, and techniques you’ll use most often—and helps you master them in a real-world context. …”

“…In addition to the research paper presentations, ICER includes Lightning Talk and Poster sessions as a way for ICER attendees to present early results, gain feedback from conference attendees, find collaborators on a topic, and/or spark discussion among conference participants. The conference also serves a vital mentoring and advising role for upcoming discipline-based computing education researchers through the Doctoral Consortium. …”

“…He provides practical step-by-step tools for managing stress, dealing with difficult personalities, sparking self-motivation, and overcoming rejection. …”

“…This video series will help any network engineer successfully design wireless for real time applications and deploy common real time applications (Spark, Jabber, and Skype for Business) over Wi-Fi networks. …”

“…Each chapter of The Myths of Creativity debunks one erroneous assumption about the creative process: Chapter 1: The Sacred Myth: Creativity is not a distant inspiration given to a select few, but comes from within Chapter 2: The Breed Myth: Creativity is not a trait that only certain individuals hold and pass along Chapter 3: The Eureka Myth: Creative insight is not the sudden spark romanticized by stories of Newtons Apple or Archimedes bathtub, but involves a slow hunch Chapter 4: The Originality Myth: Most creative ideas are not unique or original, but are usually new combinations of older ideas. …”

“…Skills on platforms like Spark, Heron, and Kafka are in high demand. About the Book Grokking Streaming Systems introduces real-time event streaming applications in clear, reader-friendly language. …”

“…Laura Engelstein's monumental new history of the Russian Revolution brings to life the events that sparked and then fueled the revolution as it spread out across the vestiges of an entire empire--from St. …”

“…By the end of this book, you'll be able to improve your data science workflow with Optimus easily.What you will learn* Use over 100 data processing functions over columns and other string-like values* Reshape and pivot data to get the output in the required format* Find out how to plot histograms, frequency charts, scatter plots, box plots, and more* Connect Optimus with popular Python visualization libraries such as Plotly and Altair* Apply string clustering techniques to normalize strings* Discover functions to explore, fix, and remove poor quality data* Use advanced techniques to remove outliers from your data* Add engines and custom functions to clean, process, and merge dataWho this book is forThis book is for Python developers who want to explore, transform, and prepare big data for machine learning, analytics, and reporting using Optimus, a unified API to work with Pandas, Dask, cuDF, Dask-cuDF, Vaex, and Spark. Although not necessary, beginner-level knowledge of Python will be helpful. …”

“…This forward- thinking book guides you through tomorrow's hottest trends to help you: Make an emotional connection to your customers Create a value-driven company that engages your employees Adjust your business strategy for a flatter, global marketplace Reward individual expression and spark a tribal spirit Identify future trends to build long-term success Jensen and Aaltonen's razor-sharp predictions offer a much-needed headsup--and a major head-start--for your future success. …”