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Workshop Digital book download: Machine Learning with the Elastic Stack - Second Edition Date TBD Location TBD Speaker Name Speaker Title Here Company Name Here 00:00 AM Lorem Ipsum dolor sir amet Lorem Ipsum dolor sir amet. XX Month 2019 Topic Heading Heading 3. Lorem ipsum dolor sit amet, consectetur adipisicing. Empor commodo ullamcorper a Read more Text goes here X Speaker Name Speaker Title Here Company Name Here Paragraph-Small. Lorem ipsum dolor sit amet. Tempor commodo ullamcorper a lacus vestibulum. Et ultrices neque ornare aenean euismod elementum nisi quis. Volutpat consequat mauris nunc congue nisi vitae. Sed adipiscing diam donec adipiscing. Amet mattis 00:00 AM Lorem Ipsum dolor sir amet Lorem Ipsum dolor sir amet. Resource Link Products Products Learn Company Pricing Contact Text goes here X Try Free Text goes here X Login Text goes here X Virtual Book Club Digital book download: Machine Learning with the Elastic Stack - Second Edition Gain valuable insights from your data with Elastic Stack's machine learning features Date TBD Location TBD 00 Month, 00:00AM City, State Sign up now for your digital download First Name * Last Name * Email * Organization Name * Phone Number * Job Title * What is your current use case? * Observability (Logs, Metrics, APM, Uptime)Security (SIEM, Endpoint Security)Enterprise Search (Site Search, App Search, Workplace Search)Not presently using ElasticOther Observability (Logs, Metrics, APM, Uptime)Security (SIEM, Endpoint Security)Enterprise Search (Site Search, App Search, Workplace Search)Not presently using ElasticOther What stage are you in? * Just looking around (not downloaded)Installed but not developingDevelopingApplication in test / devIn production / live Just looking around (not downloaded)Installed but not developingDevelopingApplication in test / devIn production / live By submitting you (1) agree to Elastic's Terms of Service and Privacy Statement and (2) agree to receive occasional emails. Elastic reserves the right to deny registration to any participants whose presence is judged to be disruptive to the purpose of this virtual program. Submit Questions? Please contact Jennifer Campisi with any questions at jennifer.campisi@elastic.co. Seating is limited. Registration in advance is required. Questions? Please contact Janel Ureña with any questions at janel.urena@elastic.co. Questions? Please contact Eric Duong with any questions at eric.duong@elastic.co. Seating is limited. Registration in advance is required. Questions? Please contact Marie Asgharnia with any questions at marie@elastic.co. Seating is limited. Registration in advance is required. Questions? Please contact Mary Mikkleson with any questions at mary.mikkleson@elastic.co. Seating is limited. Registration in advance is required. Additional Resources Introduction To Elastic SIEM: Protect Your Organization With Stack Elastic Elasticsearch: Getting Started Data Frames (5min) Sign up to receive a digital download of "Machine Learning with the Elastic Stack - Second Edition." About this book The Elastic Stack, previously known as the ELK stack, is a log analysis solution that helps users ingest, process, and analyze search data effectively. With the addition of machine learning, a key commercial feature, the Elastic Stack makes this process even more efficient. This updated second edition of Machine Learning with the Elastic Stack provides a comprehensive overview of Elastic Stack's machine learning features for both time series data analysis as well as for classification, regression, and outlier detection. The book starts by explaining machine learning concepts in an intuitive way. You'll then perform time series analysis on different types of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you'll deploy machine learning within Elastic Stack for logging, security, and metrics. Finally, you'll discover how data frame analysis opens up a whole new set of use cases that machine learning can help you with. By the end of this Elastic Stack book, you'll have hands-on machine learning and Elastic Stack experience, along with the knowledge you need to incorporate machine learning in your distributed search and data analysis platform. Date Date TBD Location Location TBD Venue Name Street Address City, State Zipcode Weekday, 00 Month, Year 00:00am – 0:00pm Timezone Sign up to receive a digital download of "Machine Learning with the Elastic Stack - Second Edition." About this book The Elastic Stack, previously known as the ELK stack, is a log analysis solution that helps users ingest, process, and analyze search data effectively. With the addition of machine learning, a key commercial feature, the Elastic Stack makes this process even more efficient. This updated second edition of Machine Learning with the Elastic Stack provides a comprehensive overview of Elastic Stack's machine learning features for both time series data analysis as well as for classification, regression, and outlier detection. The book starts by explaining machine learning concepts in an intuitive way. You'll then perform time series analysis on different types of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you'll deploy machine learning within Elastic Stack for logging, security, and metrics. Finally, you'll discover how data frame analysis opens up a whole new set of use cases that machine learning can help you with. By the end of this Elastic Stack book, you'll have hands-on machine learning and Elastic Stack experience, along with the knowledge you need to incorporate machine learning in your distributed search and data analysis platform. Gain valuable insights from your data with Elastic Stack’s machine learning features Key Features * Combine machine learning with the analytic capabilities of Elastic Stack to uncover actionable insights from your data * Preprocess and analyze large volumes of search data effortlessly * Improve the performance of your Elastic Stack with external analytical tools What you will learn What you will learn * Install Elastic Stack to use machine learning features * Understand how Elastic machine learning is used to detect different types of anomalies * Apply effective anomaly detection to IT operations and security analytics * Explore Elastic machine learning for custom views, dashboards, and proactive alerting * Manage and administer your machine learning jobs on the Elasticsearch cluster * Learn various tips and tricks to get the most out of Elastic machine learning Discussion topics * Machine Learning for IT * Installing the Elastic Stack with Machine Learning * Event Change Detection * IT Operational Analytics and Root Cause Analysis * Security Analytics with Elastic Machine Learning * Alerting on ML Analysis * Using Elastic ML data in Kibana dashboards * Using Elastic ML with Kibana Canvas * Forecasting * ML Tips and Tricks Agenda 10:00 AM Creating an Elasticsearch cluster in Elastic Cloud (Lab 1) * Bullet point 10:30 AM Accessing your Strigo environment (Lab 2) * Bullet point 11:00 AM Preparing your credentials * Bullet point 12:00 PM Preparing your Ubuntu host * Bullet point 1:00 PM Installing and configuring Packetbeat (Lab 3) * Bullet point 2:00 PM Installing and configuring Auditbeat (Lab 4) * Bullet point 3:00 PM Viewing Elastic SIEM (Lab 5) * Bullet point Meet the book authors Rich Collier Senior Principal Solutions Architect Elastic Rich Collier is a solutions architect at Elastic. Joining the Elastic team from the Prelert acquisition, Rich has over 20 years of experience as a solutions architect and pre-sales systems engineer for software, hardware, and service-based solutions. Rich's technical specialties include big data analytics, machine learning, anomaly detection, threat detection, security operations, application performance management, web applications, and contact center technologies. Rich is based in Boston, Massachusetts. Camilla Montonen Senior MLE Elastic Camilla Montonen, author of “Machine Learning with the Elastic Stack” gives an overview of Elastic Machine Learning and how it is used for Data Frame Analysis. Bahaaldine Azarmi Director, Solutions Architecture Elastic Bahaaldine Azarmi, or Baha for short, is a solutions architect manager at Elastic. Prior to this position, Baha co-founded ReachFive, a marketing data platform focused on user behavior and social analytics. Baha also worked for different software vendors such as Talend and Oracle, where he held solutions architect and architect positions. Before Machine Learning with the Elastic Stack, Baha authored books including Learning Kibana 5.0, Scalable Big Data Architecture, and Talend for Big Data. Baha is based in Paris and has an MSc in computer science from Polytech’Paris. Hosted By The day we've all been waiting for The day we've all been waiting for The day we've all been waiting for The day we've all been waiting for The day we've all been waiting for Tin Salamunic is a host of exceptional ability. Studies show that a vast majority of guests attending events by Tin have been known to leave more elated than visitors to Santa's Workshop, The Lost of Continent of Atlantis, and the Fountain of Youth. Agenda 11:00 AM Preparing your credentials laboris nisi ut aliquip ex ea commodo 12:00 PM Preparing your Ubuntu host excepteur sint occaecat cupidatat non proident, sunt in culpa qui 1:00 PM Duis aute irure dolor in reprehenderit in voluptate velit esse cillum 2:00 PM Viewing Elastic SIEM (Lab 5) 3:00 PM Lorem ipsum dolor sit amet, consectetur consectetur adipiscing elit, sed do eiusmod tempor incididunt Related Workshops XX Month 2019 Topic Heading Heading 3. Lorem ipsum dolor sit amet, consectetur adipisicing. Empor commodo ullamcorper a Read more Text goes here X XX Month 2019 Topic Heading Heading 3. Lorem ipsum dolor sit amet, consectetur adipisicing. Empor commodo ullamcorper a Read more Text goes here X XX Month 2019 Topic Heading Heading 3. Lorem ipsum dolor sit amet, consectetur adipisicing. Empor commodo ullamcorper a Read more Text goes here X Elastic Home Elastic Home Contact Contact Blog Blog Community Community elastic.co elastic.co Contact Forums Email Preferences FOLLOW US Elasticsearch is a trademark of Elasticsearch B.V., registered in the U.S. and in other countries. Apache, Apache Lucene, Apache Hadoop, Hadoop, HDFS and the yellow elephant logo are trademarks of the Apache Software Foundation in the United States and/or other countries. Products Products Learn Company Pricing Contact Text goes here X Try Free Text goes here X Login Text goes here X Workshop Digital book download: Machine Learning with the Elastic Stack - Second Edition Meet the team behind Elasticsearch, Kibana, Beats & Logstash Date TBD Location TBD 00 Month, 00:00AM City, State [confirmation_headline] [confirmation_messaging] Add to Calendar Text goes here X Related Workshops CONTACT THE ORGANIZER Google Outlook iCal Yahoo RSVP Add to my Calendar * Google Outlook iCal Yahoo Press again to continue 0/1 Notice We and selected third parties use cookies or similar technologies for technical purposes and, with your consent, for other purposes as specified in the cookie policy. Denying consent may make related features unavailable. Learn more and customize RejectAccept