Get Ready for the Next Event. Look when it's starts
Washington Wizards vs. Atlanta Hawks
Cash, Visa, MasterCard, American Express, Discover Will Call tickets can be picked up anytime the Box Office is open, thru event start time. Customers must present the actual credit card used to place the order and a valid photo ID. General Information... 202-628-3200 Accessible Seating Only.. 202-661-5065 Box office is open on non-event days from 12pm-4pm (Monday-Friday); closed on non-event Saturdays and Sundays Box office is open on non-event days from 12pm-4pm (Monday-Friday); closed on non-event Saturdays and Sundays *Hours subject to change To better accommodate your needs, Capital One Arena has requested that all accessible seating ticket accommodations be solicited only through their representatives. Please contact a Capital One Arena representative for further help with your ticket purchase.* Advance ticket purchase may be required. * Box office information is subject to change.
read moreMonster Jam
Box Office accepts: Cash, Visa, MC, Discover, Amex. Accepted methods of payments vary by event. Orders are available for pick up the week of the event Tues-Fri 9am-5pm. Ticket Office is located on the SE corner of the stadium Lucas Oil Stadium Ticket Office: (317) 262-3389 Colts Ticket Office (317) 297-7000 Mon-Fri: 9:00am - 5:00pm Sat-Sun: Closed Event Days: Varies by individual event-call box office. Yes. Sold through the Stadium or Ticketmaster. Limited Seating. Elevators are available at this venue. Hearing devices are available upon request.
read moreData Science Schulung für Einsteiger
#KnowYourData In Unternehmen fallen heute täglich Unmengen an Daten an. Die große Herausforderung für Unternehmen besteht darin, diese Daten nicht einfach nur zu sammeln, sondern sinnvoll zu filtern und produktiv zu nutzen. Ziel muss es immer sein, neue Einsichten zu gewinnen und Entscheidungen und Prozesse zu optimieren. In dem eintägigen Seminar lernen Sie die wichtigsten Fachbegriffe rund um Daten kennen und erfahren, wie aus Daten Mehrwerte und datengetriebene Geschäftsmodelle entwickelt werden. Es wird ein Überblick über Use Cases, notwendige Skills und Technologien gegeben. Alle Aspekte werden anhand von Praxis-Beispielen und Best-Practices erklärt und das Vorgehen in einem echten Data Science Use Case wird anhand eines exemplarischen Data Science Use Case anschaulich erklärt. Nach der Absolvierung der Schulung sind die Teilnehmer mit den Grundlagen zu Data Science vertraut. Unsere erfahrenen Dozenten verfügen über mehrjährige Berufserfahrung in verschiedenen Branchen. Dadurch gewähren wir einen hohen Praxisbezug unserer Schulungen und Trainings. Die wichtigsten Inhalte der Data Science Schulung für Einsteiger Daten-Ära: Wieso sind Daten das Öl des 21. Jahrhunderts? Was ist unter Big Data zu verstehen? Welche Potentiale bietet Big Data? Begriffserklärung, Abgrenzung und Trends: Data Science Data Mining Statistik Machine Learning Artifical Intelligence Praktische Anwendung von Data Science anhand von Use Cases Die unterschiedlichen Skills eines Data Scientists, Data Analysten, Business Analysten und Data Engineers Der Data Science Prozess: die 4 Schritte des Datenkompasses: 1. Business Processes: Formulierung und Verstehen der Frage-/Problemstellung Anwendung etablierter Kreativitätstechniken und semantischer Analysen 2. Data Intelligence: Transformation zu einer datengetriebenen Fragestellung Identifikation relevanter Daten Datenaufbereitung und Datenexploration 3. Predictive Analytics: Analytische Modellierung des Problems zur Lösung Advanced Analytics Methodiken Modellauswahl Feature Engineering Trainieren & Testen des Modells 4. Insights Visualization: Zielgruppengerechte Präsentation der Ergebnisse Visualisierung der gewonnenen Erkenntnisse Real-life Beispiele: Herausforderungen & Best Practices bei der Use Case Umsetzung Data Science Toolkit: Überblick über Technologien Auswahlkriterien für das richtige Tool Zielgruppe & Voraussetzungen Zielgruppe Dieses Data Science Seminar richtet sich an alle Personen, die einen Überblick über die Möglichkeiten und Einsatzpotenziale von Data Science erhalten möchten. Dazu gehören Abteilungsleiter und Manager, aber auch Fachbereichs-Mitarbeiter, die einen Einstieg in Data Science suchen. Voraussetzungen Es sind keine Vorkenntnisse notwendig. Organisation Die Data Science Schulung findet von 10:00 Uhr bis 18:00 Uhr in München statt. Es gibt ein gemeinsames Mittagessen mit allen Seminarteilnehmern und dem Dozenten im Leib&Seele, das sich direkt neben dem Data Science Hub befindet. Hier haben Sie in entspannter Atmosphäre Gelegenheit, im gemeinsamen Gespräch mit dem Dozenten Themen und offene Fragen zu vertiefen. Die Teilnehmerzahl der Data Science Schulung ist auf 10 begrenzt, um Ihnen einen optimalen Lernerfolg zu ermöglichen. Ort Das eintägige Seminar findet in unserem Data Science Hub im Sapporobogen 6-8 in München statt. Mit den öffentlichen Verkehrsmitteln erreichen Sie uns innerhalb von 15 Minuten vom Hauptbahnhof. Gerne lassen wir Ihnen Hotelempfehlungen in der Nähe zukommen. Enthaltene Extras Im Preis ist neben dem eintägigen Seminar auch Verpflegungin Form eines Frühstückssnacks, eines gemeinsamen Mittagessens sowie Kaffee und Kuchen am Nachmittag enthalten. Im Seminar erhalten Sie ausführliche Schulungsunterlagen zur Nachbereitung und späteren Verwendung.
read moreWICKED (NY)
CashCheckAmExVisaMC Pick up tickets 1 hour prior to show. Customers must present the actual credit card used to place the order and a photo ID. (212) 586-6510 Monday - Wednesday 10am - 8pm Thursday - Saturday 10am - 8:30pm
read moreCrochet for Beginners (Private Class) - Register to arrange a date
In this 2 hour lesson, you will learn all the crocheting essentials: Where to buy yarns and crochet hooks in Singapore How to select yarns and crochet hooks How to read basic crochet patterns How to crochet common stitches How to crochet a flat circle How to correct common crocheting mistakes By the end of the lesson, you will definitely be able to crochet a scarf. All crocheting materials will be provided. If you have your own, feel free to bring them along. FAQs What is the minimum age requirement to attend this lesson? This lesson is suitable for anyone age 10 years and above. The lesson will be conducted in English. Where is the lesson venue? We will have it at a comfortable cafe that is convenient for both of us. You need not order anything if you don't want to. When will the lesson be? Generally, we are only available on: Weekday evenings, from 7.30pm to 9.30pm (Monday to Thursday only) Weekends, anytime between 8.30am to 9.00pm As this is a private lesson, after you purchase a ticket, we will get in touch with you via email to arrange a date and time that works out for both of us, so please ensure that you provide the correct email address when you make payment. How long is the lesson? The lesson is 2 hours long. Is this lesson suitable for me if I am left-handed? Crochet is a craft that mainly requires the use of your dominant hand (i.e. the hand that you use to write and do most things). The instructor is right-handed and will do all demonstrations the way a right-handed person will crochet. Some lefties are able to 'translate' or figure out how to do things with their left hand just by watching how right-handers do it. If this comes to you naturally, then yes, this course is suitable for you. Can I bring along a friend for this private class? Sure! You may bring along any number of friends so long as each friend has purchased a ticket. Can I bring my child along? If your child is learning to crochet together with you, you will need to purchase a ticket for your child. Can I bring my own crochet hook and yarn? Sure! And please bring along the paper label that came with your yarn, if you still have it.
read more2020 International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2020)
★2020 International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2020)-- Ei Compendex & Scopus—Call for paper July 17-19, 2020｜Seoul, South Korea｜Website: www.clnlp.org ★CLNLP 2020 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Computational Linguistics and Natural Language Processing can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Leading researchers and industry experts from around the globe will be presenting the latest studies through papers and oral presentations. ★Publication and Indexing All accepted papers will be published in the digital conference proceedings which will be sent to be Indexed by all major citation databases such as Ei Compendex, SCOPUS, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc. A selection of papers will be recommended to be published in international journals. ★Program Preview/ Program at a glance July 17: Registration + Icebreaker Reception July 18: Opening Ceremony+ KN Speech+ Technical Sessions July 19: Technical Sessions+ Half day tour/Lab tours ★Paper Submission 1.PDF version submit via CMT: https://cmt3.research.microsoft.com/CLNLP2020 2.Submit Via email directly to: clnlp@hksra.org ★CONTACT US Ms. Anna H. M. Wong Email: clnlp@hksra.org Website: www.clnlp.org
read moreHamilton (NY)
Cash, AmEx, Visa, MC Pick up tickets one hour prior to the show. Customers must present the actual credit card used to place the order and a photo ID. (212) 221-1211 Monday - Saturday 10am - 8pm Sunday 12pm - 6pm
read moreKings of Leon: Can We Please Have Fun
Hockey Season: Monday to Saturday: 12 pm to 6 pm Sunday: closed Until 9pm on event nights Summer Season (As of May 7th 2018): Closed Open at 12h00 on event days and for a period of 3 hours during on-sales for our events. *Schedule is subject to change without notice Accessible tickets are for patrons in wheelchair and their companion (1) only. To purchase wheelchair tickets, please contact our box office at 1-855-219-0576 or 1-877-668-8269.
read moreHamilton (Touring)
Visa, Mastercard, Discover, American Express, and Cash. No checks. WHEN: 2 hours prior to showtime WHERE: Will Call window - West side of building Customers must have actual credit card used to purchase the tickets, a photo ID and their Ticketmaster confirmation/order number. Box Office: (317) 231-0000 Due to the ongoing global pandemic, and to protect the health and safety of our guests and venue staff members, the box office will be open on-day-of-show only. If you’d like to purchase tickets, please visit us at www.livenation.com. If you’re looking to obtain a refund for a show that was either canceled, postponed or rescheduled, please visit us at www.livenation.com/refund for more information. We look forward to seeing you at our next show. Accessible Seating is available for purchase at the Box Office and all Ticketmaster points of purchase.
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