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U2:UV Achtung Baby Live At Sphere - Reserved Seating

The London to Paris 24 Hour Sportive 2020 #L2P24

The London to Paris sportive is an epic cycling challenge between two of the world’s most iconic cities. The challenge is to cycle 300kms within 24 hours. Fully supported sportive. www.londontoparissportive.com Are you looking for a challenge to make 2020 a year you’ll never forget? If so, this event is for you. Calling everyday cyclists, club cyclists, commuters, weekend warriors and those looking to take their cycling to the next level. This iconic and truly epic cycling challenge will stretch you, yet it is totally achievable. Challenge yourself Ride with like-minded people Achieve something extraordinary Few things are as impressive as cycling from London to Paris in 24 hours on your weekend. For ultimate braggings rights, sign up here and join the adventure.   FAQs Can I book more than one ticket? Absolutely! We welcome all riders including groups, if you are booking more than one ticket you must provide contact details of all riders within your group by emailing sophie@challengesophie.com What's the refund policy? Unfortunately, refunds are not available after the 1st March 2020 Is it ok if the name on my ticket or registration doesn't match the person who attends? No, you must email us with any changes to the person attending sophie@challengesophie.com How can I contact the organiser with any questions? Please email me sophie@challengesophie.com  

Chicago Bulls vs. Charlotte Hornets

The United Center Box Office accepts Cash, Visa, MasterCard, American Express and Discover Card. Tickets held at Will Call can be picked up beginning 90 minutes prior to the start of the actual event. Must have valid photo ID and original method of payment (if applicable) to pick up will call. Name changes are not permitted. The United Center utilizes digital ticketing for all events. Tickets must be presented for entry on a mobile device. This includes season tickets, single game tickets or individual event tickets purchased online or forwarded by email or text through authorized outlets including Chicagoblackhawks.com, Chicagobulls.com, Unitedcenter.com, Ticketmaster.com or other United Center approved outlets. Mobile entry requires a valid, rotating SafeTix barcode or digital pass added to Apple or Android Wallet. Digitally altered or fraudulent tickets will not be accepted for entry (312) 455-4500 (312) 455-4509 (TTY) Monday-Friday, 11:00 a.m. until 6:00 p.m. Saturday, closed if no performance Sunday, closed if no performance *Hours subject to change depending on event schedules. *The United Center Box Office no longer opens for event public on-sales outside normal business hours Not only is the United Center designed to 100% ADA compliance, but each team member has been specifically trained in assisting our guests with special needs. Should you have any questions regarding the accessibility of the arena or for ticket information, please call Guest Relations at 312-455-4509 (TTY). Tickets in wheelchair accessible areas are available on all levels of the United Center, and the arena offers 100 disabled parking spaces located in parking Lot G off of Damen Avenue. All washrooms, restaurants, first aid station, seating areas, Cash Stations, box offices, Concession stands and drinking fountains are all wheelchair accessible.

Minnesota Timberwolves vs. Dallas Mavericks

Chulalongkorn Uni: Intro to Deep Learning with NVIDIA GPU in Computer Vision

A COLLABORATION WITH CHULALONGKORN UNIVERSITY Computer Vision - Workshop Dates: DEC 18 - 20 (3 days)   *OPEN FOR REGISTRATION Language of Conduct:Thai language & English Materials Course Fee:Regular Price : USD900 Early bird for corporate : USD600 (by July 1st , 2019)Early bird for academic : USD550 (by July 1st , 2019)Price EXCLUDES 7% VAT. Full price will be included in the ticket.  *Academic tickets MUST be purchased and proven with a EDU/University email!  HOW TO REGISTER: 1. To register directly with iTrain Asia, please email your details to info@itrainasia.com2. Via Eventbrite registration page*Please note that Eventbrite charges apply  PAYMENT METHODS: 1. Via Eventbrite by PayPal/Credit Card (please note that Eventbrite charges will apply) 2. To make direct payment transfer, please transfer to the following account and kindly SEND YOUR FULL NAME & RECEIPT upon successful payment:   Please key in the price  Please email your receipt/proof of payment to yana@itrainasia.com Pre-requisites Must have technical knowledge in R and Python, understand basic Data Science, Machine Learning and AI algorithms, familiarity with basic programming fundamentals such as functions and variables Your Certificate You will receive an e-Certificate by NVIDIA Deep Learning Institute upon completion. About the Course This workshop teaches you to apply deep learning techniques to a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to building and deploying deep learning applications for image classification and object detection, followed by modifying your neural networks to improve their accuracy and performance, and finish by implementing the workflow that you have learned on a final project. At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own. Learn the latest techniques on how to design, train, and deploy neural network-powered machine learning in your applications. You’ll explore widely used open-source frameworks and NVIDIA’s latest GPU-accelerated deep learning platforms.  DLI Workshop Attendee Instructions:  You MUST bring your own laptop to this workshop. WHAT YOU WILL LEARN Course Outline Introduction to Deep Learning with NVIDIA GPU in Computer Vision   3 days from 9AM - 4:30PM DAY 1 - (DEC 18, 2019) Platform: Keras on Google Colab Prerequisite: Python programming What is Deep Learning and what are Neural Networks? (90 mins) [Lecture] Basics of Deep Learning Training a Neural Network Practical session I (90 mins) [Lab] Create a Neural Network in Python Introduction to convolution neural networks and recurrent neural networks (90 mins) [Lecture] Intuition and building blocks Types of convolutional neural networks Types of recurrent neural networks Practical session II (60 mins) [Lab] Convolutional Neural Networks and Recurrent Neural Networks Tips and tricks to training a neural network model (30 mins) [Lecture] DAY 2 [DLI]  (DEC 19, 2019) Platform: DIGITS NVIDIA Deep Learning Institute Fundamentals Training Pre-requisite: MUST have technical background and basic understanding of Deep Learning concepts Certificate: Participants will receive an e-certificate from Deep Learning Institute Image Classification with DIGITS (120 min) How to leverage deep neural networks (DNN) within the deep learning workflow Process of data preparation, model definition, model training and troubleshooting, validation testing and strategies for improving model performance using GPUs. Train a DNN on your own image classification application Object Detection with DIGITS (120 min) Train and evaluate an image segmentation network Neutral Network Deployment with DIGITS and TensorRT (120 min) Uses a trained DNN to make predictions from new data Show different approaches to deploying a trained DNN for inference learn about the role of batch size in inference performance as well as virus optimisations that can be made in the inference process   DAY 3 (DEC 20, 2019)   Intelligent Video Analytics with Deep Learning Platform: Keras on Google Colab Prerequisite: Python programming & 1st training day Overview of Architectures for Computer Vision (90 min) Lab 1: Image classification with Keras (60 min)   Deployment with Deepstream and TensorRT (30 min) Lab 2: Deployment for classification and detection tasks (30 min)   Transfer learning techniques (30 min) Lab 3-1: Model adaptation (30 min) Lab 3-2: Advanced techniques for adaptation (30 min)   Video action recognition (15 min) Lab 4: Video action recognition (30 min) Jetson Demo: deployment on Jetson (15 min) ABOUT YOUR TRAINERS: PROF. EKAPOL CHUANGSUWANICH, Ph.D. Ekapol Chuangsuwanich is a Faculty Member in the Department of Computer Engineering at Chulalongkorn University. He received the B.S. and S.M. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2008 and 2009, respectively. He then joined the Spoken Language Systems Group at MIT Computer Science and Artificial Intelligence Laboratory. He received his Ph.D. degree in 2016 from MIT. His thesis work was on low-resource automatic speech recognition and representation learning using neural networks, which was part of the system that won Babel open keyword spotting challenge in 2016. With his expertise in multimedia retrieval, he is also one of the founding members of SmartVid.io, a startup working on organizing videos and images for the construction industry. In 2017, SmartVid.io was a runner-up in NVIDIA's Inception competition for AI startups. PROF. PEERAPON VATEEKUL, Ph.D. Peerapon Vateekul received his Ph.D. degree from Department of Electrical and Computer Engineering, University of Miami (UM), Coral Gables, FL, U.S.A. in 2012. Currently, he is an assistant professor at Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Thailand. Also, he is a deputy head of the department in academic affairs. His research falls in the domain of machine learning, data mining, deep learning, text mining, and big data analytics. To be more specific, his works include variants of classification (hierarchical multi-label classification), data quality management, and applied deep learning techniques in various domains, such as, medicinal images and videos, satellite images, meteorological data, and text.

JavaScript Online Training - NareshIT

We are providing Javascript online training in our institute NareshIT. We are having the best and well trained experienced faculty to train you the Javascript. By joining in this course you will get complete knowledge about Javascript. we are giving 100% guidance in placement for our students. JavaScript is a programming language commonly used in web development. It was originally developed by Netscape as a means to add dynamic and interactive elements to websites. Like server-side scripting languages, such as PHP and ASP, JavaScript code can be inserted anywhere within the HTML of a webpage. course objective : After completion of the JavaScript course at Naresh I technologies, you will be expertise and eligible for below : Web programming and developing the web site. Handling event using DOM – Document Object Model. Able to do the client side validation of forms. Use of Operators, Variable, Function and Object in JavaScript Animation of a Web page. Working with informational and data. Embedding with HTML. What does JavaScript do? JavaScript is a scripting or programming language that allows you to implement complex features on web pages — every time a web page does more than just sit there and display static information for you to look at — displaying timely content updates, interactive maps, animated 2D/3D graphics, scrolling video jukeboxes. Is JavaScript front end or backend? Basically JavaScript is a front end language. In recent years many frameworks are developed which uses JavaScript to do back end tasks. Node is is one of them which uses JavaScript to do back end programming. Why JavaScript is so popular? JS for Servers Server-side JavaScript gained popularity because it allowed for the scalability needed in cloud computing and the back-end. In the server, JavaScript can be integrated with other languages to communicate with databases. ... JS, or Node, is one of the most popular versions of server-side JavaScript. Why do I need JavaScript? All you need to do is put your code in the HTML document and tell the browser that it is JavaScript.JavaScript allows you to create highly responsive interfaces that improve the user experience and provide dynamic functionality, without having to wait for the server to react and show another page. Why is JavaScript so powerful? The reason being that JavaScript is a very powerful language.Javascript runs on the browser, means it doesn't affect the server performance. 4. Since it doesn't run on the server, but on the browser, the process can be more event driven. Is JavaScript good for Career? The most obvious reason for learning JavaScript is if you have hopes of becoming a web developer. Even if you haven't got your heart set on a tech career, being proficient in JavaScript will enable you to build websites from scratch a pretty useful skill to have in today's job market! Why we have to choose NareshIT? • Real Time Trainers • 100% Placement Assistance • Small Training Batch • Flexible Timings • Practical Guidance • Excellent Lab Facility • Resume Preparation • Hands on Experience • Certification Support For Details : • Email Id : onlinetraining@nareshit.com • Contact : +91 8179191999 • Website : https://nareshit.com/javascript-online-training/ • REGISTER HERE : https://goo.gl/HIB0wL

New York Knicks vs. Toronto Raptors

Cash, American Express, Visa, MasterCard, Discover. ATM machines are located in Chase Square. Pick-up tickets anytime the day of the show during box office hours (see above). Customers must present the actual credit card used to place the order and a picture ID. MSG cannot accept third party or “drop offs” from individual patrons. General Info: (212) 465-MSG1 (6741) or (212) 247-4777 Knicks Information: 1(877) NYK-DUNK. Rangers Fan Line: (212) 465-4459. Liberty Hotline: (212) 564-WNBA (9622). Season Subscriptions: (212) 465-6073. Disabled Services: (212) 465-6034 Guest Relations: (212) 465 - 6225 Group Sales: (212) 465-6100 Lost and Found: (212) 465-6299 Monday - Saturday: 10:00am to 6:00pm **Tickets are not on-sale at the Box Office on the first day an event goes on-sale** The Box Office will be open at 10:00am daily or 90 minutes before the 1st performance of the day, whichever is earlier and will stay open until 8:00pm or 30 minutes after the last performance of the day begins, whichever is later. Sunday – Closed If an event takes place on Sunday, Box Office will open 90 minutes before the event start time and remain open 1 hour after event start time for Will Call and tickets sales for the evening's event only. MSG WHEELCHAIR AND TRANSFER SEATING POLICY: Wheelchair and Transfer seating is reserved exclusively for patrons with accessible needs and their companions. Accessible seating is intended for use by an individual with a mobility disability or other disability who requires the accessible features of accessible seating due to a disability, and that individual's companions. Madison Square Garden (MSG) reserves the right to investigate potential misuse of accessible seating and to take all appropriate action against individuals who fraudulently obtain tickets for accessible seating. While tickets for accessible seating legitimately purchased for the use of an individual with disability may be transferred to another individual under the same terms and conditions applicable to other tickets, in the event such ticket is transferred to a non-disabled individual, MSG reserves the right to transfer that individual to other available seating TO ORDER WHEELCHAIR AND TRANSFER SEATING: Tickets for people with accessible needs, subject to availability, may be purchased in several ways: 1) Call Ticketmaster at 866-858-0008 2) Call MSG's Disabled Services Department at (212)465-6115. 3) Visit Madison Square Garden's Box Office (see box office hours above) 4) Order Online with Ticketmaster (select your event from the list to the left) For additional information regarding accessibility at Madison Square Garden or to request any other accommodations, please call MSG's Disabled Services Department at (212) 465-6115 any weekday between 9:30am-4:30pm ET. Service Animals Pets are not permitted at Madison Square Garden. MSG has very specific policies related to service and emotional support animals. Please visit www.thegarden.com to obtain more information for admitting your animal. Assistive listening devices (ALDAs) are available upon request. Please visit the Guest Experience Office across from section 117 for assistance. There is no charge for this service, however some form of identification will be requested and returned to you, once the device is checked back in. Wheelchair Storage: For patrons who wish to transfer to a seat from their wheelchair, we will store your mobility device at the Guest Experience Office. You will receive a claim check for your device. Wheelchair Escorts to Seats: Patrons with mobility impairments who do not have access to a wheelchair may request a wheelchair to transport the individual to/from their seat, free of charge. Please be aware that our personnel cannot remain with you during the event, nor will they allow you to remain in or keep the wheelchair for the duration of the event. In the event a patron requires the use of a wheelchair for the duration of the event, we recommend bringing your own wheelchair or other mobility device. The escort pick-up area is located on the South (toward 31st) side of Chase Square at elevator alcove. Please allow for extra so that you may be accommodated prior to the event start. Simply ask a Guest Experience Representative or a MSG Security Guard for assistance. Elevators: Public elevators are available for use by guests with disabilities and service every seating level

L'éclatement des pratiques dans les années 1960 et 1970

Conférence : L'éclatement des pratiques dans les années 1960 et 1970 Pour la saison 2019-2020, les conférences de Connaissance des Arts sont consacrées à l’Art moderne !   Rendez-vous dans l'Auditorium de Connaissance des Arts au 10, Boulevard de Grenelle Paris 75015 (métro Bir-Hakeim) de 18h30 à 20h00, le 23 mai 2019, pour assister à la conférence : L'éclatement des pratiques dans les années 1960 et 1970 - 25 juin 2020 Plus d'infos sur : www.connaissancedesarts.com/conferences Contact : web@cdesarts.com

Lean Six Sigma Black Belt

Dates:  Jan. 10, 11, 17, 18, 24, 25, 31, Feb. 1, 8, 9, 2020 Overview Lean Six Sigma is a two-stage approach which drives continual improvement in organizations and strives towards greater than 99% efficiency. Lean refers to maximizing customer value and minimizing the areas of waste in processes; creating enhanced customer satisfaction and less wasted resources. Six Sigma is the ongoing effort to continually reduce product and process variation through a defined project approach.  This is an 80-hour course that provides a structured approach in defining Six Sigma Project and measuring opportunities, robust problem solving, use statistical tests to measure and improve processes and tools to sustain performance. Course Outline ·         INTRODUCTIONo   Innovationo   Lean Six Sigma Green Belt Introductiono   What is Lean Six Sigma?·         DEFINE PHASEo   Voice of the Customero   Project Definitiono   Introduction to Process Mappingo   Identifying Quick Winso   Define Case Study·         MEASURE PHASEo   What to Measureo   Data Collection Plano   Operational Definitiono   Sampling Overviewo   Measurement System Analysiso   Concept of Stability & Normality·         MEASURE PHASEo   Statistical Summarizationo   Baseline Capability – Sigma Levelo   Measure Case Study·         ANALYZE PHASEo   Process Analysiso   Cause & Effect Diagramo   Pareto Analysiso   FMEAo   Hypothesis testingo   Correlation Analysiso   Regression Analysiso   Analyze Case Studyo   Box Plot Analysis·         IMPROVE PHASEo   Solution Identificationo   Implement Solutiono   Evaluate resultso   Improve Case Study·         CONTROL PHASEo   Standardize & Sustaino   Improvementso   Confirm Goal Attainmento   Project Closureo   Control Case Studyo   Final Test Who Should Attend -  Executives, Managers, Supervisors, Reports Analysts What Will I Learn A structured approach to opportunity identification and problem-solving Performance data collection, baselining and analytics Targeted interventions and improvement strategies A standard approach to sustain performance and best practices  How Will I Benefit Understand Lean Six Sigma Methodology and its application in your workplace Institutionalize usage of Lean Six Sigma Build a culture of excellence across the organization Improve bottom-line performance indicators

Chicago Blackhawks vs. Boston Bruins

The United Center Box Office accepts Cash, Visa, MasterCard, American Express and Discover Card. Tickets held at Will Call can be picked up beginning 90 minutes prior to the start of the actual event. E-TICKET /PRINT AT HOME & MOBILE TICKETING If you chose Print-at-Home as your delivery method, your tickets will be sent to the email address used at the time of purchase in the form of a .pdf and must be printed on paper in advance for entry. Print at Home tickets cannot scanned at the venue from a mobile device. Choosing mobile entry allows the convenience of using your smartphone as your game ticket. You no longer need to bring your physical tickets to the game. This includes season tickets and single game tickets purchased online or forwarded by email through authorized outlets including Chicagoblackhawks.com, Chicagobulls.com, ClickTix, Ticketmaster.com or other United Center approved outlets. Mobile entry requires a valid QR code. (312) 455-4500 (312) 455-4519 (TTY) Monday-Friday, 11:00 a.m. until 6:00 p.m. Saturday, closed if no performance Sunday, closed if no performance *Hours subject to change depending on event schedules. Not only is the United Center designed to 100% ADA compliance, but each team member has been specifically trained in assisting our guests with special needs. Should you have any questions regarding the accessibility of the arena or for ticket information, please call 312-455-4653 and ask for Guest Relations (312-455-4519 TTY). Tickets in wheelchair accessible areas are available on all levels of the United Center, and the arena offers 100 disabled parking spaces located in parking Lot G off of Damen Avenue. All washrooms, restaurants, first aid station, seating areas, Cash Stations, box offices, Concession stands and drinking fountains are all wheelchair accessible.

Sesame Street Live! Let's Party!

Cash, Visa, MasterCard, American Express and Discover General Information ...703-993-3000 Group Sales...202-661-5061 Mon-Thu 10am-7pm / Fri-Sat 10am-5:30pm Summer Hours (May – Aug) Mon-Sat 10am-5pm Accessible seating can be purchased online at ticketmaster.com or by calling the EagleBank Arena Box Office at 703-993-3035.