Get Ready for the Next Event. Look when it's starts

New York Knicks vs. Brooklyn Nets

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

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Online Webinar Social Selling for Managers

Marketing managers play a crucial role in the transition towards a more modern selling strategy. They are the best enablers, setting a standard for their employees and encouraging them to actively adopt social selling techniques. This webinar is designed to show managers why 90% of top marketing professionals are implementing social selling tools, why managers should embrace it and how to effectively implement a social selling strategy.The world is standing on the verge of a digital revolution and this digitalisation is rapidly changing the way we do business. As the information gap between buyer and seller is closing, the buyer’s journey changes, calling for an entirely new approach to selling. Social Selling is a tactic designed to identify where the buyers stand and influence them earlier in the buying cycle. Sellers who have mastered this tactic are proven to have more business opportunities, more connections with business decision makers and shorter closing times.  At Tricycle Europe, we support organizations worldwide through made-to-measure programs. With our effective and efficient solutions, we have established ourselves as digital coaching experts, assisting companies like Microsoft & Philips to excel in the art of Social Selling. We continue to cater to organizations through other services too, offering end-to-end sales support including demand-generation, compliance- and control and tool-based learning. We work with an international team of Social Selling Strategists, who frequently speak at variety of corporate events, educating sellers worldwide on how to leverage modern selling techniques. 

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Excel 2007 Advanced 1 Day Training in Seoul

Course  Overview: Knowing how to use the advanced features of Microsoft Excel 2007 opens a completely new experience in using this spreadsheet program. The novice user tends to use Excel 2007 as holding place for report data. They may know how to insert data and move columns around, but rarely go into the deeper functions that Excel 2007 offers. This workshop will teach the participants the most common advanced features of Microsoft Excel 2007. The goal of this course is to get them familiar with these functions in a safe learning environment. Once it is completed, their familiarity and confidence in using the advanced feature of Excel 2007 will increase, making Excel 2007 a more useful tool for everyone at work or at home. Target Audience: Anybody who is interested in learning Excel 2007 Advanced Learning Objectives: After completing this course, Individuals will be able to demonstrate their understanding of: Smart Art Inserting Objects Creating Charts Creating Pivot Tables Working with Pivot Tables Creating Pivot Charts Solving Formula Errors Using What-If Analysis Managing Your Data Grouping and Outlining Data Prerequisites: Basic Knowledge in Excel 2007 Course Materials: Attendees will receive a course manual with presentation slides and reference materials. Technical Requirements: For eBooks: Internet for downloading the eBook Laptop, tablet, Smartphone, eReader (No Kindle) Adobe DRM supported software (e.g. Digital Editions, Bluefire Reader) eBook download and activation instructions Agenda: Module One: SmartArt Inserting SmartArt An Overview of the SmartArt Tabs Adding Text to the Diagram Resizing and Moving the Diagram Resetting the Diagram Module Two: Inserting Objects About Contextual Tabs Adding Pictures from Your Computer Adding ClipArt Adding Text Boxes Drawing Shapes Module Three: Creating Charts Inserting a Chart Overview of the Chart Tools Tabs Understanding the Parts of a Chart Changing the Chart Style Resizing and Moving the Chart Module Four: Creating Pivot Tables Inserting a Pivot Table Overview of the Pivot Table Tools Tab Choosing Fields Module Five: Working with Pivot Tables Changing the Data Displayed Applying a Style to Your Pivot Table Some Real-life Examples Module Six: Creating Pivot Charts Creating a Pivot Chart from a Pivot Table Creating a Pivot Chart from Data Module Seven: Solving Formula Errors Using Named Ranges Understanding Formula Errors Tracing Dependents and Precedents Using the Trace Errors Commands Evaluating Formulas Module Eight: Using What-If Analysis Using Goal Seek Using the Scenario Manager Using a One Input Data Table Using a Two Input Data Table Module Nine: Managing Your Data Transposing Data from Rows to Columns Using the Text to Columns Feature Checking for Duplicates Creating Data Validation Rules Consolidating Data Module Ten: Grouping and Outlining Data Grouping Data Adding Subtotals Outlining Data Viewing Grouped and Outlined Data Module Eleven: Wrapping Up Words from the Wise Review of Parking Lot Lessons Learned Completion of Action Plans and Evaluations

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Denver Broncos vs. San Francisco 49ers

Cash, Visa, MC, Discover and American Express only. Photo ID is required for all events. Tickets will only be released to the person whose name is on the envelope. Note: Broncos half-price tickets are only available via mobile delivery. There is no will call for half-price tickets. (720)258-3333 Denver Outlaws Information: 720-258-3600 8:00am-5:00pm Monday - Friday 9:00-End of half time on Game Day ADA seating may be purchased via Ticketmaster at Ticketmaster.com or by calling 800-745-3000. Limit of 4 ADA seats per customer. For ADA assistance/inquiries, please call 720-258-3337.

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Shania Twain - Premium Package - Gallery Boxes

Ticket purchases can be made at this box office during opening hours. Payment by all major debit/credit cards is available. Pre-booked tickets can be collected on the day of the show from 4pm, up to 15 minutes after the main act goes on stage. Customers must take the credit card used to make the booking and the Ticketmaster reference number with them in order to collect the tickets. The cardholder will need to sign for the tickets. If you have any queries regarding box office collections, please contact Ticketmaster's customer services department. 0844 847 8000 The box office is situated on the Trinity Way link corridor next to the Arena Car Park entrance. This box office will be available from 4pm only on a show day and will close 15 minutes after the main act has gone onstage. Opening times will change for Box Office depending on the time of the show. Please check https://ao-arena.com/your-visit/ prior to attending the event to ensure you have the most current up to date information. AO Arena has been awarded GOLD status by Attitude is Everything, the disability-led charity with over 20 years' experience improving Accessible people's access to live music. Provisions have been made to cater for wheelchair users. Lifts have been installed and it is possible to enter the arena by the access link between Trinity Way and Victoria Station. The Hunts Bank entrance is accessible via external lift and access from the car park and Victoria Station is possible via the City Room. The second raised tier of seating (BLK 201 and above) requires the negotiation of steep steps and so may not be suitable for the elderly, infirm or those with mobility problems. Seating at the front of the upper tier is 35ft (10m) from ground, rising to 70ft (20m) at the rear. Please call 0161 950 5229 for further details.

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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.

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Hamilton (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

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