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WICKED (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

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.

CCC-Big Data Foundation 2 Days Virtual Live Training in Seoul

Course Description: The Big Data foundation course provides you with an understanding of Big Data, potential data sources that can be used for solving real business problems, and an overview of data mining and the tools used in it. This is a fundamental course with practical exercises designed to provide you with hands-on experience in using two of the most popular technologies in Big Data processing – Hadoop and MongoDB. You will get the opportunity to practice installing these two technologies through lab exercises. The exercises expose you to real-life Big Data technologies with the purpose of obtaining results from real datasets from Twitter. After completing the course, you will be equipped not only with fundamental Big Data knowledge, but will also be introduced to a working development environment containing Hadoop and MongoDB, installed by yourself. This practical knowledge can be used as a starting point in the organizational Big Data journey. Course Topics:  Module 1 : Course Introduction ●     Course Learning Objectives ●     Course Agenda ●     Activities ●     Exam ●     Course Book ●     Cloud Credential Council®(CCC) ●     Certification Value Module 2 : Big Data Fundamentals ●     Big Data – History, Overview, and Characteristics ●     Big Data Technologies – Overview ●     Big Data Success Stories ●     Big Data – Privacy and Ethics ●     Big Data Projects Module 3 : Big Data Sources ●     Enterprise Data Sources ●     Social Media Data Sources ●     Public Data Sources Module 4 : Data Mining – Concepts and Tools ●     Data Mining – Introduction ●     Data Mining – Tools Module 5 : Big Data Technologies – Hadoop ●     Hadoop Fundamentals ●     Install and Configure ●     MapReduce ●     Data Processing with Hadoop Module 6 : Big Data Technologies – MongoDB ●     MongoDB Fundamentals ●     Install and Configure ●     Document Databases ●     Data Modelling with Document Databases Module 7 : Exam Preparation Guide ●     Qualification Learning Objectives ●     Learning Level of the Syllabus ●     Certification ●     Exam Instructions ●     Tips for Exam Taking ●     Mock Exam Learning Goals:  ●     Big Data fundamentals ●     Big Data technologies ●     Big Data governance ●     Available sources of Big Data ●     Data Mining, its concepts and some of the tools used for Data Mining ●     Hadoop, including its concepts, how to install and configure it, the concepts behind MapReduce, and how Hadoop can be used in real life scenarios ●     MongoDB, including its concepts, how to install and configure it, the concepts behind document databases and how MongoDB can be used in real life scenarios Course Agenda: Day 1 ●     Course Introduction ●     Big Data Fundamentals ●     Big Data Sources ●     Data Mining – Concepts and Tools Day 2 ●     Big Data Technologies – Hadoop ●     Big Data Technologies – MongoDB ●     Exam Preparation Guide Who can Attend? This course is best suited to Information Technology professionals who possess intermediate to advanced programming, system administration, or relational database skills and are looking to move into the area of Big Data. These include: ●     Software Engineers ●     Application Developers ●     IT Architects ●     System administrators The course can also be of benefit to other professionals, such as business analytics and research analytics, who possess strong Information Technology skills and have a deep interest in Big Data analytics and the benefits it can bring to an organization.

U2:UV Achtung Baby Live At Sphere - Reserved Seating

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

Pittsburgh Penguins vs. Chicago Blackhawks

412-642-1800 During the Pittsburgh Penguins hockey season, the DICK'S Sporting Goods Box Office at PPG Paints Arena will be open: Monday – Friday, 10:00 AM – 5:00 PM and Saturday, 10:00 AM – 2:00 PM. Sundays that are event days will vary based on the event time but opening hours will always be 10:00 AM with the Box Office remaining open up through the start of the event.

Los Angeles Chargers vs. Cincinnati Bengals

Hamilton (Touring)

The Box Office accepts American Express, Visa, Mastercard, Discover,cash and checks with proper ID. Will Call tickets can be picked up one hour prior to show. Customer must present the actual credit card, a picture ID and the confirmation number. Box Office for Whitney Hall at The Kentucky Center: (502) 584-7777. PNC Bank Broadway in Louisville(502) 584-7469 extension 7237 The regular box office hours for The Kentucky Center are Monday-Saturday 10AM-6PM Sunday 12PM-5PM The Drive-Thru is open Mon-Fri 11AM-6PM. On performance dates, the box office will reamin open until 1/2 hour after the scheduled performance time. PNC Bank Broadway in Louisville Office hours: Monday through Friday from 9:00 am until 5:00 pm NOTE: A Broadway in Louisville representative will not be present at the Center until an hour prior to show time. For Accessible Seating for any Broadway Theatrical performance at The Kentucky Center , please call 502-584-7777 Accessible seating contact PNC Bank Broadway Series: (502) 584-7469 extension 7237

Disney On Ice presents Dream Big

American Express, Visa, Mastercard, Discover, Cash Located in the Box Office, near the corner of Mulberry Street and Edison Place. (973) 757-6000 The Prudential Center Box Office is located inside the arena near the corner of Mulberry Street and Edison Place. Guests can enter from the corner of Mulberry Street and Edison Place, next to the Investors Bank Tower. Box Office hours are 11AM to 6PM Monday-Friday and closed on Saturday and Sunday with the exception of weekend events, where the Box Office opens at 11AM. Please visit www.prucenter.com/box-office for more information. Accessible seating is available through Ticketmaster. Please call 800-877-7575 or visit ticketmaster.com to purchase accessible seating.

ASIST (Applied Suicide Intervention Skills Training) 8th&9th January 2020

This is a two day course held on Wednesday 8th and Thursday 9th January 2020.  Please note ASIST starts at 9am and finishes at 5pm.  Aims of the course The Applied Suicide Intervention Skills Training course is a nationally recognised course designed to help people learn how to recognise the signs of suicidal thoughts and how to intervene to prevent the immediate risk of suicide. The course covers personal attitudes, values and feelings about suicide. The course is designed to help all in communities to become more willing, ready and able to help persons at risk of suicide. Objectives of the course Participants will learn how to :  - Identify cues indicating risk of suicide - Discuss suicide with a person at risk  - Develop the skills to intervene with that person using the unique and effective ASIST suicide intervention model. - Provide ‘suicide first aid’. ASIST is delivered with up to 24 participants.  Comments from previous course participants....... " Taught me how to ask the suicide question and put me at ease" "All of it was excellent and after considerable trepidation, I found the role play/practice invaluable" "Made us feel very safe and supported in our role". Please note: ASIST is not suitable for those who are currently vulnerable and/or recently affected by issues relating to suicide. Trainers Simon Miller is the Choose Life Development Worker in Midlothian and works as part of Health in Mind's community services across Midlothian. Simon has many years’ experience of working in suicide prevention and mental health improvement. He has considerable experience of delivering training in this field to a wide range of participants. Brian Glass is a fully qualified trainer in Scotland’s Mental Health First Aid and the Living Works Suicide Prevention courses. He has delivered these courses for a number of years. As someone with lived experience of mental illness, his open, honest talk enhances the quality of each course. Terms and conditions This course is held in the Media Suite at Heart of Midlothian Football club at Tynecastle Stadium. Enter via the Main Stand reception off McCleod Street. Please note there is no car parking facilities, however there is free on street parking in surrounding areas.The venue is served well by LRT buses and there are many local cafes and shops for lunch. Tea, coffee will be served throughout the day. Training bookings on Eventbrite are paid for by credit or debit card using Visa, Mastercard or American Express.  If you need to cancel your booking and give more than 28 days’ notice, we will refund 50% of your fee.  If due to unforeseen circumstances we have to change the course date, and it is not suitable for you, we will refund 100% of the payment.

Choose Your Own IT (Service) Management Improvement Battles 4 Days Training in Seoul

Course Description: Do you want to improve the performance of your IT Management organization? Is the business dissatisfied with your services? Do your team members need an energy boost? Could your way of work be improved?  Improvement initiatives often fail because people bite off more than they can chew. During a workshop they identify various improvement initiatives and genuinely want to tackle them, but then get bogged down in their day job. Their initial enthusiasm turns sour, with people feeling guilty that they haven’t been able to perform as expected, or blaming their managers for getting them into this mess. No wonder that future improvement initiatives are regarded with some “there we go again” cynicism. The ‘choose your own battles’ approach avoids this major pitfall by only selecting initiatives that the participants consider really worthwhile, and honestly assessing both their practical capabilities to execute and the possibilities and limitations of the organizational ecosystem.  Course Topics: Kick-off and introduction ●     Kick-off by client to set the scene ●     Introduction by each participant, with background, expectations, issues and mottos Presentation of frame of reference for the clients’ specific IT services ●     Presentation of the ‘big IT picture’ model as a frame of reference ●     Interactive creation of a high-level Assesment of the IT function, based on the big IT picture model ●     Presentation of a ‘framework of frameworks’, to position many common industry Practices ●     High-level presentation of some relevant frameworks or standards that may be useful when discussing the quick scan results ●     Presentation about how to ‘implement’ frameworks effectively ●     Presentation of the IT value circle on which the quick scan is based Discussion of similarities and differences in quick scan findings ●     Presentation of compiled quick scan results ●     Discussion of high-level similarities and differences ●     Presentation of a way to assess the value of potential improvement items Identification and qualification of potential improvement items ●     Discussion about each quick scan item and identification of potential improvement items, including provisional ranking of value, resulting in a list of potential improvement items Ranking of potential improvement items ●     Discussion about the relative value of each potential improvement item, resulting in an updated list with value scores Assesment of feasibility of improvement items and division of items into quick wins and longer term improvement areas ●     Presentation of Covey’s Circles as a way of identifying which improvements are feasible and which are a ‘mission impossible’ ●     Discussion about the feasibility of each potential improvement item, resulting in an updated list with feasibility scores Identification of ‘improvement ambassadors’ ●     Enlistment of volunteers to undertake improvements Provisional planning of improvement activities ●     Provisional planning of the quick wins and high priority potential improvement items ●     Discussion about how to keep the improvement wheel turning  Learning Goals: ●     Individuals certified at this level will have demonstrated their understanding of: ●     How to assess the ‘health’ of their current way of working ●     How to identify specific improvement items that are worth improving ●     How to assess the feasibility of successfully executing these improvement items  Course Agenda: Pre-Course ●     Each participant fills in the quick scan Assesment and returns this to the facilitator 1 week before the first session First day ●     Kick-off and introduction ●     Presentation of frame of reference for the client’s specific IT services ●     Discussion of similarities and differences in quick scan findings ●     Identification and qualification of potential improvement items Intermediate days ●     Identification and qualification of more potential improvement items Last day ●     Ranking of potential improvement items ●     Assesment of feasibility of improvement items and division of items into quick wins and longer term improvement areas ●     Identification of ‘improvement ambassadors’ ●     Provisional planning of improvement activities  Who can Attend? This workshop is for heads of IT Management departments who are struggling with their Application Management and/or IT Service Management services. Their concerns might be caused by problems with relationships with their business and IT partners, Processes, staff knowledge/skills/motivation, tools etc. The issues could be strategic, managerial or operational.  The workshop participants are the head of the department plus (a selection of) his or her co-workers, up to a recommended maximum of 15 per workshop, which could be stretched to 20 participants. Larger departments would be spread across multiple workshops