Tickets left at the box office for collection may be picked up on the day, during the hour before the performance starts. Please take the credit card used to make the booking and the Ticketmaster booking reference number as proof of purchase.
Ticketmaster UK: 0870 154 40 40, International: 00 44 161 385 3500
Monday - Saturday 10:00 - 18:00 and occasionally on Sunday.
Infra red hearing system with no deposit required. For special needs seating please call 0844 412 4648. Disabled toilet situated in the rear Stalls with ground level access There is no limit to the amount of Guide Dogs (within reason of course)
Cash; Check up to $100.00 w/Mass. Driver License; AMEX; Visa; MC; Discover; Diners Club
Pick up tickets starting 2 hours prior to event time. Customer must present the actual credit card used to place order and a photo I.D.
General Info Number:(617) 624-1000 Group Sales (only!): (617) 624-1805/1806 Bruins (617) 624-BEAR (Groups = 25+) Celtics (617) 523-3030 (Groups = 20+) Please do not contact Group Sales regarding sold out games!
TD Garden - Boston | Tickets, Schedule, Seating Chart, Directions (ticketmaster.com) The box office will open 2 hours prior to an event and remain open until one hour after the event begins. Please note the TD Garden Box Office does not sell tickets at the public on sale. All tickets should be purchased via www.ticketmaster.com *Hours subject to change
This is an accessible venue.
This 3-day course is held in CZECH and covers the software testing fundamentals, providing you with the necessary foundations for a software testing career. It is also useful for other IT professionals who wish to gain a knowledge of the terminology and processes of software testing.
This three-day course follows the ISTQB® Foundation Level syllabus (which can be downloaded free of charge from the ISTQB® website). Exam is not included in the price, it takes place several days after the course and we will be happy to assist you.
Contents of course:
1st day
- Fundamentals of testing (Why Testing is necessary?; What is testing?; Seven Testing Principles; Fundamental Test Process; The Psychology of Testing; Code of Ethics)
- Testing throughout the software lifecycle (Software Development Models; Test Levels; Test Types; Maintenance Testing) • Static Techniques part I. (Static Techniques and the Test Process; Review Process; Static Analysis by Tools)
2nd day
- Static Techniques part II. (Static Analysis by Tools)
- Test design techniques (The test development process; Categories of Test Design Techniques; Specification-based Techniques; Structure-based Techniques; Experience-based Techniques; Choosing Test Techniques) • Test Management part I. (Test Organization)
3rd day
- Test Management part II. (Test Planning and Estimation, Test Progress Monitoring and Control, Configuration Management, Risk and Testing, Incident Management)
- Tool support for testing (Types of Test Tools, Effective use of Tools:potential Benefits and Risks, Introducing a Tool into an Organization)
- Reviews
All courses start at 9:00 and finish at 18:00, except for the last day which will finish at around 16:00. There will be a 1-hour lunch break, and short breaks for refreshment at regular intervals.
412-642-1800
The Box Office will only be open on event days. Monday - Friday at 10am & Saturday - Sunday at 12pm. On an event day, the Box Office hours vary. Hours are subject to change as a result of event times, holidays or inclement weather. Please call 412-642-1800 for more information.
All major credit cards accepted.
You’ll need your booking reference number, a photo ID like a passport or driving licence, and the card used to buy your tickets. Only the credit card holder can collect tickets - letters of authorisation are not accepted.
0844 844 0444. Calls to 0844 numbers cost 7p per minute plus your phone company's access charge. If you're calling from overseas, it's 0044 161 425 8777. We're open 09:00-18:00 Monday to Friday and 10:00-16:00 Saturday and Sunday.
Box office is open on event days only, no later than 1 hour before doors open until approximately 15 mins after the main act goes on stage, on event days only. If tickets are left for collection after then, they’ll be left at Reception (Door One entrance).
Wembley Arena operates a dedicated disabled customer booking line. For all enquiries or to book tickets, please call 020 8782 5629 The accessible booking line is open Monday â  Friday (9am - 7pm) Saturday & Sunday (10am-6pm).
We are providing Python online training in our institute NareshIT. We are having the best and well trained experienced faculty to train you the python. By joining in this course you will get complete knowledge about python. we are giving 100% guidance in placement for our students.
Python is a high-level programming language designed to be easy to read and simple to implement. It is open source, which means it is free to use, even for commercial applications. ... Python is considered a scripting language, like Ruby or Perl and is often used for creating Web applications and dynamic Web content.
course objective :
After completion of the python online training at Naresh I technologies, you will be expertise and eligible for:
Complete knowledge on Python
Learn how to use lists, tuples, loops, decision statement, etc. in python
Build packages in Python
Working with Exception handling, Inheritance
Work independently in Project with scripting and Automation
What is Python and why Python?
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. ... Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.
What is Python theory?
Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace.
What is the main use of Python?
Python is a general purpose and high level programming language. You can use Python for developing desktop GUI applications, websites and web applications. Also, Python, as a high level programming language, allows you to focus on core functionality of the application by taking care of common programming tasks.
What is special about Python?
Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries. Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. ... Connect with our Python experts now!
Where is Python used in real life?
The programming language is used globally to design and build 2D imaging software like Inkscape, GIMP, Paint Shop Pro, and Scribus. Also, Python is used in several 3D animation packages such as Blender, Houdini, 3ds Max, Maya, Cinema 4D, and Lightwave, to name a few.
How is Python used in government?
Python is widely-used across financial institutions, whether they are hedge funds, large banks or regulators (see "Government Agencies" section below). ... Salaries and responsibilities vary widely based on the role and whether Python is used for data analysis, web application development or DevOps.
Why is Python so popular?
More Productive. First and foremost reason why Python is much popular because it is highly productive as compared to other programming languages like C++ and Java. ... Python is also very famous for its simple programming syntax, code readability and English-like commands that make coding in Python lot easier and efficient
What are the basic concepts of Python?
Basic Data Types - Learn the five types: strings, tuples, lists, dictionaries, and integers. Operators - Python operators - basically, ways to do things. Flow Control - By using Boolean expressions, flow control, and loops, you'll learn how to code logic into your program.
Will Python be used in the future?
Python itself reveals its success story and a promising future ahead. Python programming language is best used for application development, web application or web development, game development, system administration, scientific computing, etc.
What is the demand for Python programmers?
Python developers are in high demand - not only because the language is so popular and widely used but mostly due to the fact that Python became a solution in many different areas. From web applications to data science and machine learning. However, it is not enough to just master the language itself.
What does a Python developer do?
Python Developer writes server-side web applications when working as a Web Developer. They also develop various back-end components to connect the web application to web services and more. Basically, a Python Developer develops, deploys, and debugs a project.
Are Python developers in demand?
Python developers are in high demand - not only because the language is so popular and widely used but mostly due to the fact that Python became a solution in many different areas. From web applications to data science and machine learning.Surprisingly, that might be the easiest step in becoming a Python developer
How much does Python developer make?
The entry-level Python developer salary in the US is $78,176 a year on average, The average junior Python developer salary is $89,776, The mid-level Python developer salary reaches $$111,896, While the senior Python developer earns $122,093 on average.
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/python-online-training/
• REGISTER HERE : https://goo.gl/HIB0wL
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.
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.