Meet face to face with recruiters and hiring managers to apply for positions in:
Sales
Management
Government
Customer Service/Call Center
Insurance
Banking/Financial Services
Healthcare
Education
IT/Engineering
Retail.....and more
The career fair starts at 9:30 AM and professional dress is strongly recommended. This job fair is free to job seekers and allows you to connect face to face with top employers.
A list of the attending employers and open positions will be sent to all registered candidates the week before the career fair.
To apply directly to open positions please register here: http://talentcareerfairs.com/candidates/
We are looking forward to seeing you there!
Recruitment Services
Talent Career Fairs.
800-201-3873
For the sixth edition of Carnival in Love Grand Ball, i will bring you in a fairy tale...
Sourronded by fantastic characters, you will live the emotion of a Venetian fantasy tale.
Palazzo Contarini della Porta di Ferro will open like a book...the magic of Carnival will wrap you, and you will be the main character of your own story.
Give me you hand, and enter with me the Nuit Enchantée.
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.
Cash, Visa, Mastercard, American Express, Discover, money order, check (no checks accepted within 10 business days of an event)
Located at dedicated Will Call windows at venue box office. Tickets available for purchase beginning 2 hours prior to event. PLEASE BRING A PICTURE ID, THE ACTUAL CREDIT CARD USED TO PURCHASE THE TICKETS, AND YOUR ORDER NUMBER.
919-861-2300 Event Line 919-861-2323 Box Office
Mon-Fri 10am-6pm Sat 12pm-4pm Sun closed unless event is taking place, details below. Summer hours: Monday through Friday 12pm-5pm Will open at 10am if an onsale is scheduled. Closed Saturday and Sunday normally Only open on a Saturday or Sunday if an event or on sale is scheduled. Saturday morning on-sale schedule will be 10am - 1pm. On event days the box office will be open through the start of the event. On event Sundays it will be open 12pm through the start of the event. Box office is located at south end of building directly across from Carter Finley Stadium
Wheelchair accessible seating and mobility impaired seating are available in all levels of the arena and at all price levels. Lower level seating is located along sides and ends, club level seating is located along ends, and upper level seating is located along sides, corners, and ends. Sight and hearing impaired seating is available in the lower level corners.
Course Description:
The mission of every organization is affected by today’s global economy and the digital era. Organizations are critically dependent on information technology (IT) to better support their business Goals. Risk Management plays a critical role in protecting an organization’s information assets, and its mission therein, from IT-related Risk. An effective Risk Management Process is an important component of a successful IT security program. The principal goal of an organization’s Risk Management Process should be to protect the organization and its ability to perform their mission, not just its IT assets. Therefore, the Risk Management Process should not be treated primarily as a technical function carried out by the IT experts who operate and manage the IT system, but as an essential Management function of the organization.
Risk is the net negative impact of the exercise of a vulnerability, considering both the probability and the impact of occurrence. Risk Management is the Process of identifying Risk, assessing Risk, and taking steps to reduce Risk to an acceptable level. This Course provides an overview into the specific criteria, steps and actions necessary to implement and sustain a comprehensive Information Risk Management program.
Course Topics:
● Module1: Risk Management Definitions and Principles
● Module2: Risk Management Policies and RequirementS
● Module3: Defining Risk Management Goals and Objectives
● Module4: NIST Assesment Process – A Best Practice
● Module5: Course Learning Summary
Learning Goals:
● Address various Risk methodologies and assess application to individual enterprise environments.
● Explain and utilize Risk Assesment and analysis methodologies.
● Identify significant components of Risk and their respective Definitions.
● Define Risk Management Goals and Objectives.
● Document Risk Practices and Risk types.
● Recognize the ISO Principles of Risk Management.
● Understand the COBIT 4.1 and COBIT 5 elements related to IT Risk identification and Management.
● Apply the nine (9) steps of the NIST IT Risk Assesment methodology to an enterprise-wide Risk Assesment project.
● Prepare and evaluate a Statement of Risk Management.
● Describe the role and value of IT Risk Management as a basis of proactive corporate governance.
Course Agenda:
Day 1
● Pre Course Reading
● Risk Management Definitions and Principles
● Risk Management Policies and RequirementS
● Defining Risk Management Goals and Objectives
● NIST Assesment Process – A Best Practice
● Course Learning Summary
Who can Attend?
This workshop is intended for:
● Primary
● Internal and external auditors (IT, financial, operational)
● Risk Compliance Officers
● Professionals involved in organizational or IT GRC strategic initiative
● Secondary Audience
● Management consultants
● Controllers
● Directors of Human ReCourses
● Facilities Managers
In this class you will discover techniques that can be applied to conquering any type of hair. Whether you are looking for new techniques to add to your arsenal or are looking to build it, this class is something you don't want to miss!
Cash, Visa, Mastercard, Discover, & American Express
To pick up tickets, a valid government-issued photo identification is required. Hours: Monday - Friday / 9 a.m. - 3 p.m. and three (3) hours prior to any event. Location: On Church Street (north side of venue).
Venue information : 407.440.7900 Groups Sales: Amway Center events: 407.440.7900 Orlando Magic games: 407.896.2442, select "2".
Hours of Operation: Monday - Friday / 9 a.m. - 3 p.m. Summer and holiday hours may apply.
Wheelchair accessible and companion seats are available at locations dispersed throughout Amway Center, offering guests the choice of an array of prices, amenities and lines of sight. Seating locations vary depending on particular events. It is important to indicate when buying tickets if you require wheelchair accessible seating. Service animals are animals individually trained to do work or perform tasks for the benefit of an individual with a disability. Guests with disabilities are welcome to bring their service animals inside the Amway Center. Service animals may not use additional seats unless a ticket has been purchased for the adjacent seat, but may request accessible seating. Elevators : The Amway Center has fourteen (14) accessible public elavators available for all guests. Parking : Convenient accessible parking is located in the GEICO Garage, which is adjacent to the Amway Center and accessible via the pedestrian bridge on the Terrace Level (Level 3). Additional accessible parking is located in lot 9. There are also accessible parking spaces in surface lots and garages in the area surrounding the Amway Center. Visit amwaycenter.com for more information. Entrance : The Amway Center's main entrance is at the middle block of Church Street between Hughey Avenue and Division Avenue. Accessible entry is also available via the pedestrian bridge on the Terrace Level (Level 3).
Tickets are released only to the person whose name (or alternate pick-up name) appears on the Ticketmaster order header card or will call envelope. No one will be given tickets designated for another person. Proper photo identification is required (such as a driver's license or passport), and purchasing credit card, if applicable. A signature from the person authorized to pick up the tickets will be obtained at the time of pick up.
Tickets are only available through Ticketmaster in advance. The box office is only open on the day of the event. Exact hours of operation will be determined later. The box office is located on the south side of the venue between gates D and E.
Visa, Mastercard, American Express, Cash
All will call can be picked up at the main box office or ticketing kiosks on the southwest corner of the ballpark during regular business hours.
Ticket office information line-(602)514-8400 Main Number-(602)462-6500 SMG/SAA Ventures, LLC-(480)994-0471
Hours: Monday-Friday 9:00-5:00 and Event Days only Location: Main Ticket Office-Southwest corner of ballpark on 4th St. and Jackson. Additional Ticket Windows-Gate K Northeast corner of ballpark-near 7th St. on Jefferson The Box Office opens for the winter season TBA
Accessible Seats are reserved for individuals with accessible needs. These seats are restricted to no more than six (6) companions. If someone is wanting more than the allowed limit, please have them call the Box Office at 602 514-8400. Only 1 companion is guaranteed to be in the same section as the guest, depending on availability.