Events
Why should you attend?
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·     Data analytics is a priority for many organizations
·     Many jobs now call for some level of analytic
knowledge
·     Storytelling with data will soon become a “must
have†skill
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What is Cognos Analytics?
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“IBM® Cognos® Analytics integrates data preparation,
reporting, modeling, self-service analysis, dashboards, stories, event
management and now automated predictive analytics into one stack. Moreover, the
latest release makes extensive use of AI, including machine learning, natural
language processing (NLP) and natural language generation (NLG), in order to
automate as many features for the end user as possible, in an effort to make
BI, analytics and predictive analysis easy for business users.â€
About the speaker:
Mohammed Omar Khan is an Offering Manager on the IBM Cognos
Analytics. He works with the development, design, sales, marketing, support and
more teams to make Cognos Analytics a leader in the BI market. He is a Carleton
University Alumni. Some of his achievements include 2nd place in Data Day 5.0
Poster Competition held at Carleton University, IBM VP Award, and IBM Managers
Choice Award.
Career Fair
Algonquin College – School of Advanced Technology
MORE THAN 40 PART-TIME FACULTY POSITIONS AVAILABLE
SATURDAY, MAY 25, 2019
9am to 1pm
Join the learner-driven workforce of one of the National Capital Region’s Top Employers.
Enjoy a career you can be proud of by helping our learners become the leaders of tomorrow. We are looking for part-time faculty members in the following programs:
• Aviation Management – General Arts and Science
• Computer Engineering Technology – Computing Science
• Electro-Mechanical Engineering Technician
• Manufacturing Engineering Technician
• Mechanical Engineering Technology
• Computer Programmer
• Computer Systems Technician
• Computer Systems Technology – Security
• Bachelor of Information Technology – Network Technology
Fields-CQAM Public Lectures: Ali Ghodsi, University of Waterloo
What is missing from common practice in machine learning?
AI, and machine learning in particular, is enjoying its golden age. Machine learning has changed the face of the world over the past two decades but we are still a long way from achieving a general artificial intelligence. In this talk, I will discuss a couple of elements that I believe are missing from common practice in machine learning, including incorporating causality and creating a new framework for unsupervised learning.
Biography
Ali Ghodsi is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. His research involves statistical machine-learning methods. Ghodsi’s research spans a variety of areas in computational statistics. He studies theoretical frameworks and develops new machine learning algorithms for analyzing large-scale data sets, with applications to bioinformatics, data mining, pattern recognition, robotics, computer vision, and sequential decision making.
DATE:
THURSDAY, JUNE 20TH, 2019.
PRESENTATION
6:00 PM – 7:00 PM.
NETWORKING
7:00 PM – 8:00 PM.
LOCATION
HEALTH SCIENCE BUILDING, RM. 1301 (LOCATED ON THE GROUND FLOOR), CARLETON UNIVERSITY.
FREE ADMISSION FOR THIS PUBLIC LECTURE.
PLEASE REGISTERÂ HERE.
8:30 am – 9:00 am | Registration | ||
---|---|---|---|
9:00 am – 9:15 am | Opening Remarks | Rafik Goubran | Carleton University |
9:15 am – 10:00 am | Keynote Presentation:
Data Mining and Machine Learning for Authorship and Malware Analyses |
Benjamin C. M. Fung Biography |
McGill University |
10:00 am – 10:30 am | Break | ||
10:30 am – 11:45 am | Cybersecurity: Top 5 class imbalance ML challenges and data sets Abstract |
Stephan Jou Biography |
Interset |
Class Imbalance in Fraud Detection Abstract |
Robin Grosset Biography |
MindBridge Analytics Inc. | |
Handling class imbalance in natural language processing Abstract |
Isuru Gunasekara Biography |
IMRSV Data Labs | |
11:45 am – 12:45 pm | Lunch | ||
12:30 pm – 2:10 pm | Adaptive learning with class imbalanced streams Abstract |
Herna L. Viktor Biography |
University of Ottawa |
Radar-based fall monitoring using deep learning Abstract |
Hamidreza Sadreazami Biography |
McGill University | |
Privacy-preserving data augmentation in medical text analysis Abstract |
Isar Nejadgholi Biography |
National Research Council | |
Failure modelling of a propulsion subsystem: unsupervised and semi-supervised approaches to anomaly detection Abstract |
Julio J. Valdés Biography |
National Research Council | |
2:10 pm – 2:25 pm | Break | ||
2:25 pm – 3:40 pm | TBD | Reddy Nellipudi | DB Schenker |
AuditMap.ai: Hierarchical Sentence Classification in Unstructured Audit Reports Abstract |
Daniel Shapiro Biography |
Lemay.ai | |
Deep Learning techniques for unsupervised anomaly detection Abstract |
Dušan Sovilj Biography |
RANK Software Inc. | |
3:40 pm – 3:50 pm | Closing Remarks |
Speaker 1: Hisham Abed, P.Eng., Ericsson
Topic:Â Power Integrity – Best design practices
Speaker 2: Dr. Ihsan Erdin, Celestica
Topic:Â Power Integrity Optimization amidst MLCC shortage
Parking:Â Free
Registration: Free, and is on a first to reply basis. Preference given to IEEE EMC and CPMT society members. Seating is limited. E-mail reservation is required.
Pizza and soft drinks will be served.
Organizer: Dr. Syed Bokhari, Chairman, IEEE Ottawa
EMC chapter
Syed.Bokhari@fidus.com,
Office :(613) 595 – 0507 Ext. 377, Cell: (613) 355 – 6632
Directions:Â Â Â www.fidus.com