Q: Will you give out the attendee list? And if they do, each team often works in a vacuum, siloed from each other. Specific techniques have been developed to help reduce bias at each stage of an ML system. What You Will Learn: You'll learn how modern AI and ML are approaching the problem of conceptual abstraction and analogy-making, and how these approaches compare with human abilities in these areas. Q: What are the technical requirements to be able to participate? The findings can be generalized to many other settings, to assess and monitor the performance of existing ML pipelines even in the absence of A/B testing. The NLP Project addressed these challenges by familiarizing industry participants with advanced NLP techniques and the workflows for developing new methods that could achieve high performance while using relatively small data sets and widely accessible computing resources. Abstract: The quality of online comments is critical to the Washington Post. Deep Learning Summit. Log in or sign up for Eventbrite to save events you're interested in. Whether you are developing your first machine learning application, creating an enterprise ML infrastructure startup, or creating new Machine/Deep Learning tools, this hands-on session is designed to share practical strategies, growth hacks, and specific techniques to use that will win you your first customers and scale. Business leaders will learn from the experience of those who have successfully implemented ML/AI and actively manage data teams. The huge swathes of data owned by industrial organisations is providing AI and machine learning adopters with limitless opportunities to deliver new products, new business models, and greater insights into their business. This talk will focus on our journey to build this model, and how we are able to operationalize the findings quickly using RPA. What You Will Learn: In this talk, you will see real examples of the cold start problem and how it can prevent businesses from effectively and efficiently growing. The benefits of scaling global models through regional data strategies will be illustrated with examples from fraud detection, credit decisioning, economic modeling, and understanding consumer preferences. Read more. Given that the world and its data are ever more varied and dynamic, to take advantage of this power models need to be highly adaptable to represent the local diversity of events, people, markets, and operations. We create and organise globally renowned summits, workshops and dinners, bringing together the brightest minds in AI from both industry and academia. What You Will Learn: How to think about, and build, neural-symbolic AI systems that generalize, transfer knowledge, and perform creative hypothesis generation. It starts with the gap between ML in research and ML in production. 06 , March , 2020 - Toronto. Today, AI researchers & practitioners increasingly use deep neural networks for many applications across different modalities and areas such as NLP, Vision, Speech, Conversational, and Multimodal AI. Go to Main Content. Q: Will you focus on any industries in particular? Event in Toronto, ON, Canada by Toronto Machine Learning Society on Thursday, November 2 2017 with 2.2K people interested and 166 people going. *CONFERENCE BREAKOUTS (ON HOPIN.TO PLATFORM) ARE 18TH AND 19TH*Taken from the real-life experiences of our community, the Steering Committee has selected the top applications, achievements and knowledge-areas to highlight.Data November 18th-19th750-950 attendeesWhere? Presenters will speak to optimization realized through the approach and provide insights into how the business was considered throughout the data and analytics journey. Conference Overview. In this talk, I will give a high-level overview of the key ideas that make this possible. The special focus will be on artificial intelligence and machine learning for COVID-19. By contrast, while we’ve seen explosive growth in the adoption of the machine and deep learning (ML/DL) across industries, putting ML/DL models into production isn’t as well supported. What You Will Learn: How to test NLP models, Patrick Cullen, Director of Data Science and Ling Jiang, Senior Data Scientist at The Washington Post. CSC 311 Fall 2020: Introduction to Machine Learning Overview. Jose Murillo, Chief Analytics Officer and Francisco Martha Gonzalez, Payments, Digital Banking and IT Managing Director at Banorte. Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering and Statistical Science at Duke University. Abstract: We live in an age of data; so much data that it’s overwhelming. 2) Determine the optimal rate for each group of customers. These hurdles limit the accessibility many organizations have to NLP capabilities, putting the significant benefits advanced NLP can provide out of reach. Some cognitive scientists have proposed that analogy-making is a central mechanism for conceptual abstraction and understanding in humans. Recently the AI community has witnessed an increasing trend for training larger and larger neural models (e.g., GPT-3, T5, BERT) that achieve state-of-the-art results but require enormous computation, memory, and energy resources on the Cloud. BACKGROUND. Abstract: How do you get buy-in from leadership to sponsor your ML project? Dillon Erb, CEO and Cofounder at Paperspace. A "dramatic shift" would be an understatement: since 2018, the field of natural language has undergone a sea change. The 2020 conference will take a special look at the growth of big data and how that will feed machine learning … Mon, Jun 15, 9:00 AM EDT. Introduction of Toronto Machine Learning Summit. Abstract: This talk covers what it means to operationalize ML models. Thu, Nov 2, 2017, 9:00 AM: Hello Folks!Based on the needs of our community we've created a 2 day event for you, bringing together 1. practitioners 2. enthusiasts and 3. businessesThe content will be p See who else is going to Toronto Machine Learning Summit 2020, and keep up-to-date with conversations about the event. Big Data and AI Toronto is going virtual for its 5th edition! In real-world scenarios, this can increase the time to value add significantly for businesses as collecting huge amounts of labelled data is usually very time and cost consuming. At Microsoft Research, a learning method has been developed that is as accurate as full complexity models such as boosted trees and random forests, but even more intelligible than linear models. Find out more about how your privacy is protected. 1. In particular, it will show how deep learning models can be used to assess how much revenue in a digital shop comes from interactions with search and recommendation APIs. However, ICMLA is less about theory and far more geared to those who have a specific focus on machine learning applications. Developments in the field are happening fast: For practitioners, it's important to stay on top of the latest advances; for business leaders, the implementation of new technology brings specific challenges. Abstract: The talk will give an overview of China's AI/ML ecosystem, and a deep dive into its capabilities when it comes to leading-edge research in neural networks. Winston Li, Founder at Arima and Doug Creighton, Data Science Lead at Statflo Inc. Abstract: A synthetic dataset is a data object that is generated programmatically, and it is often necessary for situations where data privacy is a concern, or when collecting data is difficult or costly. AI & Machine Learning Summit 2020 will take place at the Hyatt Regency Boston in Boston, MA between May 19 - 20, 2020 and is a two-day immersion into the leading AI and machine learning use cases, strategies and technologies that every organization should know about. Machine Learning in NLP & Computer Vision Summit, Irish Mass Spectrometry Society Annual Conference, MLOps World; Machine Learning in Production 2021, Fordham Finance Society: Trending in Finance 6th Annual Conference, South Carolina Thoracic Society - 2021 Annual Conference, Introduction to Machine Learning [Live-Online]. As well, to help data practitioners, researchers and students fast-track their learning process and develop rewarding careers in the field of ML and AI. What You Will Learn: Practical advice and mistakes from having launched two top tier ML tools companies, Joe Greenwood, Vice President Data Strategy - North America at Mastercard. #data_science_course What You Will Learn: The 2020 industry landscape for NLP use cases in production; the relative "market share" for the popular open-source libraries/frameworks; and analysis of cloud service usage and failure cases; plus industry drivers for accuracy vs. cost in new NLP advances, Azin Asgarian, Applied Research Scientist at Georgian and Franziska Kirschner, Research Lead at Tractable. This talk provides a brief overview of Indigenous language technology projects at the National Research Council of Canada, before focusing on one project in particular: the development of neural machine translation systems to translate between Inuktitut and English. It examines how ML applications differ from traditional software engineering applications, the scaling challenge, and the rise of MLOps. The TAtech Digital Summit on AI & Machine Learning in Talent Acquisition January 19, 2021 – 11 AM ET – 8:00 AM PT – 3 PM GMT . Aim: The main objective is to design a pricing product that can help to : 1) Identify groups of elastic and inelastic customers. However, in aggregated data environments, confidence in the individual data points varies in a quantifiable manner by primary data source or measurement type. In order to enable AI experiences in real-time across all users and devices, ML models have to run efficiently on the Cloud and personal devices on the Edge (e.g., mobile phones, wearables, IoT) which have limited computing capabilities. Gonzalo Corrales, Sr. Director - Robotics and Machine Learning and Shahid Amlani, Director of Machine Learning at Rogers Communications. What You Will Learn: This talk outlines the challenges and approaches to designing, developing, and deploying ML systems. What You Will Learn: Cutting-edge technology & practical applications for efficient Deep Learning on the Edge & Cloud, Mary Jane Dykeman, Partner and Co-Founder at INQ Data Law and Muhammad Mamdani, Vice President, Data Science and Advanced Analytics at Unity Health Toronto. to assess its contributions to revenues in eCommerce. The Virtual Higher Education Summit 2020 (#HES2020) took place from 31 August – 2 September 2020. Accounting; Business Administration; Human Resources Management; People Analytics; Risk Management; Chartered Business Valuator Program; Marketing, Communications & Design. 3) Two real-world use cases demonstrating why using synthetic data generation can significantly improve model performances. 3. This performance can be impacted by biases, which can lead to a subpar experience for subsets of users, content providers, applications, or use cases. Event cost: From C$1,395. Deep Learning Summit. Shreyansh Daftry, AI Research Scientist at NASA Jet Propulsion Laboratory. Hear from Twitter, WestJet, Shoppers Drugmart, Province … Learn how they built a machine learning system for automatically moderating comments from millions of readers. In this talk, we will present our work at Google AI Research towards building GoEmotion, a large-scale dataset containing 58K social media comments labeled with a fine-grained emotion taxonomy, which is adaptable to multiple downstream tasks. Abstract: Large telecom providers (and many other industries) spend tens of millions of dollars each year reacting to customer issues. Finally, I will offer best practices to guide future industry collaborative projects. Data Summit Connect 2020 is a new free webinar series taking place June 9 - 11, 2020 and will focus on analytics, machine learning, AI, data lakes, and much more. The event will have three tracks: One for Business, one for Advanced Practitioners/Researchers, and one for applied use-cases (Focusing on various Industries). Abstract: With the widespread use of machine learning, there have been serious societal consequences from using black-box models for high-stakes decisions, including flawed bail and parole decisions in criminal justice. It starts by analyzing the difference between ML in research vs. in production, ML systems vs. traditional software, as well as myths about ML production. What You Will Learn: How AI/ML is being used by NASA to enable the next frontier in robotics space exploration; Challenges in deploying AI/ML for safety-critical systems, Nadia Fawaz, Applied Research Scientist at Pinterest. At each RE•WORK event, we combine the latest technological innovation with real-world applications and practical case studies. Keep up with Toronto Machine Learning Summit 2020. See Attendee Demographics and a list of the Attendee Titles from our past event here. Toronto, Canada. Models degrade and break in production. 3. 5-6 Apr, Middle East Banking AI & Analytics Summit. AI & Machine Learning Summit 2020 will take place at the Hyatt Regency Boston in Boston, MA between May 19 - 20, 2020 and is a two-day immersion into the leading AI and machine learning use cases, strategies and technologies that every organization should know about. Online via virtual conference platformSee the various talks here and filtered tracks here: https://torontomachinelearning.com/2020-conference/See how a virtual conference works, here!https://torontomachinelearning.com/#how-does-it-workTopics include;- Fine-Grained Emotion Detection for Products & Research- Assessing China's AI Capabilities- Winning Your First 50 Enterprise Customers- Reinforcement Learning via Stochastic Control- Harnessing Geospatial Data for Machine Learning- Customer Segmentation, Pricing, and Profit Optimization- Beyond Accuracy: Behavioral Testing of NLP Models with CheckList- Race Data as an Anti-Racism Tool- The Algorithm is Not Enough: UX Meets Data Science- Algorithmic Decision Making: Exploring Practical Approaches to Liability, Fairness, and Explainability- And many more! The World of Learning Conference has cemented itself as a must-attend event for L&D professionals looking for practical solutions to common challenges. Kan Deng, Ph.D., Founder and CEO at Beijing Rxthinking Inc. Abstract: This talk will discuss the practice of applied machine learning technology in healthcare, particularly covering its relevance with the ongoing coronavirus pandemic. This year’s edition of the Machine Learning Developers Summit or MLDS 2020 brought together India’s leading Machine Learning innovators and practitioners who shared ideas and experiences about artificial intelligence (AI) and machine learning (ML) technologies, and developments in the AI/ML space. Abstract: One of the fundamental goals in the emerging field of quantum machine learning is to build trainable quantum computing algorithms. Download Brochure Prices. Dubai, UAE. Alejandro Perdomo-Ortiz, Lead Quantum Applications at Zapata Computing Inc. Abstract: With quantum computing technologies nearing the era of commercialization and quantum advantage, machine learning (ML) has been proposed as one of the promising killer applications. Matt Sheehan, Fellow at The Paulson Institute. Q: Who will attend? Times Higher Education’s World Academic Summit 2020 will be held in partnership with the University of Toronto next September.. We will unpack the idea of race as relationships and race as data in its historical and current contexts. The capacity to implement and demonstrate high ROI AI projects changes this dynamic. On Friday, September 20, 2019, the Library of Congress hosted the Machine Learning + Libraries Summit. There is not. The widespread increase in the availability of connected “smart” appliances (e.g., conversational assistants) means that there is an ever-expanding surface area for mobile intelligence and ambient devices in homes. The Big Data & Analytics Summit Canada is designed to provide data executives with current trends, strategic insights, and best practices trending in technology, data, AI, machine learning, risk management, and retaining talent.. This often limits the accuracy of models that can safely be deployed in mission-critical applications such as healthcare where being able to understand, validate, edit, and ultimately trust a model is important. Your email will only be seen by the event organizer. We will discuss recent experimental implementations of these quantum generative models, in both, superconducting-qubit and ion-trap quantum computers. While AI has made dramatic progress over the last decade in areas such as vision, natural language processing, and robotics, current AI systems still almost entirely lack the ability to form humanlike concepts and abstractions. You may also find my experience helpful, which is that we have never needed a black box model for a high stakes decision because we have always been able to construct an interpretable model that is at the same level of predictive performance as the best black box we could find. In this talk, I will present some of the challenges in understanding the data and present our platform for content understanding. TIME: 14:00 IST / 09:30BST / 18:30 AEST / 16:30 ACT(3HOURS) REGISTER HERE. Last November, we had the opportunity to attend the Toronto Machine Learning Summit (TMLS) one of the most respected Machine Learning Conference & Exhibitions. Machine Learning; Business. The participants established 11 working groups, each of which developed and performed experiments relevant to existing industry needs. However, too often results have been disappointingly producing some backlash against digital transformation efforts. In this talk, we demonstrate how this problem can be addressed by aggregating data across sources and leveraging previously trained models. Alegion Alegion’s platform blends human and machine intelligence to provide accurate labeled data used to train or validate machine learning models. Despite the vast opportunities that lie within our data, there are also explicit challenges to revealing their potential. WORLD MACHINE LEARNING SUMMIT. For each customer segmentation, the company found the demand curve function and formulate the nonlinear optimization problem that maximizes the sale or revenue using PYOMO and IPOPT. The international event addressed the question “How can we assure quality and transformative learning for sustainable development?” and was co-organised by the COPERNICUS Alliance , saguf , td-net , the University of Bern , and the University of Lausanne ( ⭢ Organizers & Supporters ) This talk will give examples of neural-symbolic AI implemented using the OpenCog AI framework, including semantics-preserving hypergraph embeddings and probabilistic logic-based explanations of ML-identified data patterns. Buy Tickets for this Toronto Event organized by 1.21GWS. Tue, Sep 15 – 16, 2020. Machine learning (ML) is a set of techniques that allow computers to learn from data and experience, rather than requiring humans to specify the desired behaviour by hand. This talk will show how to use A.I. Furthermore, transitioning to a career in practicing AL/ML, or managing ML and AI-driven businesses, are less than straightforward. This talk distills learnings from building recommendation systems servings millions of customers across multiple companies like Twitter, Twitch, Capital One into a set of commonly used design patterns that you can use right away. Tue, Sep 15 – 16, 2020. Abstract: Background: Pricing is a famous business issue in many companies and organizations. This talk will describe sources of bias in ML technology, why addressing bias matters, and techniques to mitigate bias, with examples from the speaker's work on inclusive AI at Pinterest. What You Will Learn: The current state of quantum computation. Abstract: AI-driven, including ML models, provide the capability to process a greater volume and variety of data to power new global platforms and products and to optimize global business operations. We will share the technical challenges with building the comment moderation platform and how we raised the quality of online conversations with machine learning. Machine Learning Developers Summit 2020 (#MLDS2020) brings together the India’s leading Machine Learning innovators and practitioners to share their ideas and experience about machine learning tools. Read more. What You Will Learn: In this talk, we will share lessons we learned in answering three questions and the metrics stakeholders care about. Accelerate 2021: Data Analytics Summit . A set of co-operating systems need to be built that can serve the needs of the users. However, numerous challenges to the acquisition, storage, and utilization of data as well as the development of practical machine learning algorithms and change management principles need to be considered. The Old Mill, Toronto, ON ... Suite 401 Toronto, Ontario M5V 3A8 Ai & Machine Learning Strategies Summit 2020.

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