Explore how deep learning will impact healthcare, manufacturing, search & transportation. ROBOTIC PROCESS AUTOMATION SUMMIT. How emotions can be detected from textual content for business use cases & research purposes, 2. Dillon has great clarity on macro trends within the infrastructure space while maintaining pragmatism about incorporating the latest open-source tools. MLOps, Production & Engineering World 2020. The Old Mill, Toronto, ON ... Suite 401 Toronto, Ontario M5V 3A8 Ai & Machine Learning Strategies Summit 2020. Allow Facebook friends to see your upcoming events? We believe these events should be as accessible as possible and set our ticket passes accordingly. We propose a deep neural network approach called Filtered Transfer Learning (FTL) that defines multiple tiers of data confidence as separate tasks in a transfer learning setting. What You Will Learn: This talk outlines the challenges and approaches to designing, developing, and deploying ML systems. Read more. Yes, we can provide this upon request. Why You Should Attend: Another conference focusing on deep learning, a subfield of machine learning. Abstract: 'Race' is a concept, a tool, and a structure that defines a set of relationships between people. This will also cover some lessons learned from the space industry that can be applied to industrial applications here on Earth. This phenomenon—known as the cold start problem—is a pain point for almost any AI company that wants to scale. Learn from industry experts in speech & pattern recognition, neural networks, image analysis and NLP. We'd like to welcome you to join us in celebrating the top achievements in AI/ML from the perspective of research and applications and business strategy, across all industries. What You Will Learn: How to maximize the value of geospatial data using machine learning and artificial intelligence techniques, business problems that can be tackled in a variety of industries using this type of data, and how to utilize algorithms specific to spatial data. Paco Nathan, Computer Scientist at Derwen Inc. Abstract: We recently conducted an industry survey of firms that have natural language systems in production. Yes, there will be spaces for company displays. Much like the similarly named International Conference on Machine Learning, the International Conference on Machine Learning and Applications, ICMLA 2020, is designed to bring together academic and industry researchers. Start Date: January 30th, 2020. recordings)- Talks for beginners/intermediate & advanced- Network and connect through our event app- Q+A with speakers- Channels to share your work with the community- Run your chat groups and virtual gatherings!- Hands-on Workshops*PLEASE NOTE BONUS WORKSHOPS ARE ON THE 16TH AND 17TH OF NOVEMBER. The Virtual Higher Education Summit 2020 (#HES2020) took place from 31 August – 2 September 2020. Abstract: A.I. The event will have three tracks: One for Business, one for Advanced Practitioners/Researchers, and one for applied use-cases (Focusing on various Industries). How do you convince your stakeholders to put your ML models into production? Finally, I will offer best practices to guide future industry collaborative projects. The E2E machine learning solution was implemented as a web service using MLflow, Azure Kubernetes Services. Please email info@torontomachinelearning.com. BIG DATA & AI TORONTO 2020: VIRTUAL CONFERENCE & EXPO. Abstract: Tubi is an advertiser based video-on-demand service that allows its users to watch content online. Location: San Francisco, California. 15-16 Apr, RE.WORK AI in Retail & Marketing Summit. Abstract: This talk will discuss CheckList, a task-agnostic methodology, and tool for testing NLP models inspired by principles of behavioral testing in software engineering, showing a lot of fun bugs that were discovered with CheckList, both in commercial models (Microsoft, Amazon, Google) and research models (BERT, RoBERTA for sentiment analysis, QQP, SQuAD). Mon, Jun 15, 9:00 AM EDT. ML has become increasingly central both in AI as an academic field, and in industry. 3. recordings), Talks for beginners/intermediate & advanced, Network and connect through our event app, Channels to share your work with the community. Join Canada's Top AI And Machine Learning Strategies Summit 2020! 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. Deep Learning Summit. 06 , March , 2020 - Melbourne. The deep neural network is fine-tuned in a hierarchical process by iteratively removing (filtering) data points with lower label confidence and retraining. #deep_learning ... I Studied 365 Data Visualizations in 2020. However, this aspect is often overlooked in practice. At each RE•WORK event, we combine the latest technological innovation with real-world applications and practical case studies. 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 TMLS initiative is dedicated to helping promote the development of AI/ML effectively, and responsibly across all Industries. When will the recordings be available and do I have access to them? Q: Can my company have a display? Machine learning, deep learning, and AI are some of the fastest-growing and most exciting areas for knowledge workers - simultaneously, they are the key to untapped revenue sources and strategic insights for businesses. Validating your business model (1-10 customers). This talk will introduce our work on Neural Projection computing, an efficient AI paradigm, and a family of efficient Projection Neural Network architectures that yield fast (e.g., quadratic speedup for transformer networks) and tiny models that shrink memory requirements by up to 10000x while achieving near state-of-the-art performance powering vision and NLP applications on billions of mobile devices. This performance can be impacted by biases, which can lead to a subpar experience for subsets of users, content providers, applications, or use cases. 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. #analytics Abstract: The ecosystem for deploying SaaS applications includes countless tools for delivering an app to production, monitoring its performance, and deploying in real-time. 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. Machine Learning Developers Summit 2021 (MLDS20) is the gold standard for India’s data science & Machine learning ecosystem for gaining exposure to ML tools and frameworks, evaluating new projects, hardware & software challenges of building complex ML systems, the right tools and platforms, languages, software and standards. Toronto Machine Learning Summit and Expo 2020 (Virtual) Mon, Nov 16, 7:00 PM EST. ), - How we aim to operationalize model findings quickly in an environment with legacy systems. Practitioners will dissect technical approaches, case studies, tools, and techniques to explore challenges within Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML, and more. What You Will Learn: This is about applying cutting edge machine learning domain in the banking domain. Times Higher Education’s World Academic Summit 2020 will be held in partnership with the University of Toronto next September.. We create and organise globally renowned summits, workshops and dinners, bringing together the brightest minds in AI from both industry and academia. The capacity to implement and demonstrate high ROI AI projects changes this dynamic. 10:10 – 10:45 Opening Keynote: What You Will Learn: How to deal with data points with different levels of confidence in a deep learning setting, Gaurav Nemade, Product Manager at Google AI and Dana Movshovitz-Attias, Software Engineer at Google Research. We also live in the age of UX where user-centricity is no longer the exception or a market differentiator - it is now the norm. I will share some of the technical challenges that we encountered throughout the project and how we overcome them. Abstract: Large telecom providers (and many other industries) spend tens of millions of dollars each year reacting to customer issues. For a taster of what to expect, take a look at the 2020 programme. Watch Queue Queue 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. ( See abstract at the bottom). Mitigating bias in machine learning systems is crucial to successfully achieve the company's mission to "bring everyone the inspiration to create a life they love". What You Will Learn: How to set out an enterprise approach to the responsible use of data and AI, how to translate that into global data strategy elements and frameworks, and then how to use regional or country-specific data and model building strategies, Marco Túlio Ribeiro, Senior Researcher at Microsoft Research. Events are social. The project involved 60 participants: 23 Vector researchers and staff with expertise in machine learning and NLP along with 37 industry technical professionals from 16 Vector sponsor companies. Description: Learn how to use AI to solve common business problems. These biases may impact the performance of various components of ML systems, from offline training to evaluation and online serving in production systems. While the tech unicorns and their proxies have conducted almost an "arms race" since early 2018, sometimes publishing papers twice monthly to outdo their competitors' most recently published benchmarks -- how are these advances diffusing into practical use cases, and becoming adopted by mainstream businesses for their needs? For Futher Information Visit The AI Summit Contact Us Page. Jaya Kawale, Director of Machine Learning at Tubi. Ari Kalfayan, Senior Business Development Manager - AI/ML & VC at Amazon Web Services. Abstract: This talk is designed to help you land your first 50 enterprise machine learning customers.

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