• Quantum Machine Learning | edX

    The pace of development in quantum computing mirrors the rapid advances made in machine learning and artificial intelligence. It is natural to ask whether quantum technologies could boost learning algorithms: this field of inquiry is called quantum-enhanced machine learning.

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  • George E. Dahl

    University of Toronto; Ontario, Canada email: Can be easily derived from the URL for this page. About me. I am currently a research scientist at Google on the Brain team in Mountain View. I graduated from the U of T Machine Learning Group and my supervisor was Geoffrey Hinton. During my PhD, my collaborators and I trained the first successful ...

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  • The top 10 sewing classes in Toronto

    Jan 19, 2019· Sewing classes in Toronto actually teach much more than just how to darn a sock or make a cute bralette. They teach resourcefulness, self-reliance and waste reduction, by helping communities learn ...

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  • Sessional Lecturer - Applied Fundamentals of Machine ...

    Campus: St. George (Downtown Toronto) Description: Course title: APS360H1 S – Applied Fundamentals of Machine Learning. Course description: A basic introduction to the history, technology, programming and applications of artificial intelligence, with emphasis on fast evolving field of machine learning. Topics to be covered may include linear ...

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  • Hoffman Lab: join the lab

    The Hoffman Lab at the Princess Margaret Cancer Centre and the University of Toronto seeks new members for our team. We develop machine learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biological insight.

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  • Course Descriptions | Institute of Health Policy ...

    The course provides an interdisciplinary perspective of AI stakeholder values, intelligent medicine, machine learning, and knowledge representation. Students will learn when and how it is appropriate to apply machine learning for the improvement of health and healthcare. Applied, handson, and conceptual AI content will be explored in depth.

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  • Paper Making and Paper Manufacturing Process

    This page contains sites providing information on how to make paper, papermaking, pulp making, process of making paper, history of paper, paper manufacturing process, how paper is made or processing, paper recycling and/or converting.

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  • New U of T supercomputer is most ... - University of Toronto

    Canada's most powerful research supercomputer was unveiled today at the University of Toronto – where it will be available to researchers of all disciplines across the country. Niagara is a massive network of 60,000 cores – the equivalent of roughly 60,000 powerful desktop computers – that can be tasked to work together simultaneously ...

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  • | Electrical & Computer Engineering

    The Edward S. Rogers Sr. Department of Electrical & Computer Engineering (ECE) consistently ranks among the top in North America. It attracts outstanding students, has excellent research and teaching facilities, and is ideally located in the middle of Toronto, a vibrant cosmopolitan city.

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  • Statistics — Machine Learning & Data Mining Stream ...

    The Machine Learning and Data Mining stream provides a specialist program in a dynamic, high-demand, and fast-growing field that lies at the intersection of statistics and computational sciences. It is driven by applied problems in science and technology, where data streams are increasingly large-scale, high-dimensional and heterogeneous.

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  • ADVANCED MANUFACTURING RESEARCH - Faculty of Applied ...

    Bombardier invests in Toronto aerospace hub . Canadian aerospace giant Bombardier Inc. is helping to establish an aerospace research hub near Downsview Airport, in collaboration with the University of Toronto Institute for Aerospace Studies (UTIAS) and other local academic institutions.

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  • Paper Making and Paper Manufacturing Process

    This page contains sites providing information on how to make paper, papermaking, pulp making, process of making paper, history of paper, paper manufacturing process, how paper is made or processing, paper recycling and/or converting.

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  • MScAC Data Science Concentration - University of Toronto

    The Master of Science in Applied Computing (MScAC) Concentration in Data Science is offered jointly by the Department of Computer Science and the Department of Statistical Sciences. This program helps you build skills at the intersection of computer science and statistics. Learn how to solve complex data challenges and gain hands-on industry experience.

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  • Awards | Future Students. University of Toronto ...

    All University of Toronto graduate students who are current registered students at the time of submission are eligible to enter. Exhibits must be based on papers or projects created while a graduate student at the University of Toronto (Papers or projects completed for course work, thesis/dissertation, or research conducted while enrolled at the University of Toronto during Spring 2017/Summer ...

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  • UofT Machine Learning | People

    Amirali Salehi-Abari. William Saunders. Ekansh Sharma

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  • University of Toronto Machine Intelligence Student Team ...

    We are passionate students dedicated to ML/DL at the University of Toronto. - University of Toronto Machine Intelligence Student Team (UTMIST)

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  • List of Recognized AI-Related Programs | Vector Institute ...

    University of Toronto (Rotman School of Management) Program: Master of Management Analytics. Description: The Rotman Master of Management Analytics (MMA) is a nine-month, full-time program running from August to April. The program is focused on teaching the applications of advanced analytics, AI, and machine learning to provide data-driven ...

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  • Statistics — Machine Learning & Data Mining Stream ...

    The Machine Learning and Data Mining stream provides a specialist program in a dynamic, high-demand, and fast-growing field that lies at the intersection of statistics and computational sciences. It is driven by applied problems in science and technology, where data streams are increasingly large-scale, high-dimensional and heterogeneous.

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  • Paper machine - Wikipedia

    A paper machine (or paper-making machine) is an industrial machine which is used in the pulp and paper industry to create paper in large quantities at high speed. Modern paper-making machines are based on the principles of the Fourdrinier Machine, which uses a moving woven mesh to create a continuous paper web by filtering out the fibres held in a paper stock and producing a continuously ...

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  • EngSci Majors | Division of Engineering Science

    University of Toronto Engineering 35 St. George Street Toronto, Ontario • M5S 1A4 • Canada

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  • ADVANCED MANUFACTURING RESEARCH - Faculty of Applied ...

    Bombardier invests in Toronto aerospace hub . Canadian aerospace giant Bombardier Inc. is helping to establish an aerospace research hub near Downsview Airport, in collaboration with the University of Toronto Institute for Aerospace Studies (UTIAS) and other local academic institutions.

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  • MS Computer Science Canada: Costs, Eligibility, Top ...

    Mar 20, 2019· A Masters degree in Computer Science from a top foreign university has always been one of the most sought-after dreams for Indian students. There are many hot destinations for pursuing MS Computer Science. In the last few years, one country that clearly stands out, in terms of popularity among Indians, is Canada.

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  • Machine Intelligence | Division of Engineering Science

    With the development of the new Vector Institute, the University's strong tradition in this field, and the city's vibrant landscape for start-ups and established companies, the University of Toronto is an ideal location to launch an exciting career in machine intelligence. Stark Draper, Chair, Machine Intelligence Major [email protected]

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  • Sessional Lecturer - Applied Fundamentals of Machine ...

    Campus: St. George (Downtown Toronto) Description: Course title: APS360H1 S – Applied Fundamentals of Machine Learning. Course description: A basic introduction to the history, technology, programming and applications of artificial intelligence, with emphasis on fast evolving field of machine learning. Topics to be covered may include linear ...

    Get price
  • Machine Intelligence | Division of Engineering Science

    With the development of the new Vector Institute, the University's strong tradition in this field, and the city's vibrant landscape for start-ups and established companies, the University of Toronto is an ideal location to launch an exciting career in machine intelligence. Stark Draper, Chair, Machine Intelligence Major [email protected]

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  • [Coursera] Neural Networks for Machine Learning ...

    @article{, title = {[Coursera] Neural Networks for Machine Learning (University of Toronto) (neuralnets)}, author = {University of Toronto} } Hosted by users: bytesized. cfhcable. osuosl. rapidseedbox. seedboxescc. whatbox. 10 day statistics (11 downloads) Average Time : .

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  • PAIR Lab - University of Toronto

    PAIR Lab is directed by Animesh Garg in the Department of Computer Science at the University of Toronto.. Our research vision is to enable robotic systems that: learn hierarchical control tasks by watching humans, seamlessly interact and collaborate with humans, and learn to improve performance and acquire new skills through self-practice.

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  • Home- Peter Wittek

    I am an Assistant Professor in the University of Toronto working on quantum-enhanced machine learning and applications of high-performance learning algorithms in quantum physics. I am also the Academic Director of the Quantum Machine Learning Program in the Creative Destruction Lab, a Data Scientist in Residence in the TD Management Data and Analytics Lab, a Faculty Affiliate in the Vector ...

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  • Harvard University and University of Toronto

    Harvard University and University of Toronto Bayesian optimization has proven to be a highly effective methodology for the global optimization of unknown, expensive and multimodal functions. The ability to accurately model distributions over functions is critical to the effectiveness of Bayesian optimization. Although Gaussian processes provide

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  • University of Toronto - Introduction to Machine Learning ...

    Introduction to Machine Learning Course by Amir Ashouri, PhD, PEng. ECE421/ECE1513 - Winter 2019 Electrical and Computer Engineering (ECE) Department Univers...

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  • Power Systems & Machines - University of Toronto

    Improve your prospects of passing the professional engineering examination in Power Systems & Machines for a P.Eng. licence in Canada. It will also help you to .

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  • George E. Dahl

    University of Toronto; Ontario, Canada email: Can be easily derived from the URL for this page. About me. I am currently a research scientist at Google on the Brain team in Mountain View. I graduated from the U of T Machine Learning Group and my supervisor was Geoffrey Hinton. During my PhD, my collaborators and I trained the first successful ...

    Get price

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Founded in 1982, Dekelon Paper Making Machinery Co.,Ltd. has always striven to meet and exceed customer expectations and continue to update and improve...

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