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Deploying Machine Learning Models with Amazon SageMaker

Deploying ML Models with Amazon SageMaker Webinar

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We’re collaborating with machine learning practitioner and instructor Luigi Patruno to bring his course and study group, Building, Deploying, and Monitoring Machine Learning Models with Amazon SageMaker, to the TWIML Community.  Please visit our Building, Deploying, and Monitoring Machine Learning Models with Amazon SageMaker course page to learn more about the course, peruse FAQs, and…

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TWIML Presents: ICML 2020

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Thanks to our sponsor! Qualcomm AI Research is dedicated to advancing AI to make its core capabilities — perception, reasoning, and action — ubiquitous across devices. Their work makes it possible for billions of users around the world to have AI-enhanced experiences on Qualcomm Technologies-powered devices. To learn more about what Qualcomm is up to…

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2020 Model Explainability Forum

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The use of machine learning in business, government, and other settings that require users to understand the model’s predictions has exploded in recent years. This growth, combined with the increased popularity of opaque ML models like deep learning, has led to the development of a thriving field of model explainability research and practice.  In this…

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Banner: Quantum Machine Learning: The Next Frontier?

Live Viewing Party: Quantum Machine Learning: The Next Frontier?

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Join us at 3pm ET / 12pm PT on Monday, August 3rd for another live TWIML watch party and AMA session featuring Iordanis Kerenidis, Research Director at CNRS Paris and Head of Quantum Algorithms at QC Ware. In our interview, we explored questions like: What machine learning applications can quantum computing be applied to? What…

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2020 The Great ML Language Un-Debate

The Great ML Language (Un)Debate

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Use Python? We need your input! Take our survey to help us better understand the Python data science ecosystem. It only takes 3 minutes and as token of our appreciation we’ll be selecting three lucky winners to receive a $25 Amazon gift card. Take the Survey The Great ML Language (Un)Debate is the latest in…

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Webinar: Building, Deploying, and Monitoring Machine Learning Models with Amazon SageMaker by Luigi Patruno

Building, Deploying, and Monitoring Machine Learning Models with Amazon SageMaker Webinar

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Register Now! Send me the weekly TWIML newsletter. I consent to having this website store my submitted information in order to respond to my request.* We’re collaborating with machine learning practitioner and instructor Luigi Patruno to bring his course and study group, Building, Deploying, and Monitoring Machine Learning Models with Amazon SageMaker, to the TWIML…

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Bias in AI: Taking the Broad View

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The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, sparked a great deal of it. PULSE proposes a new approach to the image super-resolution problem, i.e. generating a faithful higher-resolution version of a low…

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Last Chance to Enroll - Causal Modeling in ML - Summer 2020

Last Chance to Register: Causal Modeling in ML course

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Reminder: Today is the last day to enroll in Causal Modeling in Machine Learning. Over the past few years, causality and causal modeling has become a very hot topic in machine learning. Yoshua Bengio and other ML luminaries are excited about its potential to help address pressing issues like transparency and bias that limit our…

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TWIML Presents: CVPR 2020

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Thanks to our sponsor! Qualcomm AI Research is dedicated to advancing AI to make its core capabilities — perception, reasoning, and action — ubiquitous across devices. Their work makes it possible for billions of users around the world to have AI-enhanced experiences on Qualcomm Technologies-powered devices. To learn more about what Qualcomm is up to…

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Register Now: Causal Modeling in Machine Learning Webinar (June 25th at 10am PST / 1pm EST)

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Causality and causal modeling is one of the hottest topics in machine learning. Earlier this year we launched a new causality course and study group with instructor Robert Osazuwa Ness, which received great feedback from students: “I liked the course very much. Robert did a great job of reaching out to students to understand their…

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