Classification algorithms

Automated Pain Recognition

Automated Pain Recognition (APR) is a method for objectively measuring pain and at the same time represents an interdisciplinary research area that comprises elements of medicine, psychology, psychobiology, and computer science. The focus is on computer-aided objective recognition of pain, implemented on the basis of machine learning. Automated pain recognition allows for the valid, reliable detection and monitoring of pain in people who are unable to communicate verbally. The underlying machine learning processes are trained and validated in advance by means of unimodal or multimodal body signals. Signals used to detect pain may include facial expressions or gestures and may also be of a (psycho-)physiological or paralinguistic nature. To date, the focus has been on identifying pain intensity, but visionary efforts are also being made to recognize the quality, site, and temporal course of pain. However, the clinical implementation of this approach is a controversial topic in the field of pain research. Critics of automated pain recognition argue that pain diagnosis can only be performed subjectively by humans. (Wikipedia).

Automated Pain Recognition
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Image Recognition and Python Part 1

Sample code for this series: http://pythonprogramming.net/image-recognition-python/ There are many applications for image recognition. One of the largest that people are most familiar with would be facial recognition, which is the art of matching faces in pictures to identities. Image rec

From playlist Image Recognition

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How Many Different Types Of Pain Are There?

Episode 1 of 3 Check us out on iTunes! http://apple.co/1TXDZAI Please Subscribe! http://bit.ly/28iQhYC You may have heard of acute vs. chronic pain, but have you heard of nociceptive, non-nociceptive, visceral, and somatic pain? + + + + + + + + Previous Series: How The Heck Do Scienti

From playlist What Is Pain And Why Do We Need It?

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🤗 Tasks: Automatic Speech Recognition

An overview of the Automatic Speech Recognition task. Check out hf.co/tasks/automatic-speech-recognition for more details! Don't have a Hugging Face account? Join now: http://huggingface.co/join Have a question? Checkout the forums: https://discuss.huggingface.co 👾 Join our Discord: http

From playlist Hugging Face Tasks

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Machine Learning

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Machine Learning

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We Don't Know: Pain

How much pain are you in right now? From the outside, it's impossible to tell. The latest in our series on things we don't know explores what science can tell us about pain.

From playlist We Don't Know Series

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Transformer (Attention is all you need)

understanding Transformer with its key concepts (attention, multi head attention, positional encoding, residual connection label smoothing) with example. all machine learning youtube videos from me, https://www.youtube.com/playlist?list=PLVNY1HnUlO26x597OgAN8TCgGTiE-38D6

From playlist Machine Learning

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Removing Your Pain Pump

http://www.nucleushealth.com/ - This 3D medical animation shows viewers how to care for and remove a pain pump. The parts of the pump are explained, along with key signs that the pump is working. #PainPump #Postoperative #analgesic AND13015

From playlist Nucleus Medical Animations in English

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Men vs. Women: Who Handles Pain Better?

Episode 3 of 3 Check us out on iTunes! http://apple.co/1TXDZAI Please Subscribe! http://bit.ly/28iQhYC Whether it's affected by gender or genetics, we all need to feel pain in order to protect our bodies and care for our injuries properly. + + + + + + + + Previous Episode:

From playlist What Is Pain And Why Do We Need It?

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Smooth Precise Surgery With The Aid Of Robotics

Robotic-assisted surgery is opening the doors for patients to receive the best care possible. Join our YouTube channel by clicking here: https://bit.ly/3asNo2n Find us on Instagram: https://bit.ly/3PM21xW Find us on Facebook: https://bit.ly/3t2Huvb Find us on Twitter: https://bit.ly/3wQfX

From playlist Health Chat

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Advancing the State of the Art in Applied Natural Language Processing | Healthcare NLP Summit 2021

Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all Healthcare NLP Summit 2021 sessions: https://www.nlpsummit.org/ Over the past five years, two trends combine

From playlist Healthcare NLP Summit 2021

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Five Best Practices for Chatbot Success | L3-AI 2021

The chatbot value proposition is hard to argue with - the creation of faster, personalized self-service for customers and employees alike is something that every organization wants to adopt - but, current implementations have been lacking. This is because, simply, chatbots are hard - and i

From playlist Level 3 AI Assistant Conference 2021

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GTAC 2013: Android UI Automation

http://g.co/gtac2013 Slides: http://goo.gl/kpJCL Guang Zhu (朱光) and Adam Momtaz, Google As Android gains popularity in the mobile world, application developers and OEM vendors are exploring ways to perform end-to-end UI driven testing of applications or entire platform. With a brief revi

From playlist GTAC 2013

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NLP Industry Survey Analysis: the landscape of natural language use cases in 2020 | NLP Summit 2020

Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/ We recently conducted an industry survey of firms that

From playlist NLP Summit 2020

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DevOpsDays Boston 2019 - DevOps for the Startup by Doran Smestad

DevOps for the Startup: how to efficiently find market fit. by Doran Smestad Most conversations around DevOps and Site Reliability Engineering (SRE) focus on medium to large business. Where there are sufficient funds and enough sprawling infrastructure that a team dedicated to upkeep is r

From playlist DevOpsDays Boston 2019

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Stanford Seminar - Design in an Automated Future, Ovetta Sampson

Ovetta Sampson, VP of Design Machine Learning at Capital One April 22, 2022 Design leaders and their teams often struggle with integrating Design and Data Science for better artificial intelligence product development. In this talk, Ovetta Sampson, VP Head of Design for Machine Learning a

From playlist Stanford Seminars

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Data Science as a Catalyst for Scientific Discovery Michelle Gill, Ph.D. (BenevolentAI)

Michelle Gill explains how data science methodologies and tools can be used to link information from different scientific fields and accelerate discovery in a variety of areas, including the biological sciences. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on:

From playlist JupyterCon in New York 2018

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Humans and the machine: Machine learning in context - Jean-François Puget (IBM Analytics)

Some machine learning proponents claim you only have to provide data to get value. However, reality is a bit more complex. On the way to active analytics for business, we have to answer two big questions: What must happen to data before running machine learning algorithms, and how should m

From playlist Strata Data Conference 2018 - London, United Kingdom

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DevOpsDays Boston 2016- Continuous Improvement and Development Drives... by David Fredricks

DevOpsDays Boston 2016- Continuous Improvement and Development Drives Successful Recruiting: DevOps Style by David Fredricks In my talk, I will share my experiences on how to successfully grow and develop technical teams. My practices are designed to align employer's/employee's values and

From playlist DevOpsDays Boston 2016

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How To Do Image Recognition With Neural Networks | Session 01 | #AI

Don’t forget to subscribe! In this project series, you will learn how to do image recognition with neural networks. This series will cover all the important steps that you need to learn to do image recognition with neural networks. This series will guide you step by step about how you ca

From playlist Image Recognition With Neural Networks

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How does facial recognition work?

Although people have known about the facial recognition technology for some time now, advances in deep learning and faster processing of big data has helped it develop more and more in a short time. The global facial recognition market is growing each and every year. It is being used i

From playlist Radical Innovations

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Quasi-experiment | Random forest | K-nearest neighbors algorithm | Feature (machine learning) | Artificial neural network