Fairness (machine learning)

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

What is Machine Learning?

In this video, you’ll learn more about the evolution of machine learning and its impact on daily life. Visit https://www.gcflearnfree.org/thenow/what-is-machine-learning/1/ for our text-based lesson. This video includes information on: • How machine learning works • How machine learning i

From playlist Machine Learning

Introduction To Machine Learning | Machine Learning Basics for Beginners | ML Basics | Simplilearn

Machine Learning is a trending topic nowadays. This Introduction to Machine Learning video will help you to understand what is Machine Learning, importance of Machine Learning, advantages and disadvantages of Machine Learning, what are the types of Machine Learning - supervised, unsupervis

From playlist 🔥Machine Learning | Machine Learning Tutorial For Beginners | Machine Learning Projects | Simplilearn | Updated Machine Learning Playlist 2023

11b Machine Learning: Computational Complexity

Short lecture on the concept of computational complexity.

From playlist Machine Learning

Fairness and robustness in machine learning – a formal methods perspective - Aditya Nori, Microsoft

With the range and sensitivity of algorithmic decisions expanding at a break-neck speed, it is imperative that we aggressively investigate fairness and bias in decision-making programs. First, we show that a number of recently proposed formal definitions of fairness can be encoded as proba

From playlist Logic and learning workshop

Fairness Criteria, Exploring Fairness in Machine Learning

MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020 Instructor: Mike Teodorescu View the complete course: https://ocw.mit.edu/RES-EC-001S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX This video presents the confusion matrix, i

From playlist MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020

(ML 1.1) Machine learning - overview and applications

Attempt at a definition, and some applications of machine learning. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA

From playlist Machine Learning

The mother of all representer theorems for inverse problems & machine learning - Michael Unser

This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai

From playlist Mathematics of data: Structured representations for sensing, approximation and learning

Machine Learning and Human Bias

As researchers and engineers, our goal is to make machine learning technology work for everyone.

From playlist Machine Learning

Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning

MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020 Instructor: Mike Teodorescu View the complete course: https://ocw.mit.edu/RES-EC-001S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX This video presents some examples of dispar

From playlist MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020

Guy Rothblum - Individual Fairness - IPAM at UCLA

Recorded 11 July 2022. Guy Rothblum of Apple Inc. presents "Individual Fairness" at IPAM's Graduate Summer School on Algorithmic Fairness. Abstract: This session will focus on the techniques for achieving individual fairness. Learn more online at: http://www.ipam.ucla.edu/programs/summer-s

From playlist 2022 Graduate Summer School on Algorithmic Fairness

Case Study: Identifying and Mitigating Unintended Demographic Bias in Machine Learning for NLP

MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020 Instructor: Audace Nakeshimana View the complete course: https://ocw.mit.edu/RES-EC-001S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX This video explores a case study on bias

From playlist MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020

Exploring Fairness in Machine Learning: Background

MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020 Instructor: Amit Gandhi View the complete course: https://ocw.mit.edu/RES-EC-001S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX This video presents the motivation and outline

From playlist MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020

DSI | Just machine learning

Just machine learning In this talk, I will address some concerns about the use of machine learning in situations where the stakes are high (such as criminal justice, law enforcement, employment decisions, credit scoring, health care, public eligibility assessment, and school assignments).

From playlist DSI Virtual Seminar Series

AIMI Symposium 2020 - Session 5: Fairness in Clinical Machine Learning

Session 5 focuses on issues of equity, bias, and strategies to achieve fairness in clinical AI applications 00:00 - Session Overview Kristen Yeom - Associate Professor of Radiology and, by courtesy, of Neurosurgery; Stanford 00:41 - AI, Medicine, & Bias: Diversifying Your Dataset is Not

From playlist Rachel Thomas videos

AI Fariness and Adversarial Debiasing

Speaker(s): David Van Bruwaene Facilitator(s): Find the recording, slides, and more info at https://ai.science/e/how-the-board-of-directors-got-their-start-with-adversarial-debiasing--4tJcydU0OxWYpORF6cPl Motivation / Abstract Designing governance systems for AI is challenging on mult

From playlist AI Products

Python Machine Learning - Class 6 | Data Modeling - Feature Engineering | Machine Learning | Edureka

🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine-learning-certification-training This Edureka video on 'Data Modeling - Feature Engineering' is the sixth class in the Python Machine Learning Series which gives a brief about feature engineering techniques to

From playlist Edureka Live Classes 2020

Solar Lighting Example, Exploring Fairness in Machine Learning

MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020 Instructor: Amit Gandhi View the complete course: https://ocw.mit.edu/RES-EC-001S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX This video presents a case study in which a gov

From playlist MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020

NATS & Turing EPSRC Prosperity Synthetic Data Generation and Assessment - Mihaela van der Schaar

Introduction The Innovation Symposium was established in 2019 as part of the ongoing collaboration between Accenture and The Alan Turing Institute. Our recently launched strategic partnership has the following goals: - Delivering value from AI and data - Enabling safe and robust applicat

From playlist Innovation Symposium 2021

What Is Supervised Learning In Machine Learning? | Machine Learning For Beginners | Simplilearn

This video on What is Supervised Learning in machine learning will take you through a detailed concept of Supervised Learning. This video will help you to understand What is Machine Learning, what is supervised learning, how supervised learning works, the advantages and disadvantages of su

From playlist 🔥Machine Learning | Machine Learning Tutorial For Beginners | Machine Learning Projects | Simplilearn | Updated Machine Learning Playlist 2023