A few useful things to know about machine learning
Bibliographic Data
| ID | 23328663 |
|---|---|
| Authors | Pedro Domingos (0000-0003-4523-5631, University of Washington, Seattle, corresponding author) |
| Year | 2012 |
| Volume | 55 |
| Issue | 10 |
| Pages | 78-87 |
| Publication date | 2012-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Communications of the ACM (JOURNAL) |
| Journal identifiers | ISSN: 0001-0782 • E-ISSN: 1557-7317 |
| Publisher | Association for Computing Machinery (ACM) (PUBLISHER) |
| DOI | 10.1145/2347736.2347755 |
| OpenAlex | W2161336914 |
| Language | EN |
| Citations received | 90 |
| References cited | 19 |
Tapping into the "folk knowledge" needed to advance machine learning applications.
Computer security · Machine learning · Need to know · Artificial Intelligence · Bayesian Modeling and Causal Inference · Computer Science · Machine Learning and Algorithms · Machine Learning and Data Classification
Fair synthetic data is not about fairness
Four Theses on Algorithmic Folklore
Interpretabilidade de modelos de aprendizado profundo aplicados ao diagnóstico e prognóstico não supervisionado de falhas
Inteligência artificial e escrita acadêmica
Enchanted Determinism
Bringing Machine Learning and Compositional Semantics Together
Calculating Therapeutic Compliance
Promotion of Health-Harming Products on Instagram
Cacophony
Técnicas big data
Homicidality risk prediction based on ecological systems theory in an early adolescent cohort using machine learning
Industry response to strengthened regulations
Neuroimaging Research
Artificial Communication
Natural Selection
Choosing Prediction Over Explanation in Psychology
Innovation and Design in the Age of Artificial Intelligence
Enhancing Export Competitiveness of SMEs in Sfax
The evolution of psychotherapy
Evaluating Urban Vitality of Street Blocks Based on Multi-Source Geographic Big Data
Mapping the structure of depression biomarker research
Sweeter Than a Swisher’
Co-creation with machine learning
Big Data in Industrial-Organizational Psychology and Human Resource Management
Predicting Fitness Centre Dropout
Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework
Investigating the heterogeneous effects of a massive content moderation intervention via Difference-in-Differences
The AI-Atlas
Spatial Data Science
A multi-modal approach towards mining social media data during natural disasters - A case study of Hurricane Irma
Towards platform observability
Yapay Zekâ Tabanlı Uygulamaların Dini Soruları Cevaplama Yetenekleri
Digital Access as Archival Reconstitution
Social Preferences Toward Humans and Machines
The impact of tree-based machine learning models, length of training data, and quarantine search query on tourist arrival prediction’s accuracy under Covid-19 in Indonesia
Tourism Demand Interval Forecasting Amid Covid-19
The Bright Side of the Moon
The impact of big data on decision‐making, processes and organizational change
Detecting patterns of engagement in a digital cognitive skills training game
Logistic facility identification from spatial time series data
Shaping the Future of Business Sustainability
Sustainable environmental education
Satellite-based Machine Learning modelling of Ecosystem Services indicators
Reversed urbanism
On the feature engineering of building energy data mining
Air Quality Forecast using Convolutional Neural Network for Sustainable Development in Urban Environments
Copyright, compensation, and commons in the music AI industry
Determining Factors for Slum Growth with Predictive Data Mining Methods
Automating the Ooda loop in the age of intelligent machines
The production of prediction
Within-country determinants of political party structures
Annual average daily traffic estimation in England and Wales
Cheap, Quick, and Rigorous
Artificial intelligence in government
Generative bias
Artificial intelligence and democratic legitimacy. The problem of publicity in public authority
Challenges for AI
Values Embedded in Legal Artificial Intelligence
Estimating the outcome of UKs referendum on EU membership using e-petition data and machine learning algorithms
How Artificial Intellegence Can Support Veganism
Rassistische Maschinen
Machine learning in social epidemiology
The impact of increasing returns on knowledge and big data
The Logic of the Synthetic Supplement in Algorithmic Societies
Future proofing expertise
Algorithmic Decision-Making Based on Machine Learning from Big Data
Psychometric and Machine Learning Approaches to Reduce the Length of Scales
Effectively clustering researchers in scientific collaboration networks
Context‐Sensitive Natural Language Generation
Utilizing predictive modeling to enhance policy and practice through improved identification of at-risk clients
Machine-Learned Computational Models Can Enhance the Study of Text and Discourse
Sarcasm detection in microblogs using Naïve Bayes and fuzzy clustering
Deep learning and principal–agent problems of algorithmic governance
Emerging technologies and challenges to nuclear stability
Theory choice, non-epistemic values, and machine learning
Machine understanding and deep learning representation
Turning biases into hypotheses through method
Text mining for social science - The state and the future of computational text analysis in sociology
Boosting Health Campaign Reach and Engagement Through Use of Social Media Influencers and Memes
Machine learning in geography-Past, present, and future
When artificial intelligence comes to the Chinese calligraphic landscape
From rules to examples
Mass personalization
Personalization and probabilities
The ethics of algorithms
How the machine 'thinks
La revanche des neurones
Big Data
Bad machines corrupt good morals
The data explosion
| Unique citing works | 90 |
|---|---|
| Citations per year | 7,5 |
| Citation span | 2014 - 2026 (13) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 79 |