Topic
Data Ethics
All Topics
A/B Testing (9) API (1) Artificial Intelligence (31) Automation (6) Automattic (20) best practices (10) Bias in AI (6) Books and Reading (6) Career and Professional Development (14) Causal Inference (1) Communication (14) Conferences and Events (5) Data Analytics (23) Data Discoverability (4) Data Engineering (12) Data Ethics (10) Data Products (1) Data Science (53) Data Speaker Series (4) Data Visualization (23) Deep Learning (3) Distributed Work (8) Diversity and Inclusion (8) Elasticsearch (8) Experimentation (12) Information Retrieval (6) Learning and Education (6) Machine Learning (43) Marketing Analytics (7) Meetup (2) Natural Language Processing (6) Network Analysis (8) Open Source (7) Productivity (10) Python (8) Remote Work (21) Scientific Communication (10) Semantic Search (2) Social Media Analytics (1) Software Engineering (4) Surveys and Research Methods (1) Tech Industry (14) Technology Trends (1) Time Series Analysis (2) Transparency in Data (2) WordPress (21) WordPress.com (1) Work Life Balance (6)
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We’re Reading About Bias in AI, SpaceX, and More
In this installment, we’ve got links to great reading in the field of data science, courtesy of Yanir, Robert, Demet, and yours truly.
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Data Speaker Series: Charles Earl on Discriminatory Artificial Intelligence
Charles Earl on identifying and overcoming bias in machine learning.
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This Week in Data Reading (and Watching!)
This week, we’re bringing you links from Charles, Simon, and Carly featuring neural networks, a video advocating for morality in algorithms, and incredible music made by machines.
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This Week in Data Reading
This week, Sirin, Boris, and Demet have some recommended reading for you in the fields of descriptive data analysis, machine learning, and artificial intelligence.
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This Week in Data Reading (and Watching!)
Two great reads and a YouTube channel await you in this installment of “This Week in Data Reading.”
Data for Breakfast 