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Machine Learning
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A/B Testing (9) API (1) Artificial Intelligence (32) Automation (6) Automattic (20) best practices (11) Bias in AI (6) Books and Reading (6) Career and Professional Development (14) Causal Inference (1) Communication (15) 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 (3) Transparency in Data (2) WordPress (22) WordPress.com (1) Work Life Balance (6)
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May the Bot Be With You: How Algorithms are Supporting Happiness at WordPress.com
Charles Earl reports on Elfbot, a machine learning project geared to helping Happiness Engineers provide fast, efficient, wonderfully human support to WordPress.com users.
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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.”
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This Week in Data Reading
In this week in data reading, Demet offers up some digital anthropology over at FiveThirtyEight while Charles shares two papers he enjoyed in the field of natural language processing, and Carly offers a piece on back propagation.
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This Week in Data Reading
This week, Boris, Demet, Charles, and Sirin offer pieces on data visualization, deep learning architecture, the “Dirtbag Left,” and an obituary for the late Hans Rosling, a man who “had a talent for using numbers to tell exciting stories” — largely about the world becoming a better place. Enjoy our recommendations below and remember to…
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This Week in Data Reading
This week, Boris and Charles bring you two new resources for data reading and pose some questions for discussion on how you approach scientific literature, and you detect and deal with bias inherent in your applications. Looking forward to your comments!
Data for Breakfast 