Topic
Automattic
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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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How Communication Density Fuels Automattic
How does meeting in person affect our interpersonal communication at Automattic? Demet Dagdelen reveals all.
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data.coalesce() — Automattic Data Division Meets in Montréal
Want to know what Automattic data wranglers do when they meet up? Carly Stambaugh takes you behind the scenes.
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Time Series Analysis: When “Good Enough” is Good Enough
Anomaly detection and time series forecasting are valuable in monitoring the financial and technical health of an organization. Proper modeling of time series requires accounting for periodic fluctuation; malicious users; data irregularity, saturation or scarcity; sudden peaks and drops. To account for these parameters, the modeler needs to select the proper model family, optimize the…
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Welcoming New Colleagues — a Data-Based Story
Boris Gorelik shows how we use data at Automattic to visualize social connections between Automatticians.
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Bulk Log Analytics With Hive
Leveraging the distributed powers of MapReduce to perform custom log analysis or some one-time queries on the raw data is fast and easy and you don’t even have to build a complicated ETL process to do it. The data engineering team at WordPress.com recently used this approch to query tens of billions of log lines…
Data for Breakfast 