Topic
Scientific Communication
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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Investigating Seasonality in a Time Series: A Mystery in Three Parts
Recently, I was asked to determine the extent to which seasonality influenced a particular time series. No problem, right? The statsmodels Python package has a seasonal_decompose function that seemed pretty […]
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We’re Reading About Simplifying Without Distortion and Adversarial Image Classification
Boris and Carly share what they’ve been reading in the field of data science.
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This Week in Data Reading
This week, Boris Gorelik shares his thoughts on a NYU study of “The Persuasive Power of Data Visualization.”
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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!
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Evolution of a Plot: Better Data Visualization, One Step at a Time
The goal of data visualization is to transform numbers into insights. However, default data visualization output often disappoints. Sometimes, the graph shows irrelevant data or misses important aspects; sometimes, the […]
Data for Breakfast 