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Data Science

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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)

  • Boris Gorelik's avatar

    Boris Gorelik

    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…

  • Krista Stevens's avatar

    Krista Stevens

    This Week in Data Reading

    This week, Charles, Xaio, Chris, and Boris share pieces on machine learning, MySQL, pop lyrics, and career advice.

  • Krista Stevens's avatar

    Krista Stevens

    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.

  • Carly Stambaugh's avatar

    Carly Stambaugh

    How’s Your New Year’s Resolution Going?

    Talking with friends last week, many of us sheepishly admitted that we have already “broken” our 2017 resolutions. According to a popularly cited study by Norcross in 2002, only 64% […]

  • Krista Stevens's avatar

    Krista Stevens

    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!