Data & Algorithms

September 29, 2023: Dilemma over "Best Practice": How We Could Develop Data Protection Practices in Malawi
September 8, 2023: Definition, Role, and Current Status of Digital Literacy in Malawi #LiteracyDay
April 7, 2023: Three Perspectives on Large Language Models and Their Emerging Applications
March 30, 2023: How Information Flows: From Field Studies to Risk Mitigation
December 4, 2022: Data Are Created, Collected, and Processed by People
November 27, 2022: Fluid People and Blended Society: How Systems Model "Dividuals"
November 11, 2022: Google Cloud Dataflow and Its Positive Impact on Developer Productivity
September 14, 2022: Seeing Past and Present in Coursera "Machine Learning on Google Cloud" Specialization
September 9, 2022: How I Define "Artificial Intelligence"
May 15, 2022: Am I Zombie? Autonomy vs. Recommendations on the Internet
May 7, 2022: What I Like About Microsoft Recommenders Repository
March 20, 2022: It "Was" Ethical: Key Takeaways from UMich's Data Science Ethics Course
March 6, 2022: Serendipity: It's Relevant AND Unexpected
February 27, 2022: Recommender Diversity is NOT Inversion of Similarity
February 20, 2022: Validate, Validate, and Validate Data. But, in terms of what?
January 30, 2022: Data Ethics with Lineage
July 15, 2021: Reviewing Ethical Challenges in Recommender Systems
May 7, 2021: Actionable Insights from Supply Chain Analytics
April 4, 2021: The Essence of Supply Chain Management
March 13, 2021: How Much CO2 Emissions Have Your Flights Made?
February 3, 2021: Practicing D3 Interactive Data Visualization with Fitbit Activity/Sleep Log
January 23, 2021: Datavis 2020: A Free Online Course About D3.js & React
August 29, 2020: What I Think About When I Talk About ML Product
April 11, 2020: What Makes a Good Dashboard: The Rise of Augmented Analytics
February 7, 2020: Why a Data Science Engineer Becomes a Product Manager
November 10, 2019: Rethinking the Role of Data Leaders @ Data Leaders Summit Europe 2019
October 26, 2019: ApacheCon 2019 North America #ACNA19 & Europe #ACEU19
July 13, 2019: User Modeling, Adaptation, Personalization for Marketing #UMAP2019
March 24, 2019: Apache Hivemall in PySpark
November 22, 2018: Attending MLconf SF 2018 #mlconf18
October 26, 2018: Apache Hivemall at #ODSCEurope, #RecSys2018, and #MbedConnect
January 21, 2017: FluRS: A Python Library for Online Item Recommendation
October 3, 2015: Machine Learning Summer School 2015 Kyoto #MLSSKYOTO
April 21, 2015: How to Derive the Normal Equation