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<title>UP Data Science Society</title>
<link>https://updssoc.pages.dev/post</link>
<description>A UP-wide community of data-driven individuals.</description>
<language>en</language>
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<item><title>The philosopher's place in an algorithmic world</title><link>https://updssoc.pages.dev/post/philosophy-of-ai-muller</link><guid>https://updssoc.pages.dev/post/philosophy-of-ai-muller</guid><pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate><description>A commentary on Vincent C. Müller's chapter Philosophy of AI, and on why questions about meaning, thinking, and ethics belong next to the data scientist's work.</description></item>
<item><title>Which models forecast commodity prices best?</title><link>https://updssoc.pages.dev/post/forecasting-commodity-prices-machine-learning</link><guid>https://updssoc.pages.dev/post/forecasting-commodity-prices-machine-learning</guid><pubDate>Wed, 20 May 2026 00:00:00 GMT</pubDate><description>A 2024 study compared eight forecasting methods on ten years of prices for 14 commodities and found decision tree regressors and LSTMs the most dependable.</description></item>
<item><title>Flagging at-risk students with data the registrar already has</title><link>https://updssoc.pages.dev/post/depression-early-detection-filipino-students</link><guid>https://updssoc.pages.dev/post/depression-early-detection-filipino-students</guid><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><description>A 2025 study of 1,585 college students in Quezon Province trained a LightGBM model that predicts depressive tendencies from demographic data alone with 94 percent accuracy.</description></item>
<item><title>Can a photo of your face screen for diabetes?</title><link>https://updssoc.pages.dev/post/diabetest-facial-texture-diabetes-screening</link><guid>https://updssoc.pages.dev/post/diabetest-facial-texture-diabetes-screening</guid><pubDate>Wed, 22 Apr 2026 00:00:00 GMT</pubDate><description>DiabeTest, a 2024 TENCON paper by Pulmano, Salvador, Guico, and Galicia, tests an Android app that looks for signs of type 2 diabetes in facial skin texture.</description></item>
<item><title>What quantitative trading is, and why humans still matter</title><link>https://updssoc.pages.dev/post/quantitative-trading-explained</link><guid>https://updssoc.pages.dev/post/quantitative-trading-explained</guid><pubDate>Sat, 11 Apr 2026 00:00:00 GMT</pubDate><description>An explainer on quant trading based on Callum McDougall's Quant Trading Guide, with a short Python example that plots moving averages and RSI for Apple stock.</description></item>
<item><title>DataSci Wrapped, a year in review for data science</title><link>https://updssoc.pages.dev/post/datasci-wrapped</link><guid>https://updssoc.pages.dev/post/datasci-wrapped</guid><pubDate>Tue, 17 Feb 2026 00:00:00 GMT</pubDate><description>Andrian Maagma built a Spotify Wrapped-style web app that turns worldwide data science statistics into a scroll-through experience and generates a personal wrapped from your coding activity.</description></item>
<item><title>HearthCraft, a 40,000-player Minecraft server turned into an online archive</title><link>https://updssoc.pages.dev/post/hearthcraft-minecraft-archive</link><guid>https://updssoc.pages.dev/post/hearthcraft-minecraft-archive</guid><pubDate>Fri, 13 Feb 2026 00:00:00 GMT</pubDate><description>Simonee Mariquit built a website that preserves the history of HearthCraft, a survival multiplayer server that ran from 2018 until it shut down in 2025.</description></item>
<item><title>Geoffrey Hinton, the pioneer who now warns about his own field</title><link>https://updssoc.pages.dev/post/geoffrey-hinton-godfather-of-ai</link><guid>https://updssoc.pages.dev/post/geoffrey-hinton-godfather-of-ai</guid><pubDate>Thu, 05 Feb 2026 00:00:00 GMT</pubDate><description>An explainer on Geoffrey Hinton, whose work on neural networks and backpropagation made modern AI possible, and who has spent recent years warning about where it is going.</description></item>
<item><title>How much water does a chatbot drink?</title><link>https://updssoc.pages.dev/post/making-ai-less-thirsty</link><guid>https://updssoc.pages.dev/post/making-ai-less-thirsty</guid><pubDate>Sat, 31 Jan 2026 00:00:00 GMT</pubDate><description>A study by Li, Yang, Islam, and Ren estimates that training GPT-3 consumed about 700,000 liters of freshwater and that a short ChatGPT session uses about a 500 mL bottle.</description></item>
<item><title>How people in different cultures talk to a chatbot about sadness</title><link>https://updssoc.pages.dev/post/can-ai-understand-how-we-feel</link><guid>https://updssoc.pages.dev/post/can-ai-understand-how-we-feel</guid><pubDate>Fri, 08 Aug 2025 00:00:00 GMT</pubDate><description>A 2023 study of 152,783 SimSimi chats found that Eastern and Western users express sadness differently, and that a classifier can sort those chats into emotional topics.</description></item>
<item><title>What machine learning can and cannot do for mental health</title><link>https://updssoc.pages.dev/post/ai-mental-health-early-detection</link><guid>https://updssoc.pages.dev/post/ai-mental-health-early-detection</guid><pubDate>Mon, 28 Jul 2025 00:00:00 GMT</pubDate><description>A 2024 review surveys how machine learning and deep learning are being used to detect and manage depression, bipolar disorder, and schizophrenia.</description></item>
<item><title>AI in government and the fair allocation of resources</title><link>https://updssoc.pages.dev/post/ai-in-government-equity</link><guid>https://updssoc.pages.dev/post/ai-in-government-equity</guid><pubDate>Thu, 24 Apr 2025 00:00:00 GMT</pubDate><description>A 2024 review of how predictive analytics, open data, and automated auditing can make public resource allocation fairer, and what governments need in place first.</description></item>
<item><title>Arthur Lee Samuel, the father of machine learning</title><link>https://updssoc.pages.dev/post/arthur-samuel-father-of-machine-learning</link><guid>https://updssoc.pages.dev/post/arthur-samuel-father-of-machine-learning</guid><pubDate>Tue, 25 Mar 2025 00:00:00 GMT</pubDate><description>The engineer who taught an IBM 701 to play checkers better than he could, and gave the field its name.</description></item>
<item><title>Their contributions cannot be erased</title><link>https://updssoc.pages.dev/post/international-womens-day-2025</link><guid>https://updssoc.pages.dev/post/international-womens-day-2025</guid><pubDate>Sat, 08 Mar 2025 00:00:00 GMT</pubDate><description>On International Women's Day 2025, the society honored women in data science and objected to the removal of Dr. Reinabelle Reyes from a physics event poster.</description></item>
<item><title>Using data science to find human trafficking fronts</title><link>https://updssoc.pages.dev/post/data-science-vs-human-trafficking</link><guid>https://updssoc.pages.dev/post/data-science-vs-human-trafficking</guid><pubDate>Tue, 25 Feb 2025 00:00:00 GMT</pubDate><description>Booz Allen Hamilton and the nonprofit Polaris used a Naive Bayes classifier on business names to grow a hand-built map of 35 suspected trafficking fronts to 900.</description></item>
<item><title>Starting your data science journey</title><link>https://updssoc.pages.dev/post/starting-your-data-science-journey</link><guid>https://updssoc.pages.dev/post/starting-your-data-science-journey</guid><pubDate>Wed, 12 Feb 2025 00:00:00 GMT</pubDate><description>A beginner's roadmap that starts where the UP Data Science Society Infoseries did, with variables and measures of central tendency, and points to free resources for each stage after that.</description></item>
<item><title>Predicting personality traits from how people play shooter games</title><link>https://updssoc.pages.dev/post/gamers-personality-machine-learning</link><guid>https://updssoc.pages.dev/post/gamers-personality-machine-learning</guid><pubDate>Fri, 09 Aug 2024 00:00:00 GMT</pubDate><description>A 2023 study built its own mobile shooter, collected play data from real users, and trained models to predict Big Five traits from it.</description></item>
<item><title>How machines learn</title><link>https://updssoc.pages.dev/post/how-machines-learn</link><guid>https://updssoc.pages.dev/post/how-machines-learn</guid><pubDate>Wed, 07 Aug 2024 00:00:00 GMT</pubDate><description>A plain introduction to machine learning, based on IBM's explainer on what the term means and how a model improves.</description></item>
<item><title>Alan Turing, a pioneer in computation and artificial intelligence</title><link>https://updssoc.pages.dev/post/alan-turing-pride-month</link><guid>https://updssoc.pages.dev/post/alan-turing-pride-month</guid><pubDate>Mon, 01 Jul 2024 00:00:00 GMT</pubDate><description>For Pride Month 2024, the society looked back on Alan Turing, whose work on computation, the Turing test, and codebreaking underpins modern data science.</description></item>
<item><title>Measuring sleep quality from heart and muscle signals</title><link>https://updssoc.pages.dev/post/sleep-quality-ecg-emg-machine-learning</link><guid>https://updssoc.pages.dev/post/sleep-quality-ecg-emg-machine-learning</guid><pubDate>Fri, 24 May 2024 00:00:00 GMT</pubDate><description>Researchers in Surabaya combined ECG and EMG readings with a fatigue questionnaire and trained classifiers to estimate how well a person slept.</description></item>
<item><title>Geographic information systems in the Philippines</title><link>https://updssoc.pages.dev/post/gis-in-the-philippines</link><guid>https://updssoc.pages.dev/post/gis-in-the-philippines</guid><pubDate>Fri, 03 May 2024 00:00:00 GMT</pubDate><description>What a geographic information system is made of, who provides GIS services in the Philippines, and where the technology is already used.</description></item>
<item><title>Inspecting infrastructure with drones and deep learning</title><link>https://updssoc.pages.dev/post/infrastructure-defect-detection</link><guid>https://updssoc.pages.dev/post/infrastructure-defect-detection</guid><pubDate>Fri, 03 May 2024 00:00:00 GMT</pubDate><description>CUBIT-Det is an open dataset of more than 5,500 high-resolution images of cracks, spalling, and moisture, collected by unmanned vehicles and benchmarked against more than 25 detection models.</description></item>
<item><title>How much typhoon damage the Visayas transport network can take</title><link>https://updssoc.pages.dev/post/typhoon-relief-transport-network</link><guid>https://updssoc.pages.dev/post/typhoon-relief-transport-network</guid><pubDate>Fri, 12 Apr 2024 00:00:00 GMT</pubDate><description>A UP study modeled the roads and sea routes of the Visayas as a network and found that damaging just 1 percent of it cuts off 30 town centers and doubles relief delivery times elsewhere.</description></item>
<item><title>A library that knows which books you will like</title><link>https://updssoc.pages.dev/post/favorite-book-prediction-smart-library</link><guid>https://updssoc.pages.dev/post/favorite-book-prediction-smart-library</guid><pubDate>Fri, 26 Jan 2024 00:00:00 GMT</pubDate><description>A 2023 paper compares seven tree-based algorithms on the task of predicting a reader's favorite books from a library catalog.</description></item>
<item><title>Detecting bias in Philippine political news with machine learning</title><link>https://updssoc.pages.dev/post/bias-detection-philippine-political-news</link><guid>https://updssoc.pages.dev/post/bias-detection-philippine-political-news</guid><pubDate>Fri, 19 Jan 2024 00:00:00 GMT</pubDate><description>A University of San Carlos study scored political articles from five Philippine outlets for sentiment and used an inverse reinforcement model to flag bias.</description></item>
<item><title>PlastiCount Pilipinas, an open database of marine plastics</title><link>https://updssoc.pages.dev/post/plasticount-marine-plastics</link><guid>https://updssoc.pages.dev/post/plasticount-marine-plastics</guid><pubDate>Tue, 16 Jan 2024 00:00:00 GMT</pubDate><description>The Philippines is often ranked a top marine plastic polluter on estimates rather than measurements; PlastiCount Pilipinas is the first open national database that collects what has actually been counted.</description></item>
<item><title>Finance, schooling, and institutions in the ecological footprint of emerging economies</title><link>https://updssoc.pages.dev/post/financial-development-ecological-footprint</link><guid>https://updssoc.pages.dev/post/financial-development-ecological-footprint</guid><pubDate>Tue, 19 Dec 2023 00:00:00 GMT</pubDate><description>A 2022 study in Gondwana Research finds that financial development raises the ecological footprint of emerging countries, while human capital and strong institutions pull it down.</description></item>
<item><title>Predicting the heat that bleaches coral, two weeks ahead</title><link>https://updssoc.pages.dev/post/coral-reefs-sea-surface-temperature-deep-learning</link><guid>https://updssoc.pages.dev/post/coral-reefs-sea-surface-temperature-deep-learning</guid><pubDate>Fri, 08 Dec 2023 00:00:00 GMT</pubDate><description>A ConvLSTM forecasts sea surface temperature around a Taiwanese marine park at over 98 percent accuracy, and a random forest tells which typhoons will cool the water enough to spare the reefs.</description></item>
<item><title>Predicting the side effects of radiation therapy before treatment starts</title><link>https://updssoc.pages.dev/post/head-and-neck-cancer-radiation-toxicity</link><guid>https://updssoc.pages.dev/post/head-and-neck-cancer-radiation-toxicity</guid><pubDate>Tue, 05 Dec 2023 00:00:00 GMT</pubDate><description>MD Anderson researchers trained models on 2,121 courses of head and neck radiation therapy to predict weight loss and feeding tube placement with clinically useful accuracy.</description></item>
<item><title>FasterRisk builds risk scores you can compute on an index card</title><link>https://updssoc.pages.dev/post/fasterrisk-interpretable-risk-scores</link><guid>https://updssoc.pages.dev/post/fasterrisk-interpretable-risk-scores</guid><pubDate>Tue, 28 Nov 2023 00:00:00 GMT</pubDate><description>A Duke University method uses beam search and a "star ray" rounding step to generate a pool of sparse integer risk scores from data, beating RiskSLIM on accuracy and runtime.</description></item>
<item><title>When did the news stop being about the virus and start being about the economy?</title><link>https://updssoc.pages.dev/post/covid-economic-news-agenda-setting</link><guid>https://updssoc.pages.dev/post/covid-economic-news-agenda-setting</guid><pubDate>Fri, 09 Jun 2023 00:00:00 GMT</pubDate><description>Natural language processing on 350,000 articles from January to August 2020 shows health coverage dominating the first weeks of COVID-19, with economic stories rising as case growth slowed.</description></item>
<item><title>What predicted stress, anxiety, and depression among Filipinos during COVID-19</title><link>https://updssoc.pages.dev/post/covid-mental-health-philippines-machine-learning</link><guid>https://updssoc.pages.dev/post/covid-mental-health-philippines-machine-learning</guid><pubDate>Fri, 26 May 2023 00:00:00 GMT</pubDate><description>Feature selection and classifiers on a 2,119-person survey point to self-rated health, pre-existing conditions, age, time at home, and social media use as predictors of pandemic mental health outcomes.</description></item>
<item><title>Can Facebook and Twitter posts stand in for fire reports? A Cebu City test</title><link>https://updssoc.pages.dev/post/social-media-fire-data-cebu</link><guid>https://updssoc.pages.dev/post/social-media-fire-data-cebu</guid><pubDate>Fri, 28 Apr 2023 00:00:00 GMT</pubDate><description>Classifying 474 Cebu City posts with the keywords "fire" and "sunog," researchers found social media tracks high-severity fires and correlates 72.8 percent with official Bureau of Fire Protection records.</description></item>
<item><title>Twenty-two years of sneaker design, read by a neural network</title><link>https://updssoc.pages.dev/post/sneaker-design-history</link><guid>https://updssoc.pages.dev/post/sneaker-design-history</guid><pubDate>Fri, 27 Jan 2023 00:00:00 GMT</pubDate><description>Embeddings of 23,492 StockX sneaker images show brands converging on color and pastel tones since 2015 while staying distinct in shape.</description></item>
<item><title>Comfort pick or meta pick? Predicting League of Legends matches from champion experience</title><link>https://updssoc.pages.dev/post/league-of-legends-player-champion-experience</link><guid>https://updssoc.pages.dev/post/league-of-legends-player-champion-experience</guid><pubDate>Fri, 09 Dec 2022 00:00:00 GMT</pubDate><description>A deep neural network predicted ranked League of Legends outcomes with 75 percent accuracy using only how experienced each player was on the champion they locked in.</description></item>
<item><title>How Genshin Impact writes men and women, measured from 800,000 words of dialogue</title><link>https://updssoc.pages.dev/post/gender-in-genshin-impact</link><guid>https://updssoc.pages.dev/post/gender-in-genshin-impact</guid><pubDate>Fri, 18 Nov 2022 00:00:00 GMT</pubDate><description>A corpus-assisted discourse analysis of Genshin Impact quest dialogue finds men described through physical action and confidence, women through work, rank, and domestic ties.</description></item>
<item><title>Where and when pedestrians get hit on Metro Manila's national roads</title><link>https://updssoc.pages.dev/post/pedestrian-crashes-metro-manila</link><guid>https://updssoc.pages.dev/post/pedestrian-crashes-metro-manila</guid><pubDate>Fri, 04 Nov 2022 00:00:00 GMT</pubDate><description>Three years of Metro Manila crash records show pedestrian crashes cluster on bad road surfaces and busy land use, and turn fatal with elderly victims, heavy vehicles, and late-night hours.</description></item>
<item><title>Who has long COVID? Finding patients in health records with XGBoost</title><link>https://updssoc.pages.dev/post/long-covid-machine-learning</link><guid>https://updssoc.pages.dev/post/long-covid-machine-learning</guid><pubDate>Fri, 14 Oct 2022 00:00:00 GMT</pubDate><description>With no agreed definition of long COVID, Pfaff, Girvin, and colleagues trained models on electronic health records to find likely patients, reaching an AUROC of 0.91.</description></item>
<item><title>What Philippine fake news sounds like, according to a classifier</title><link>https://updssoc.pages.dev/post/fake-news-linguistic-cues-philippines</link><guid>https://updssoc.pages.dev/post/fake-news-linguistic-cues-philippines</guid><pubDate>Fri, 07 Oct 2022 00:00:00 GMT</pubDate><description>Using a corpus of 22,458 Philippine news articles, Fernandez and Devaraj found that fake news has wordier headlines and fewer sentences, and can be classified from the headline alone.</description></item>
<item><title>Is it the driver or the car? A Bayesian look at Formula One</title><link>https://updssoc.pages.dev/post/formula-one-driver-skill-bayesian</link><guid>https://updssoc.pages.dev/post/formula-one-driver-skill-bayesian</guid><pubDate>Fri, 23 Sep 2022 00:00:00 GMT</pubDate><description>A Bayesian multilevel model of 2014 to 2021 race results separates driver skill from constructor advantage, and finds the car matters more.</description></item>
<item><title>How DALL-E 2 turns a sentence into a picture</title><link>https://updssoc.pages.dev/post/dall-e-2-text-to-image</link><guid>https://updssoc.pages.dev/post/dall-e-2-text-to-image</guid><pubDate>Fri, 10 Jun 2022 00:00:00 GMT</pubDate><description>DALL-E 2 chains CLIP, which links words to images, with a diffusion model that draws the image; human raters preferred its output over the earlier GLIDE model.</description></item>
<item><title>A neural network that classifies skin cancer as well as dermatologists</title><link>https://updssoc.pages.dev/post/skin-cancer-deep-neural-networks</link><guid>https://updssoc.pages.dev/post/skin-cancer-deep-neural-networks</guid><pubDate>Fri, 27 May 2022 00:00:00 GMT</pubDate><description>A convolutional neural network trained on 129,450 clinical images matched board-certified dermatologists at telling skin lesions apart, and could one day run on a phone.</description></item>
<item><title>Catching the momentum effect in crypto with machine learning</title><link>https://updssoc.pages.dev/post/crypto-momentum-machine-learning</link><guid>https://updssoc.pages.dev/post/crypto-momentum-machine-learning</guid><pubDate>Fri, 06 May 2022 00:00:00 GMT</pubDate><description>A 2022 study trains classifiers to predict overreaction days in Bitcoin, Ethereum, and Litecoin, and finds they earn more per trade than hand-written momentum rules.</description></item>
<item><title>Screening for COVID-19 from the sound of a cough</title><link>https://updssoc.pages.dev/post/covid-19-cough-classification</link><guid>https://updssoc.pages.dev/post/covid-19-cough-classification</guid><pubDate>Fri, 29 Apr 2022 00:00:00 GMT</pubDate><description>Pahar, Klopper, Warren, and Niesler trained seven classifiers on smartphone cough recordings. A Resnet50 reached an AUC of 0.98, and an LSTM transferred to a second dataset at 0.94.</description></item>
<item><title>Predicting Billboard hits from Spotify data</title><link>https://updssoc.pages.dev/post/billboard-hit-prediction-spotify</link><guid>https://updssoc.pages.dev/post/billboard-hit-prediction-spotify</guid><pubDate>Fri, 01 Apr 2022 00:00:00 GMT</pubDate><description>Middlebrook and Sheik merged 1.8 million Spotify tracks with the Billboard Hot 100 and trained four models to tell hits from non-hits. Random forest was the most balanced; SVM almost never called a false hit.</description></item>
<item><title>Predicting a stock's closing price with a neural network</title><link>https://updssoc.pages.dev/post/stock-closing-price-prediction</link><guid>https://updssoc.pages.dev/post/stock-closing-price-prediction</guid><pubDate>Fri, 25 Mar 2022 00:00:00 GMT</pubDate><description>Vijh, Chandola, Tikkiwal, and Kumar built six features from ten years of daily prices for five companies and compared a neural network against a random forest at predicting the next day's close.</description></item>
<item><title>Forecasting the Olympic medal table from socioeconomic data</title><link>https://updssoc.pages.dev/post/forecasting-olympic-medals-machine-learning</link><guid>https://updssoc.pages.dev/post/forecasting-olympic-medals-machine-learning</guid><pubDate>Fri, 18 Mar 2022 00:00:00 GMT</pubDate><description>A two-stage random forest trained on GDP, population, athlete counts, and health indicators predicted Tokyo 2020 medal totals better than the naive "same as last time" model.</description></item>
<item><title>Predicting NBA games with Elo ratings and machine learning</title><link>https://updssoc.pages.dev/post/predicting-nba-games-machine-learning</link><guid>https://updssoc.pages.dev/post/predicting-nba-games-machine-learning</guid><pubDate>Fri, 11 Mar 2022 00:00:00 GMT</pubDate><description>Three University of Pennsylvania students combined Elo ratings with team statistics to predict NBA game outcomes at about 67 percent accuracy.</description></item>
<item><title>Predicting breast cancer recurrence with machine learning classifiers</title><link>https://updssoc.pages.dev/post/breast-cancer-recurrence-classifiers</link><guid>https://updssoc.pages.dev/post/breast-cancer-recurrence-classifiers</guid><pubDate>Fri, 07 Jan 2022 00:00:00 GMT</pubDate><description>Magboo and Magboo ran four classifiers under four data configurations on the Wisconsin Prognostic Breast Cancer dataset. Logistic regression came out ahead in most of them.</description></item>
<item><title>Resbakuna: how Filipinos on Twitter felt about COVID-19 vaccines</title><link>https://updssoc.pages.dev/post/resbakuna-twitter-sentiment-covid-vaccines</link><guid>https://updssoc.pages.dev/post/resbakuna-twitter-sentiment-covid-vaccines</guid><pubDate>Fri, 17 Dec 2021 00:00:00 GMT</pubDate><description>A Naive Bayes classifier trained on tweets from the first month of the national vaccination rollout found that about 83 percent expressed a positive attitude toward the vaccines.</description></item>
<item><title>Telling a coconut's age by tapping it</title><link>https://updssoc.pages.dev/post/coconut-maturity-acoustic-machine-learning</link><guid>https://updssoc.pages.dev/post/coconut-maturity-acoustic-machine-learning</guid><pubDate>Fri, 10 Dec 2021 00:00:00 GMT</pubDate><description>Filipino researchers recorded the sound of knocking on coconuts and trained three classifiers to sort them by maturity. Random forest did best, at 83 percent on unseen fruit.</description></item>
<item><title>Predicting where COVID-19 spreads next with network analysis</title><link>https://updssoc.pages.dev/post/covid-19-network-analysis-virus-spread</link><guid>https://updssoc.pages.dev/post/covid-19-network-analysis-virus-spread</guid><pubDate>Fri, 03 Dec 2021 00:00:00 GMT</pubDate><description>A 2021 study combined anonymised phone location data with case counts to build location networks, then trained a model that predicted next week's outbreak areas with about 90 percent sensitivity.</description></item>
<item><title>Finding gold and copper in Catanduanes with random forests</title><link>https://updssoc.pages.dev/post/random-forest-mineral-prospectivity-catanduanes</link><guid>https://updssoc.pages.dev/post/random-forest-mineral-prospectivity-catanduanes</guid><pubDate>Fri, 26 Nov 2021 00:00:00 GMT</pubDate><description>Carranza and Laborte trained a random forest on 17 known gold-copper deposits in Catanduanes Island and compared it with an earlier evidential belief model of the same ground.</description></item>
<item><title>Reading Taylor Swift's albums with natural language processing</title><link>https://updssoc.pages.dev/post/taylor-swift-lyrics-nlp</link><guid>https://updssoc.pages.dev/post/taylor-swift-lyrics-nlp</guid><pubDate>Fri, 19 Nov 2021 00:00:00 GMT</pubDate><description>Ian Freed built a topic model over every Taylor Swift lyric from 2006 to 2017 and tracked how the themes shifted from album to album.</description></item>
<item><title>How Netflix builds a homepage just for you</title><link>https://updssoc.pages.dev/post/netflix-personalized-homepage</link><guid>https://updssoc.pages.dev/post/netflix-personalized-homepage</guid><pubDate>Fri, 12 Nov 2021 00:00:00 GMT</pubDate><description>Netflix engineers Chris Alvino and Justin Basilico explain how the service went from rule-based row ordering to a learned page layout, and why it matters when 80 percent of viewing comes from recommendations.</description></item>
<item><title>Your odds of surviving the Squid Game glass bridge</title><link>https://updssoc.pages.dev/post/squid-game-glass-bridge-survival</link><guid>https://updssoc.pages.dev/post/squid-game-glass-bridge-survival</guid><pubDate>Fri, 05 Nov 2021 00:00:00 GMT</pubDate><description>Christian Koguchi ran the fifth game 50,000 times in a Monte Carlo simulation. The last player survives 99.99 percent of the time, and about seven of sixteen make it across.</description></item>
<item><title>Get to know a data scientist: Thompson Alec Go</title><link>https://updssoc.pages.dev/post/thompson-alec-go-data-science-journey</link><guid>https://updssoc.pages.dev/post/thompson-alec-go-data-science-journey</guid><pubDate>Mon, 24 May 2021 00:00:00 GMT</pubDate><description>A Clothing Technology graduate who taught himself to code after work and moved from garment design into data science, on what the job actually involves and how to prepare for it.</description></item>
<item><title>Analyzing Twitter trends with Python</title><link>https://updssoc.pages.dev/post/twitter-trends-analysis-python</link><guid>https://updssoc.pages.dev/post/twitter-trends-analysis-python</guid><pubDate>Tue, 18 May 2021 00:00:00 GMT</pubDate><description>The three-step process behind a Twitter trend analysis, from collecting tweets to sentiment scoring and mapping, as laid out in a Towards Data Science walkthrough.</description></item>
<item><title>Kaggle and Kaggle Learn, the pros and cons</title><link>https://updssoc.pages.dev/post/kaggle-pros-and-cons</link><guid>https://updssoc.pages.dev/post/kaggle-pros-and-cons</guid><pubDate>Tue, 04 May 2021 00:00:00 GMT</pubDate><description>What Kaggle offers a beginner, where its courses fall short, and why it is still a reasonable place to start.</description></item>
<item><title>The data science of BTS' music</title><link>https://updssoc.pages.dev/post/data-science-of-bts-music</link><guid>https://updssoc.pages.dev/post/data-science-of-bts-music</guid><pubDate>Sun, 02 May 2021 00:00:00 GMT</pubDate><description>Haebichan Jung pulled audio features for BTS, other K-pop groups, and Western artists to ask what makes the group's discography different, starting with how widely their tempos range.</description></item>
<item><title>Do coaches change the outcome of a game?</title><link>https://updssoc.pages.dev/post/do-coaches-matter</link><guid>https://updssoc.pages.dev/post/do-coaches-matter</guid><pubDate>Wed, 10 Mar 2021 00:00:00 GMT</pubDate><description>Berry and Fowler used a randomization method across six leagues to ask whether head coaches matter in the aggregate, and found that in basketball they explain about 30 percent of the variation in points.</description></item>
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