<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>Erika Barker — Data Science &amp; Data Journalism</title><link>https://erikabarker.ai/</link><description>Investigating how AI is reshaping our modern world.</description><language>en-us</language><atom:link href="https://erikabarker.ai/feed.xml" rel="self" type="application/rss+xml"/><lastBuildDate>Fri, 23 Oct 2026 21:28:03 GMT</lastBuildDate>
<item><title>What My Z-Score Indicator Taught Me About Chasing Better Numbers</title><link>https://erikabarker.ai/data-analysis/z-score-indicator-lessons/</link><guid isPermaLink="true">https://erikabarker.ai/data-analysis/z-score-indicator-lessons/</guid><description>What moving from HMA to KAMA taught me about Z-scores, backtest overfitting, market regimes, and the limits of better-looking results.</description><pubDate>Fri, 23 Oct 2026 19:54:01 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Data</category><category>Finance</category></item>
<item><title>AI infrastructure: separating investment risk from a bubble story</title><link>https://erikabarker.ai/finance/the-ai-bubble-anatomy-an-end-to-end-analysis-of-structural-risk-and-capital-decay/</link><guid isPermaLink="true">https://erikabarker.ai/finance/the-ai-bubble-anatomy-an-end-to-end-analysis-of-structural-risk-and-capital-decay/</guid><description>How to examine AI capital spending, depreciation, cash flows and power constraints without treating a plausible risk scenario as a proven collapse.</description><pubDate>Mon, 19 Jan 2026 05:01:33 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Finance</category></item>
<item><title>From market mood to Regime Analytics</title><link>https://erikabarker.ai/finance/i-built-a-serverless-dashboard-that-predicts-market-mood/</link><guid isPermaLink="true">https://erikabarker.ai/finance/i-built-a-serverless-dashboard-that-predicts-market-mood/</guid><description>The retired economic-dashboard prototype that helped shape Erika Barker’s interest in predictive analytics and statistical market regimes.</description><pubDate>Thu, 25 Sep 2025 15:19:07 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Finance</category><category>Projects</category></item>
<item><title>Palantir and the price of moving faster</title><link>https://erikabarker.ai/data-analysis/the-palantir-paradox-democracys-most-dangerous-servant/</link><guid isPermaLink="true">https://erikabarker.ai/data-analysis/the-palantir-paradox-democracys-most-dangerous-servant/</guid><description>My military procurement experience helps me understand Palantir’s appeal. It also leaves me asking what faster decisions cost democratic accountability.</description><pubDate>Sat, 28 Jun 2025 14:48:51 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Data</category><category>Culture</category></item>
<item><title>What the data says about the American middle class</title><link>https://erikabarker.ai/culture/the-shrinking-middle-class-will-america-collapse-by-2032/</link><guid isPermaLink="true">https://erikabarker.ai/culture/the-shrinking-middle-class-will-america-collapse-by-2032/</guid><description>How to interpret changes in middle-income population share without confusing income, wealth, money velocity or a prediction of national collapse.</description><pubDate>Sun, 16 Feb 2025 17:09:15 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Culture</category><category>Data</category><category>Finance</category><category>Tech &amp; AI</category></item>
<item><title>Gradient boosting: how the trees learn together</title><link>https://erikabarker.ai/tech/why-gradient-boosting-decision-trees-are-taking-over-data-science-and-why-you-should-care/</link><guid isPermaLink="true">https://erikabarker.ai/tech/why-gradient-boosting-decision-trees-are-taking-over-data-science-and-why-you-should-care/</guid><description>An explanation of boosting, loss functions and regularization, with practical limits on interpretability and financial-model evaluation.</description><pubDate>Tue, 07 Jan 2025 21:14:54 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Tech &amp; AI</category><category>Data</category></item>
<item><title>Miami housing risk: what the data can actually show</title><link>https://erikabarker.ai/finance/is-miamis-economic-bubble-about-to-burst-housing-remote-work-and-key-market-risks-analyzed/</link><guid isPermaLink="true">https://erikabarker.ai/finance/is-miamis-economic-bubble-about-to-burst-housing-remote-work-and-key-market-risks-analyzed/</guid><description>How to evaluate Miami housing affordability, inventory and local economic conditions without inventing a crash probability.</description><pubDate>Wed, 25 Sep 2024 15:49:44 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Finance</category><category>Data</category></item>
<item><title>Comparing the US and China: measure before forecasting</title><link>https://erikabarker.ai/finance/us-china-economic-dynamics/</link><guid isPermaLink="true">https://erikabarker.ai/finance/us-china-economic-dynamics/</guid><description>A framework for comparing economic output, financial markets and cross-border investment without treating them as interchangeable measures.</description><pubDate>Thu, 29 Aug 2024 17:02:02 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Finance</category><category>Mathematics</category></item>
<item><title>Composite market scores: useful summaries, fragile assumptions</title><link>https://erikabarker.ai/finance/composite-scoring-for-market-analysis/</link><guid isPermaLink="true">https://erikabarker.ai/finance/composite-scoring-for-market-analysis/</guid><description>How to normalize market indicators, expose weights and test a composite without confusing ETF prices, overlapping holdings or retrospective fit.</description><pubDate>Mon, 05 Aug 2024 19:52:01 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Finance</category><category>Data</category></item>
<item><title>Quantitative analyst vs. data scientist: compare the work</title><link>https://erikabarker.ai/finance/what-is-a-quantitative-analyst-how-are-they-different-from-a-data-scientist/</link><guid isPermaLink="true">https://erikabarker.ai/finance/what-is-a-quantitative-analyst-how-are-they-different-from-a-data-scientist/</guid><description>How quantitative finance and data science overlap, where their objectives differ, and what evidence makes a portfolio useful to a hiring team.</description><pubDate>Wed, 05 Jun 2024 18:36:17 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Finance</category><category>Mathematics</category></item>
<item><title>Editorial standards and how this site uses AI</title><link>https://erikabarker.ai/tech/how-this-site-uses-ai/</link><guid isPermaLink="true">https://erikabarker.ai/tech/how-this-site-uses-ai/</guid><description>How Erika Barker’s site distinguishes sources, analysis, experiments and AI assistance, and how substantive corrections are recorded.</description><pubDate>Mon, 27 May 2024 17:15:15 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Tech &amp; AI</category><category>Projects</category></item>
<item><title>My HMA Z-score indicator: distance is not probability</title><link>https://erikabarker.ai/data-analysis/my-zscore-indicator-with-hma/</link><guid isPermaLink="true">https://erikabarker.ai/data-analysis/my-zscore-indicator-with-hma/</guid><description>A project note on standardizing a Hull moving average, the limits of normal-distribution interpretations and what a trading validation would require.</description><pubDate>Sun, 26 May 2024 15:38:41 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Data</category><category>Finance</category><category>Projects</category></item>
<item><title>What running taught me about doing enough</title><link>https://erikabarker.ai/culture/how-running-helped-my-depression-and-adhd/</link><guid isPermaLink="true">https://erikabarker.ai/culture/how-running-helped-my-depression-and-adhd/</guid><description>Running helped me manage anxiety, ADHD and the isolation of the pandemic. Then I learned when a useful routine could become another way to avoid my life.</description><pubDate>Sat, 25 May 2024 15:39:31 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Culture</category></item>
<item><title>Conformal abstention: when a language model should decline</title><link>https://erikabarker.ai/tech/deepminds-new-approach-to-avoiding-hallucinations-in-large-language-models/</link><guid isPermaLink="true">https://erikabarker.ai/tech/deepminds-new-approach-to-avoiding-hallucinations-in-large-language-models/</guid><description>What the 2024 conformal-abstention paper proposes, how calibration enters the method, and why statistical error control is not a guarantee of truth.</description><pubDate>Thu, 23 May 2024 18:16:54 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Tech &amp; AI</category></item>
<item><title>Kernel methods in machine learning and finance</title><link>https://erikabarker.ai/data-analysis/how-kernel-methods-work-in-ml-and-finance/</link><guid isPermaLink="true">https://erikabarker.ai/data-analysis/how-kernel-methods-work-in-ml-and-finance/</guid><description>How kernels represent similarity, what an RBF kernel does, and how to evaluate a nonlinear model without confusing a flexible fit with predictive evidence.</description><pubDate>Thu, 23 May 2024 16:19:18 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Data</category><category>Finance</category><category>Mathematics</category><category>Tech &amp; AI</category></item>
<item><title>Why I like the Hull moving average</title><link>https://erikabarker.ai/data-analysis/why-i-love-the-hull-moving-average-hma/</link><guid isPermaLink="true">https://erikabarker.ai/data-analysis/why-i-love-the-hull-moving-average-hma/</guid><description>How Alan Hull’s moving average combines weighted averages, where the square-root window enters, and why a responsive line is not a trading edge.</description><pubDate>Thu, 23 May 2024 14:59:40 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Data</category><category>Finance</category><category>Mathematics</category></item>
<item><title>What the Riemann hypothesis actually says</title><link>https://erikabarker.ai/tech/what-is-the-riemann-hypothesis/</link><guid isPermaLink="true">https://erikabarker.ai/tech/what-is-the-riemann-hypothesis/</guid><description>An introduction to the zeta function, prime numbers and the limits of what a proof of the Riemann hypothesis would establish.</description><pubDate>Thu, 23 May 2024 03:29:44 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Tech &amp; AI</category><category>Mathematics</category></item>
<item><title>Markov chains, explained with a two-state example</title><link>https://erikabarker.ai/data-analysis/2524/</link><guid isPermaLink="true">https://erikabarker.ai/data-analysis/2524/</guid><description>A complete transition-matrix example, a stationary distribution and the assumptions that limit Markov models in economic and financial research.</description><pubDate>Wed, 15 May 2024 01:46:16 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Data</category><category>Finance</category><category>Mathematics</category><category>Tech &amp; AI</category></item>
<item><title>Game theory and markets: what Nash equilibrium explains</title><link>https://erikabarker.ai/mathematics/how-did-game-theory-power-jim-simons-medallion-fund/</link><guid isPermaLink="true">https://erikabarker.ai/mathematics/how-did-game-theory-power-jim-simons-medallion-fund/</guid><description>A practical introduction to strategic incentives and Nash equilibrium, with a clear boundary between public mathematics and conjecture about private trading strategies.</description><pubDate>Sat, 11 May 2024 19:29:27 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Mathematics</category><category>Data</category><category>Finance</category></item>
<item><title>Understanding the economy without misleading plumbing</title><link>https://erikabarker.ai/finance/understanding-the-economy-money-flow-federal-reserve-and-financial-strategies/</link><guid isPermaLink="true">https://erikabarker.ai/finance/understanding-the-economy-money-flow-federal-reserve-and-financial-strategies/</guid><description>A guide to GDP accounting, money, credit and inflation that separates useful metaphors from causal claims.</description><pubDate>Fri, 03 May 2024 19:15:55 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Finance</category></item>
<item><title>Making AI-assisted data work easier to verify</title><link>https://erikabarker.ai/tech/chat-gpt-efficiency/</link><guid isPermaLink="true">https://erikabarker.ai/tech/chat-gpt-efficiency/</guid><description>A practical workflow for dividing research tasks, checking generated code and distinguishing a model’s answer from evidence.</description><pubDate>Thu, 11 Apr 2024 23:41:15 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Tech &amp; AI</category></item>
<item><title>The law of large numbers—and the stories it cannot prove</title><link>https://erikabarker.ai/mathematics/understanding-law-of-large-numbers-applications/</link><guid isPermaLink="true">https://erikabarker.ai/mathematics/understanding-law-of-large-numbers-applications/</guid><description>Why sample averages can stabilize, why repeated trials do not erase selection bias, and how a perfect prediction record can be manufactured.</description><pubDate>Thu, 07 Mar 2024 18:09:00 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Mathematics</category><category>Data</category></item>
<item><title>How binary represents numbers, text and instructions</title><link>https://erikabarker.ai/videos/how-binary-code-makes-computers-work/</link><guid isPermaLink="true">https://erikabarker.ai/videos/how-binary-code-makes-computers-work/</guid><description>Bits do not come with built-in meaning. A short guide to binary numbers, character encodings and the role of conventions in computing.</description><pubDate>Thu, 07 Mar 2024 04:24:18 GMT</pubDate><dc:creator>Erika Barker</dc:creator><category>Videos</category></item>
</channel></rss>