The Skill That Will Define the Next Decade of Business: A Summary of Prompt Engineering for Generative AI
Based on the book by James Phoenix & Mike Taylor (O’Reilly Media, 2024) · ⏱ 10–11 minute read There is a moment in almost…
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How biological inspiration and mathematical efficiency created the backbone of modern computer vision. This week, I concluded my three-part journey into deep…
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From the AlexNet breakthrough to mastering PyTorch—how Deep Learning transitioned from academic theory to industry dominance. This week, I moved into Module…
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From biological inspiration to the mathematical “engine” of backpropagation. This week, I began the first of a three-part journey into the core…
(14) – Drawing the Ultimate Line: A Guide to Support Vector Machines
From high-dimensional hyperplanes to the “Kernel Trick”—how SVMs master complex data patterns. This week, I moved beyond Logistic Regression to explore Module…
(13) – Beyond the Straight Line: Mastering the Logistic “On-Off” Switch
Why standard regression fails at binary classification and how Logistic Regression models the probability of reality. This week, I dove into Module…
Your AI, Your Rules: Hosting YOUR Private AI Model in Switzerland
How to deploy a fully controlled, secure AI environment using Ollama and Ubuntu on the Infomaniak Public Cloud. Note about that post:…
(12) – Finding the Needle in the High-Dimensional Haystack: Bayesian Optimization
Mastering the art of exploration vs. exploitation to tune the perfect model. This week, I reached a milestone in my Machine Learning…
(11) – The Power of Being “Naïve”: How Bayes’ Theorem Conquered Spam
From impossible math to the ultimate text classification algorithm This week in my Machine Learning Professional Certificate, we shifted gears from Decision…
(10) – Into the Forest: How “Ensemble Methods” Supercharge Decision Trees
From Bagging to Boosting—discovering the wisdom of the crowd in Machine Learning. Last week in my Machine Learning Professional Certificate, we took…