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Deep Dives
🤷 Quantifying Uncertainty — A Data Scientist’s Intro To Information Theory — Part 2/4: Entropy
🤷 Quantifying Uncertainty — A Data Scientist’s Intro To Information Theory — Part 2/4: Entropy
Gain intuition into Entropy and master its applications in Machine Learning and Data Analysis. Python code provided. 🐍
Eyal Kazin PhD
Feb 3
Injecting domain expertise into your AI system
Injecting domain expertise into your AI system
How to connect the dots between AI technology and real life
Dr. Janna Lipenkova
Feb 1
Latest
Inequality in Practice: E-commerce Portfolio Analysis
Inequality in Practice: E-commerce Portfolio Analysis
From Mathematical Theory to Actionable Insights: A 6-Year Shopify Case Study
Piotr Gruszecki
Jan 31
11 Methods and Hardware Tools for 3D Scanning and Data Capture
11 Methods and Hardware Tools for 3D Scanning and Data Capture
The toolbox for data curation and 3D scanning: LiDAR, mesh, city models, 3D assets, hardware recommendations, photogrammetry, and AI…
Florent Poux, Ph.D.
Jan 31
The Invisible Revolution: How Vectors Are (Re)defining Business Success
The Invisible Revolution: How Vectors Are (Re)defining Business Success
The hidden force behind AI is powering the next wave of business transformation
Felix Schmidt
Jan 29
Analyze Tornado Data with Python and GeoPandas
Analyze Tornado Data with Python and GeoPandas
Insights from NOAA’s public domain database
Lee Vaughan
Jan 28
Learn to Build Advanced AI Image Applications
Learn to Build Advanced AI Image Applications
By building an interior designer in ComfyUI
Ida Silfverskiöld
Jan 21
Why Generative-AI Apps’ Quality Often Sucks and What to Do About It
Why Generative-AI Apps’ Quality Often Sucks and What to Do About It
How to get from PoCs to tested high-quality applications in production
Dr. Marcel Müller
Jan 20
Where to Start when Data is Limited: A Guide
Where to Start when Data is Limited: A Guide
Overcome small data constraints & ambitious performance requirements—leveraging modern ML to surpass conventional methods.
Jake Minns
Jan 17
Mastering the Poisson Distribution: Intuition and Foundations
Mastering the Poisson Distribution: Intuition and Foundations
Take a dive into the math and exemplifying use cases of the Poisson distribution
Alejandro Alvarez Pérez
Jan 4
The AI (R)Evolution, Looking From 2024 Into the Immediate Future
The AI (R)Evolution, Looking From 2024 Into the Immediate Future
Witnessing rapid innovation, fierce competition, and transformative tools for life, work, and human development
LucianoSphere (Luciano Abriata, PhD)
Jan 13
Going Beyond Bias-Variance Tradeoff Into Double Descent Phenomenon
Going Beyond Bias-Variance Tradeoff Into Double Descent Phenomenon
It’s not how many times you get knocked down that count, it’s how many times you get back up.
Farzad Nobar
Jan 13
A Visual Understanding of Neural Networks
A Visual Understanding of Neural Networks
The math behind neural networks visually explained
Reza Bagheri
Jan 11
Measuring Quantum Noise in IBM Quantum Computers
Measuring Quantum Noise in IBM Quantum Computers
A discussion around measuring error rates in IBM quantum processors, with code examples, using Qiskit
Benjamin Assel
Jan 8
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