Simple Logistic Regression exemplified for dummies👇🏻

I believe Arduino has done more bad than good to people who want to learn about embedded. It's ok for toy projects and for teaching kids about robotics, but you are not going to be using an Arduino at work. Buy an STM32 board instead github.com/cpq/bare-metal…

Mapping #minerals potential zones using #hyperspectral imagery in Google Earth Engine (GEE) involves leveraging the rich spectral information that hyperspectral sensors like #ASTER, #PRISMA, #AVIRIS, or #Hyperion provide. Tutorial Link: youtu.be/Jo-dM4Cc4j0?si… #remotesensing

A cool Github repo collecting LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

When I teach the Central Limit Theorem (CLT), I start by explaining the theory, then I engage students using my interactive #Python dashboard. Together, we select a parametric distribution, increase the number of random variables, and watch in real time as the distribution of the

I put together a new list of 37 of the fastest-growing startups (based on recent hiring rates) backed by top-tier funds. All have <50 employees and are hiring:

Processing nine months of land productivity metrics on my little macbook air. Dask is amazing. M3 processors are amazing. Apple's memory management is amazing. Cloud native data with local processing for the win!

Did you know we can access 𝙙𝙖𝙞𝙡𝙮 geospatial climate projections up until 1 Jan 2100? It covers projections for: • temperatures • precipitation • snowfall Plus it's completely free. Here's what you need to know about it:

How to do school with NotebookLM: 1. Record audio from class on your phone 2. Keep laptop closed. Just jot down short phrases to describe most important points 3. Upload audio and PDF scan of notes to NotebookLM 4. Ask Notebook to expand your notes with details from recording

Over the past decade the expected cost of a T gate has gone from 1000 CNOTs to 2 CNOTs. And the CNOTs also got smaller. We got used to T gates being dominant. We estimated costs just by counting Ts. That time's over. The dominant costs are probably storage and routing now.

Pretty amazing that anyone can now run AI-based weather models - from Huawei, NVIDIA, Google, Microsoft or Fudan - on their own computer, using open weather data from ECMWF. If you know python and know to work with weather data, go generate your own weather forecast!!

Excited to dive into #MachineLearning for #EarthObservation? 🌱🌐 Check out this free MOOC: "Introduction to Machine Learning for Earth Observation" being part of #ML4Earth: eo-college.org/courses/introd… link to project: ml4earth.de

Forecasting with Exponential Smoothing by Rob J. Hyndman, Anne B. Koehler, J. Keith Ord, and Ralph D. Snyder

Google is changing the weather forecasting game. Plus they've created a Python library to make their model available. Here's what you need to know about it:

We all know how much matrix algebra is necessary for probability, statistics, machine learning and data science. So here is a book: Introduction to Linear and Matrix Algebra by Nathaniel Johnston.

I’ve learned more in 1 month with ChatGPT-4o than years of courses. Here are 8 prompts that can save you thousands of dollars:

A book that every materials chemist should read from beginning to end, and I will never get tired of saying that.

Three years ago I taught a semester-long course centered on The Pleasures of Probability, and I still recommend it to every student curious about the art of chance. The book’s easy style makes puzzles like the Monty Hall problem fun and clear. It has simple examples-like the

FTQC isn’t just theoretical. In this session, we’ll show how Pasqal’s approach brings us closer to real-world applications of fault-tolerant quantum computing—sooner than you think. 📍 July 10 – 5pm CET Join us this thursday ! ow.ly/rEjJ50Wce57