Michael Pyrcz🌻

Many of my graduate students have papers in peer review. I share this with them to help them respond to the reviewers. I remember the challenge & pressure of writing my first papers. I sincerely hope that this helps. #AcademicChatter #academicWriting #mentorship #proflife

Quantifying spatial continuity, i.e., the amount of variance (or change) observed over distance is very powerful. Whether in agriculture, forestry, groundwater, or the exploration of minerals, oil, and gas, understanding spatial continuity leads to better resource management. To…

Everywhere I go, I hear the same feedback about my YouTube #DataScience lectures: ✅ They make complex topics easy to understand ✅ They demystify the field of data science ✅ They use a variety of tools and techniques to connect with different learning styles See for yourself:…

🚨 New Chapter Alert! I’ve just added a brand-new chapter to my free, online e-book: "Applied Machine Learning in Python" 🎉 📘 New Topic: Deep Learning with Autoencoders! This chapter is a hands-on walkthrough of building and training an autoencoder from scratch — a…

I spent last week lecturing across South Korea, traveling between cities on their incredible bullet trains—reaching speeds up to 300 km/h and so smooth it felt like gliding. I spent hours staring out the window, captivated by the fast-changing scenery of mountains, fields, and…

What an incredible week in South Korea with Professor Honggeun Jo (@HonggeunJ at @inhauniv)! It was a whirlwind tour filled with my lectures across academia, government, and industry — from Inha University to the national lab (@KIGAM_sns) and the Korea National Oil Corporation…

Professor @johntfoster and Professor Michael Pyrcz (@GeostatsGuy) just completed their 2nd summer 5-half day high school hackathon with @CockrellSchool MITE program supported by @UT_PGE! 15 student teams took on an engineering energy #DataScience challenge! Appreciation to…

Every day, I receive many requests for assistance from people I haven’t met. May I share a few tips to help improve your chances of receiving a positive response? I hope you find these helpful!

I'm thrilled to be heading to South Korea next week for the final stop of my @IAMG_Math_Geo Distinguished Lecture Tour! I'm especially honored to be hosted by my first PhD student, Professor @HonggeunJ, now a faculty member at @inhauniv. Dr. Honggeun Jo was an exceptional…

🚀 Big update! Yesterday I expanded and improved the "Code Snippets" chapter in my free online e-book, "Applied Machine Learning in Python" 📘. The updated chapter now features: 🧠 Cleaner examples 💻 Sharper code ⚡️ Faster workflows 🧩 Practical ML techniques 🤖 Ready-to-run…

Howdy folks! I’m Michael Pyrcz, a proud Ukrainian-Canadian professor thrilled to be here in Texas teaching data science to students across our campus. To me, being a professor is first and foremost a role of service. That’s why I’m dedicated to sharing my educational content…

This week, I had the pleasure of co-hosting a @CockrellSchool – @UT_PGE high school hackathon. One thing that stood out was how many students struggled to find the right code snippets to complete specific steps in their #DataScience and #MachineLearning workflows. To help…

🚨 I recently added a brand new chapter to my free, online e-book, Applied Machine Learning in Python 📷'#DeepLearning with Autoencoders'! This chapter includes: 1️⃣ A walkthrough of model training with all math 2️⃣ A simple autoencoder built from the ground up using NumPy…

Excited to be co-hosting the @CockrellSchool High School Hackathon this week alongside Professor @johntfoster, with incredible support from our @UT_PGE department! We’ve welcomed 56 high school students from across Texas and beyond to tackle a tough, real-world subsurface energy…

Thinking about learning to code, but not quite sure? Or maybe you know a friend or family member who’s on the fence? To help out, I’ve put together my top reasons why every engineer and scientist should learn at least some coding!

🚨 New Chapter Alert! 🚨 I just added a brand new chapter to my free, online e-book, Applied Machine Learning in Python — now featuring Autoencoders in #DeepLearning! This chapter includes: 1️⃣ A walkthrough of model training with all math 2️⃣ A simple autoencoder built from the…

20 miles at a good pace on my road bike at the Veloway Track in Austin, Texas. Super cool community at a wonderful place!

🧠 This morning I’m building an autoencoder by hand with only NumPy — no PyTorch, no TensorFlow. Why? Because I believe coding it from scratch is the best way to truly understand what’s happening under the hood. 👇 Here’s what I’m doing, the full workflow: 1️⃣ Initialize weights…