EO College’s Post

🚀 New Course Alert: Machine Learning for Earth Observation The Introduction to Machine Learning for Earth Observation course is now live on EO College, and it’s FREE! Learn how machine learning is transforming satellite data analysis with hands-on exercises, tutorials, and popular tools like TensorFlow and Python. 💻 More information in the post below 👇 #MachineLearning #EarthObservation #EOCollege #FreeCourse #UpskillNow

We are hyped to bring this state-of-the-art topic in EO to all learners worldwide. Do you also want to develop an online course? Do you have questions on eLearning topics? Do you want to unleash the power of AI for your educational project? Talk to us!

I am happy to have been a part of this initiative, offering an online course on various emerging topics in #AI for Earth observation! #EarthObservation #AI

🚀 Exciting News for Earth Observation Enthusiasts! 🌍 The *Introduction to Machine Learning for Earth Observation* course is NOW LIVE on EO College, and it’s completely **FREE**! 🎉 This course offers a hands-on journey into how machine learning transforms satellite data analysis and environmental monitoring. 📚 **What You’ll Learn:** - Fundamentals of machine learning, with a focus on earth observation - Techniques for image classification, object detection, and change detection - How to apply popular ML tools like TensorFlow and Python for EO applications 💻 The course is packed with interactive content, tutorials, and practical exercises that take you from beginner to confident practitioner in no time. 🚀 Don’t miss this opportunity to upskill and join a thriving community of EO professionals. 📈 👉 **Enroll now**: https://lnkd.in/eyw-5NMq and start your learning journey today! Developed by: Technical University of Munich Helmholtz-Zentrum Dresden-Rossendorf (HZDR) University of Twente ignite education #MachineLearning #EarthObservation #EOData #FreeCourse #UpskillNow #MachineLearning #EarthObservation #EOData #FreeCourse #UpskillNow #SatelliteData #RemoteSensing #EnvironmentalMonitoring #DataScience #AIforGood #LearningOpportunity #GeospatialTechnology #ImageClassification #ObjectDetection #ChangeDetection #EOCollege #PythonForEO #TensorFlow #OpenEducation #SkillDevelopment #TechForPlanet #EarthData #SpatialAnalysis #Geoscience

𝙉𝙪𝙢𝙚𝙧𝙞𝙘𝙖𝙡 𝙈𝙖𝙨𝙩𝙚𝙧𝙮: 𝙀𝙭𝙥𝙡𝙤𝙧𝙞𝙣𝙜 𝙎𝙘𝙞𝙚𝙣𝙩𝙞𝙛𝙞𝙘 𝙁𝙧𝙤𝙣𝙩𝙞𝙚𝙧𝙨 𝙬𝙞𝙩𝙝 𝙋𝙮𝙩𝙝𝙤𝙣🧑💻🖥️ 📢𝐉𝐨𝐢𝐧 𝐨𝐮𝐫 𝐜𝐫𝐚𝐬𝐡 𝐜𝐨𝐮𝐫𝐬𝐞 𝐬𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 𝟏𝐬𝐭 𝐭𝐨 𝐦𝐚𝐬𝐭𝐞𝐫 𝐞𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 𝐧𝐮𝐦𝐞𝐫𝐢𝐜𝐚𝐥 𝐦𝐞𝐭𝐡𝐨𝐝𝐬 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧. 𝐂𝐨𝐯𝐞𝐫𝐢𝐧𝐠 𝐜𝐚𝐥𝐜𝐮𝐥𝐮𝐬, 𝐥𝐢𝐧𝐞𝐚𝐫 𝐚𝐥𝐠𝐞𝐛𝐫𝐚, 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚𝐥 𝐞𝐪𝐮𝐚𝐭𝐢𝐨𝐧𝐬, 𝐚𝐧𝐝 𝐦𝐨𝐫𝐞, 𝐲𝐨𝐮'𝐥𝐥 𝐠𝐚𝐢𝐧 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐍𝐮𝐦𝐏𝐲, 𝐌𝐚𝐭𝐩𝐥𝐨𝐭𝐥𝐢𝐛, 𝐀𝐬𝐭𝐫𝐨𝐩𝐲, 𝐚𝐧𝐝 𝐐𝐢𝐬𝐤𝐢𝐭. 📝Register Now: https://lnkd.in/gur5FzbN 𝗡𝗼𝘁𝗲: 𝗣𝗹𝗲𝗮𝘀𝗲 𝗿𝗲𝘃𝗶𝗲𝘄 𝗼𝘂𝗿 𝗰𝗼𝘂𝗿𝘀𝗲 𝗽𝗿𝗼𝘀𝗽𝗲𝗰𝘁𝘂𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝗿𝗲𝗴𝗶𝘀𝘁𝗲𝗿𝗶𝗻𝗴. #pythonprogram #computerprogram #physics #mathematics #cosmology #astronomy #astrophysics

Did you know that the Three-Body Problem is one of the most captivating problems in celestial mechanics? 🤔 In classical mechanics, solving the motion of two bodies interacting under gravity is straightforward (think Earth 🌍 and the Moon 🌕). But when we add a third body, chaos takes over. The system becomes non-deterministic, meaning small changes in initial conditions can lead to dramatically different outcomes over time—making it incredibly difficult to predict the exact motion of the three bodies. This chaotic behavior makes the Three-Body Problem a perfect challenge for numerical simulation. In my latest video, I explore this concept using #Python and showcase the unpredictable yet fascinating trajectories of three gravitationally bound objects. 📈 🚀 Want to see the simulation in action? Check out my latest #YouTube video! 🔗 [Link] https://lnkd.in/dXJNuz76 🔗 Source code [Link] https://lnkd.in/gVU3nCaW 🚀 Interested in learning Python for #science and #engineering applications? Enroll in my #Udemy course for a complete bootcamp on mastering the essentials! 🔗 https://lnkd.in/dcyerEZH 🚀 Curious about the code and my other projects? Visit my #GitHub! 🔗 https://lnkd.in/dmBFnuRR As chaotic as the system may seem, it's a reminder of how perfectly our universe was created—despite the underlying chaos, there’s a delicate balance that allows for the order and harmony we observe on a cosmic scale. ✨ #Python #Physics #Simulation #Chaos #ThreeBodyProblem #NumericalMethods #ComputationalScience

Machine Learning in Three Easy Lessons https://lnkd.in/eKhykQye Learn machine learning with neural networks in three to four hours, from scratch. Only prerequisite: basic knowledge of python and numpy. I prepared this little online book, complete with code examples, for a summer school for physicists at ICTP Trieste last week. We introduce jax, which is very simple and yet powerful and state of the art, and apply it to two examples from physics. I think it cannot get easier than this. 🙂 Enjoy! No installations required thanks to Google colab. Feedback welcome! #NeuralNetworks #MachineLearning #Jax #Tutorials Max Planck Institute for the Science of Light Abdus Salam International Centre for Theoretical Physics (ICTP)

An exciting period at #epflcampus has come to an end. I met many new people in the THEOS group and am still overhelmed by the warm welcome 🙏. It was a very intense collaboration sparking with creativity and new ideas 💡. I learned how to use AiiDA, a complex Python-based tool for managing research data 🐍💻. AiiDAs magic allows you to create automated workflows for executing complex calculation chains 🔗, organise your data and visualise its provenance 🌳, and filter and evaluate exactly the quantities of interest 📊. I am sure it will be extremely useful for screening the materials cloud database for novel photoexcited phase transitions. Many thanks to the group and especially its head Prof. Nicola Marzari, who made this stay possible! #research #science #physics #materials #python #datascience #dataanalytics

This summer, I was invited by Fakulta informačních technologií VUT v Brně , my alma mater, to lead an introductory machine learning workshop for a group of female high school students as part of a week-long summer school. Machine learning is a broad and complex topic, and for someone like me—who's been out of high school for a while—it was a bit challenging to find the right balance between presenting what I find interesting and making it accessible to a typical high school audience. Despite it being summer, I decided to dive a little into the mathematical side of things. We discussed mathematical functions and even touched on the often-feared term "derivative." From my own high school experience, I remember the rigidity of math classes, where the practical application of concepts was rarely explained. I wanted to bridge that gap, so I used interactive examples and Python Notebooks to make the material more engaging. We worked through several tutorials, starting with basic mathematical functions plotting, moving on to linear regression, and eventually training a small ML model using the PyTorch library. Toward the end, I also shared some of the exciting Machine Learning projects we’re working on at TESCAN 3DIM, s.r.o. , such as CBCT segmentation, orthodontic landmarks detection, automatic teeth alignment or electron microscopy data denoising. Based on the feedback I received, the workshop was well-received, and many students found it engaging and informative. I hope that among them, there's someone who feels inspired to explore this field further and maybe even follow a path similar to mine. After all, that would be the most rewarding outcome for me. (Photo courtesy of Brno University of Technology archive.) #VUTBrno #MLWorkshop #highschoolEducation #summerSchool #youngTalents #machineLearning

✨ ACES Techfest 15-Day Learning Challenge: Day 3 Recap ✨ Continuing the Association of Computer Engineering Students (ACES) ACESTECHFEST 15-Day Learning Challenge, today I dived into the fundamentals of Tensors with PyTorch! 🔥 Key Highlights: ~ Discovered what a Tensor is and its significance in computational frameworks. ~ Compared Python lists and NumPy arrays to better understand Tensor structures. ~ Created 2D and 3D Tensors using PyTorch and explored their dimensionality. ~ Converted NumPy arrays to Tensors for seamless integration with PyTorch workflows. ~ Mastered Reshape and View functions, understanding their differences and use cases. ~ Practiced slicing Tensors and extracting specific rows, columns, and individual elements. PyTorch is proving to be an essential tool for manipulating data and building machine learning models! Excited to keep pushing forward. 🚀 #ACESLearningChallenge #ACESTECHFEST #PyTorch #Tensors #ALC_3