Post de Institut intelligence et données (IID) de l'Université Laval

"Delighted to share that I've successfully finished the Algorithms on Strings course on Coursera! 🎉📝 Mastered advanced techniques in string processing algorithms. Looking forward to applying these skills in real-world scenarios! 💼🚀 #Coursera #StringAlgorithms #LearningJourney"

Day 9 of #100DaysOfCode 📍Reversing Array ✅ 📍Array leetcode easy problems ✅ 📍 Time and space complexity ✅ 📍Binary search ✅ Building a strong foundation in computer science is key, which is why I'm thrilled to announce that starting tomorrow, I'll be diving into CS50 classes. 🤓📚 Let's keep pushing ourselves to learn and grow! 💪👨💻 #codingjourney #CS50 #computerscience #datastructuresandalgorithms #learninginpublic

I just learned how to apply different #MachineLearning algorithms to solve different problems in a #Coursera course by @SaeedAghabozorg https://lnkd.in/dq_x2CqY

🌪️ Did you ever think about the challenges of predicting Hurricanes or making model-based inferences with uncertain data? 🤔 The main challenge lies in combining advanced numerical simulation with Uncertainty Quantification (UQ) methods and high-performance computing systems, such as supercomputing and cloud computing. 🖥️ 📽️ Watch this 👉 https://lnkd.in/g4jPQFA4 In our PyMCon event, we have Anne Reinarz and Linus Seelinger to simplify this process for you. Check out Linus's intro video, where he discusses why we need UQ, the problems it poses, and how they built 𝐔𝐌-𝐁𝐫𝐢𝐝𝐠𝐞 to solve it! 🚀 In this video, you will learn how UM-Bridge enables straightforward uncertainty quantification (UQ) on advanced models by removing technical barriers.🌐 But wait, there's more! Stay tuned for Anne Reinarz's hands-on tutorial, where you'll learn to use UM-Bridge to build cool UQ applications. From simple starts to tackling big simulations. 💻🚀 And don't forget to RSVP for their upcoming Q&A session to explore more about Uncertainty Quantification (UQ) and UM-Bridge. Check out the links in the comment section for more details. 🗓️🔗 #PyMCon #UncertaintyQuantification  #UMBridge #Simulation #DataScience #Python

I'm thrilled to share that I've recently completed a course on Coursera focused on one of the most intriguing topics in data science - Anomaly Detection! 📊✨ 📚 Course Overview: Throughout this comprehensive course, I delved into the fascinating world of anomaly detection, a crucial aspect of data analysis with applications in various domains The course provided a deep dive into the concepts, techniques, and practical applications of anomaly detection. 🧰 Toolkit: PyCaret One of the highlights of this course was the extensive use of PyCaret, a powerful Python library for machine learning automation. PyCaret simplified the entire process, from data preprocessing to model selection, allowing me to focus more on the critical aspects of anomaly detection. #TopicModel #MachineLearning #PyCaret

Today , at CSE Pathshala MOOC course(Python with AI/ML) with my instructor Shambhavi Gupta Madam , I learned about memberships , list and tuples and it's functions.

🚀✨ Just completed an amazing course in Quantum Computing and Qiskit! 🌌🔬 It was an incredible journey upgrading my Python skills and diving deep into the world of quantum! 🐍💻 Finished on 03/03/2024, and even though it was a 6-month course, I learned so much in such a short time! 💡🔮 From understanding the basics to exploring advanced concepts, every moment was enriching and rewarding. 💪🎓 Can't wait to apply what I've learned and delve even deeper into this fascinating field! 🌟🚀 #QuantumComputing #Qiskit #PythonSkills #NeverStopLearning 🚀✨

I just learned how to apply different #MachineLearning algorithms to solve different problems in a #Coursera course by @SaeedAghabozorg https://lnkd.in/eGtm5n52

Fourth Course Completed 👍🏾