Samira GOUFFI’s Post

Excited to share that I've completed an Applied Machine Learning course at the NCL, NED University! This experience has been a journey of exploring data, diving into algorithms, and honing real-world problem-solving skills. Looking forward to applying these insights in impactful projects and collaborations! 🌟 #MachineLearning #DataScience #ArtificialIntelligence #NEDUniversity #TechInnovation #DataDriven

Proud to share my latest achievement: completing the 'Supervised Machine Learning: Regression and Classification' course from Stanford University. This has been a fantastic learning experience! Ready to take on new challenges with these enhanced skills! 💡 #StanfordUniversity #MLCertificate #ProfessionalDevelopment

🌟 I would like to share that I have earned a new certification in “Mathematics for Machine Learning: Linear Algebra” from Imperial College London via Coursera! This course provided a comprehensive understanding of vectors, matrices, eigenvalues, and eigenvectors, along with practical applications in data-driven projects. #MachineLearning #LinearAlgebra #ContinuousLearning #ImperialCollegeLondon #Coursera

🚀 Exciting Update! Just completed the Machine Learning 101 course with Guvi! 🌟 I am thrilled to announce that I have successfully completed the Machine Learning 101 course with Guvi, and it has been an enlightening journey of exploration and learning. 💻🤖 Throughout the course, I gained a solid foundation in machine learning principles, algorithms, and techniques, paving the way for further growth and specialization in this dynamic field. I want to extend my sincere gratitude to the incredible team at Guvi for their exceptional course content and unwavering support. Their commitment to providing quality education and fostering practical skills has been instrumental in my professional development. Completing this course marks a significant milestone in my journey toward becoming a proficient data scientist. Armed with foundational knowledge in machine learning, I am excited to apply these skills to solve real-world problems and drive innovation in various domains. I am deeply grateful for the collaborative learning environment fostered by my peers and mentors throughout this experience. Your insights and encouragement have been invaluable, and I look forward to continuing to learn and grow together. As I reflect on this achievement, I am filled with a sense of pride and optimism for the future. I am eager to leverage my newfound skills and contribute meaningfully to the exciting and ever-evolving field of machine learning. Here's to continuous learning, growth, and making a positive impact with Machine Learning! 🌟🤖 #Guvi #MachineLearning #DataScience #ArtificialIntelligence #ProfessionalDevelopment

"I'm happy to announce that I have successfully completed the 21 Days Masterclass on Machine Learning by Pantechelearning. This training program have deepened my understanding of the intricacies of machine learning. Grateful for the opportunity to expand my skills in this rapidly evolving field. Looking forward to leveraging this knowledge in future endeavors! #MachineLearning #Pantechelearning #ProfessionalDevelopment"

LLMs promise to perform language-based tasks at an efficiency and scale previously limited to human capability. But are they truly the job-replacing titans some predict them to be? Read on: https://lnkd.in/gbVuX8Rw #largelanguagemodels #LLM #machinelearning #artificialintelligence #neuralnetworks #deeplearning #datascience #digitaltransformation #technology #praxistechschool

Completed the Supervised Machine Learning: Regression and Classification course by Andrew Ng, offered by Stanford University on Coursera! 📊💡 Gained hands-on experience with regression, classification, and key machine learning concepts. Looking forward to applying these skills to real-world projects! #MachineLearning #StanfordUniversity #Coursera #LifelongLearning

📚 Excited to share I've embarked on my journey into Machine Learning! 🚀 Delighted to have completed initial modules, diving into the fundamentals and implementing key concepts from #campusx. Can't wait to see where this learning path takes me! #MachineLearning #DataScience #ContinuousLearning

We are thrilled to announce that Cátia Teixeira has successfully defended her Master's Thesis in the MDSE - Master in Data Science and Engineering program on July 22nd, 2024. The thesis is titled "Hubris Benchmarking with AmbiGANs". Cátia's research addresses the critical challenge of evaluating the robustness of machine learning models. By creating benchmark datasets for computer vision tasks that contain challenging or ambiguous samples, her work aims to enhance the reliability and accountability of AI systems. The thesis introduces the concept of Hubris, a metric for measuring a model's overconfidence, and AmbiGAN, a framework based on Generative Adversarial Networks (GANs) to generate realistic yet ambiguous data. The methodology involves diverse classifiers as Ambiguity Estimators to improve model generalization, and the findings indicate that using diverse classifiers leads to more stable and reliable GAN training. Supervised by Carlos Soares, with co-supervisors Inês Gomes and Jan van Rijn, Cátia's work sets a strong foundation for future advancements in responsible AI and robust machine learning model evaluation. As the director of the MDSE - Master in Data Science and Engineering program, I extend my heartfelt congratulations to Cátia for her outstanding work and dedication to advancing the field of AI. Best wishes for your future endeavors. José Luís Moura Borges #UP #feup #mdse #datascience #dataengineering #masterdegree

For those seeking a solid statistical foundation for machine learning, the focus on sampling, Markov chain Monte Carlo, and manifold learning particularly stands out. #statistics #Markov #course