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I am proud to have been a contributer to this publication "Guidance on the Future of Computer Science Education in an Age of AI" Takeaways It is important to teach: * computational thinking and coding in the age of AI * critical thinking responsible creators using digital tools * privacy and security, how is my data stored and used * transparency and accountability of AI

🎉Happy to contribute to the Machine Learning Systems with TinyML #MLSys Book by Vijay Janapa Reddi, Marcelo Rovai, and many more contributors from Harvard John A. Paulson School of Engineering and Applied Sciences, Massachusetts Institute of Technology, University of Chicago, #tinyML4D, Abdus Salam International Centre for Theoretical Physics (ICTP), and tinyML Foundation. 💚Stay tuned for the best #ML, #TinyML book available for Engineering: https://mlsysbook.ai

Just wanted to provide an update on my last year of graduate school here at Tickle College of Engineering at the University of Tennessee. Last semester, I alongside Neh Patel, Christopher Lee, Kyung Min Han completed my final project for the COSC522 Machine Learning, and I wanted to share some highlights. Project Overview: For the final project, we delved into the fascinating world of binary classification models to perform supervised learning, focusing on predicting smoker status using various bio signals. The journey involved exploring diverse models to enhance accuracy and efficiency through the use of NVIDIA's Cuda RAPIDS CuML and CuDNN frameworks, allowing GPU acceleration for the training of numerous different ML models. This project utilized Python to perform numerous training algorithms such as logistic regression, boosting (through XGBoost), backpropogation (through neural networks), and more. Attached to this post is the comprehensive final report and presentation. Dive into the details of the project, methodologies employed, and the outcomes achieved. Special thanks to professor Hairong Qi and classmates for their support and collaborative spirit throughout this enriching journey. #MachineLearning #DataScience #FinalProject #BioSignals #GPUAcceleration #Python #COSC522 #MastersDegree #DataAnalysis #Innovation

💫 Computer Vision Community Course now LIVE! From the awesome Hugging Face🤗 folks + many amazing people from the computer vision community, comes the greatest computer vision course in the entire galaxy 🌌 Started simply as a musing from Johannes Kolbe: "If the community needs a computer vision course, then let the community create a computer vision course!". The echo of this statement, followed by an announcement by Merve Noyan calling the CV people from all over the Milky Way, was the seed of something truly wonderful! Something that I'm really proud to be part of. 🤝A computer vision course made by the community, for the community.🤝 📚 Here is a glimpse of what is covered in the course: - Fundamentals of computer vision (yes, you have no excuse now 😄) - Convolutional Neural Network - Vision Transformers - Generative Models 🔥 - Video and Video Processing - 3D Vision, Scene Rendering and Reconstruction - Zero-shot Computer Vision - Ethics and Biases and many more... 🦾 Start learning computer vision now and join the future: https://lnkd.in/dG9SSChk Special thanks to Adam Molnar, Johannes Kolbe, Merve Noyan, and all the wonderful people who made this real. This course banner was designed by the fantastic Isabella Bicalho Frazeto

I’m thrilled to announce that I have completed the AI/ML Engineer - Stage 1 program with The Centre for Open and Distance Education, Faculty of Computing SLIIT. This journey has been one of the most enriching experiences, deepening my knowledge and skills in the field of artificial intelligence and machine learning. 😊 #AIML #MachineLearning #ArtificialIntelligence #CertificateOfCompletion #SLIIT

🌐 Explore a world of knowledge on Prof. Mostafa A. Elhosseini's YouTube channel, a treasure trove for Computer Science and Engineering enthusiasts! 🚀🤖 🔍 Dive into specialized playlists: Machine Learning (ML): Unravel the complexities of algorithms and systems. 🤖📊 Deep Learning: Delve into the depths of neural networks and AI applications. 🧠💻 Logic: Understand the core principles that drive computing and AI. 🧩📐 Architecture: Explore the structural design of computing systems. 🏗️🖥️ Statistics: Master the art of data interpretation and analysis. 📈🔢 Programming: Hone your coding skills across various languages. 💻👨💻 Data Analysis: Learn to extract insights from complex data sets. 📊🔍 Optimization: Discover techniques for enhancing efficiency in algorithms and systems. ⚙️📈 📚 Each playlist is a gateway to expertise and innovation. Subscribe, like, and join the community of future tech pioneers! #ProfElhosseiniSmartSysEng 🌟🎓 https://lnkd.in/dp9PcjdB Elevate your learning journey today! 📈👩🏫👨🏫

🔍 How is AI transforming the way we learn mathematics? In our latest episode of Edtech Insiders, we sit down with Dr. Jeremy Roschelle, Executive Director of Learning Science Research at Digital Promise, to explore the groundbreaking ways AI is reshaping math education. In this episode, Dr. Roschelle shares: ✈️ His journey into learning science and AI 📚 Key findings from his research on technology and AI in math education 🤖 Predictions for how AI will redefine mathematical knowledge 🌎 The evolution of classroom teaching in an AI-driven world ➗ Promising AI applications in math teaching 🕵️♂️ Addressing risks like privacy concerns, data security, and biases in AI Listen to the episode here and as always, let us know what you think: https://lnkd.in/gQyH5ucy #Edtech #AIinEducation #MathEducation

AI/ML Engineer – Stage 2 provides in-depth knowledge about supervised learning algorithms, also known as supervised machine learning, which is a subcategory of machine learning and artificial intelligence. It is defined by its use of labelled datasets to train algorithms to classify data or predict outcomes accurately. ☺️ The course is designed with the delivery of adequate theoretical and practical knowledge required to develop your own solutions for real you for SLITT university.😊

🌟 Exciting Milestone Achieved! 🌟 I am thrilled to share that I have completed my eleventh task on OpenCV! 🎉 Under the esteemed guidance of Sai Satish Sir at Indian Servers and with the support of the AIMER Society, I explored the powerful capabilities of OpenCV. About OpenCV: OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It provides a comprehensive set of tools for real-time image processing, computer vision tasks, and machine learning applications, enabling developers to build advanced image and video analysis solutions. Project Name: OpenCV Exploration Tools Used: OpenCV Google Colab This experience has been incredibly rewarding, allowing me to delve into the world of computer vision and its applications. I am grateful for the mentorship and the opportunity to learn and grow in such an innovative environment. I am looking forward to more learning and exciting projects ahead! #AIMERS #AIMERSOCIETY #APSCHE #OpenCV #ComputerVision #ImageProcessing #ArtificialIntelligence #MachineLearning #DataScience #AI #Innovation #LearningJourney

Excited to share that I’ve earned my Computer Vision certificate from Coursera! 🌟 The course delved into topics like neural networks, image recognition, and feature extraction. Looking forward to applying this knowledge in my future projects! #ComputerVision #CourseraCertified #NerualNetworks #Deeplearning #opencv #imageprocessing #pytorch