A team of students, equipped with GitHub Copilot from the GitHub Student Developer Pack, tackled an incredible challenge—decoding ancient scrolls using AI. These crafty students applied machine learning to unlock mysteries hidden for centuries. It’s a powerful example of how GitHub tools are empowering the next generation of developers to solve real-world problems. Want to learn how they did it? Read the full story: https://gh.io/vesublog
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I’m thrilled to share that I’ve completed and obtained a new certification: Supervised Machine Learning: Regression and Classification from DeepLearning.AI! 🎉 This course, taught by the amazing Andrew Ng, deepened my understanding of essential machine learning concepts such as regression, classification, model evaluation, and much more. It has been a rewarding learning journey, filled with hands-on projects and real-world applications that are sure to boost my AI skills. 🚀 To further contribute to the community, I’ve created a GitHub repository where I’ve compiled all the interactive notebooks I worked on during the course. These notebooks contain detailed implementations and code snippets that may be useful for anyone exploring machine learning concepts. 👉 Here’s the link to my repository: https://lnkd.in/eqKrmuxK Feel free to take a look, use them, and drop any feedback or suggestions! Let’s continue learning and growing together. ❤️ #MachineLearning #AI #DeepLearning #DataScience #AndrewNg #Coursera #GitHub
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🚀 Exciting News: Achieved Dog-Cat Image Recognition using CNN! 🐾🖥️ Hey LinkedIn fam! 👋 I am thrilled to share a major milestone in my coding journey. 🚀 After 50 intense epochs, I've successfully trained a Convolutional Neural Network (CNN) that can distinguish between images of dogs and cats with an outstanding accuracy of 94.90%! 📈🔥 👉 What's the Project About? I embarked on a mini project to create an image classifier using CNN. The goal was simple but challenging: Teach the model to identify whether an image contains a dog or a cat. The results? Absolutely mind-blowing! 📊 Performance Stats: Accuracy: 94.90% Epochs: 50 Framework: TensorFlow 2 Architecture: Convolutional Neural Network (CNN) 💻 GitHub Repository: Curious about the code? Dive into the project on my GitHub repository: GitHub Link: https://lnkd.in/dje_kg29 🌟 Key Takeaways: Hands-on Learning: This project was a fantastic hands-on experience in implementing CNN for image classification. Persistence Pays Off: It took dedication and fine-tuning, but achieving almost 95% accuracy was worth every late-night session! Open Source Spirit: I'm sharing the entire codebase on GitHub, encouraging collaboration and learning. Feel free to explore, contribute, or provide feedback! 🚀 Future Steps: This is just the beginning! I plan to expand and optimize this project further. Your insights and suggestions are more than welcome. Let's keep pushing the boundaries of what's possible in the world of AI and deep learning! 🌐💡 👨💻 #DeepLearning #MachineLearning #AI #CNN #ImageRecognition #TechInnovation #GitHub #CodingJourney #DataScience #convolutionalneuralnetworks #imageprocessing #imageclassification Can't wait to hear your thoughts and feedback on this exciting journey! Let's connect, learn, and grow together. 🚀🌟
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Sharing is caring. Get to know more about ML and AI engineering. These repos should be a good starting point :) #ai #ml #llm
5 Best Github Repos to help you become a better ML / AI engineer: 1. Applied ML. All About Machine Learning in Production by Eugene Yan (26k stars) - https://lnkd.in/gwrkyJtf 2. Awesome Scalability. Build scalable ML systems by Binh Nguyen (56k stars) - https://lnkd.in/ghshNVKh 3. Creme de la Creme of Free AI courses by Piotr Skalski (4.7k stars) - https://lnkd.in/gy4cPJZ6 4. 60 Implementations of Deep Learning papers by labml.ai (60k stars) - https://lnkd.in/gnNE8Ptm 5. Made with ML. Learn to design, develop, and deploy production-grade ML applications by Goku Mohandas (36k stars) - https://lnkd.in/gjCQqjiC If you find these helpful... 👍 React ♻️ Share 💬 Comment So more people can learn. --- Happy building and experimenting!
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Start your #AI journey now.
5 Best Github Repos to help you become a better ML / AI engineer: 1. Applied ML. All About Machine Learning in Production by Eugene Yan (26k stars) - https://lnkd.in/gwrkyJtf 2. Awesome Scalability. Build scalable ML systems by Binh Nguyen (56k stars) - https://lnkd.in/ghshNVKh 3. Creme de la Creme of Free AI courses by Piotr Skalski (4.7k stars) - https://lnkd.in/gy4cPJZ6 4. 60 Implementations of Deep Learning papers by labml.ai (60k stars) - https://lnkd.in/gnNE8Ptm 5. Made with ML. Learn to design, develop, and deploy production-grade ML applications by Goku Mohandas (36k stars) - https://lnkd.in/gjCQqjiC If you find these helpful... 👍 React ♻️ Share 💬 Comment So more people can learn. --- Happy building and experimenting!
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Finished. Partly ;) Today i successfully finished my first project on my learning path into AI. That was quite cool - to refresh my old coding skills, learning a new coding language and learning more from feedback in this project. One learning i want to share: Read the instructions in detail… had to do a review, because my output was not as expected. But, and that is great, the feedback was very professional, understandable and helpful! Big thanks to the reviewer!! Next step: working on my own very first image classifier. After a refresher on calculus and linear algebra as well as a deeper dive into neural networks. #udacity #AWS #AI #neverstoplearning
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A platform to learn and gain insights as per interest. Look into the GitHub Repositories to gain knowledge on Machine Learning and Artificial Intelligence.
5 Best Github Repos to help you become a better ML / AI engineer: 1. Applied ML. All About Machine Learning in Production by Eugene Yan (26k stars) - https://lnkd.in/gwrkyJtf 2. Awesome Scalability. Build scalable ML systems by Binh Nguyen (56k stars) - https://lnkd.in/ghshNVKh 3. Creme de la Creme of Free AI courses by Piotr Skalski (4.7k stars) - https://lnkd.in/gy4cPJZ6 4. 60 Implementations of Deep Learning papers by labml.ai (60k stars) - https://lnkd.in/gnNE8Ptm 5. Made with ML. Learn to design, develop, and deploy production-grade ML applications by Goku Mohandas (36k stars) - https://lnkd.in/gjCQqjiC If you find these helpful... 👍 React ♻️ Share 💬 Comment So more people can learn. --- Happy building and experimenting!
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Bookmarking this will definitely help you in the future!
5 Best Github Repos to help you become a better ML / AI engineer: 1. Applied ML. All About Machine Learning in Production by Eugene Yan (26k stars) - https://lnkd.in/gwrkyJtf 2. Awesome Scalability. Build scalable ML systems by Binh Nguyen (56k stars) - https://lnkd.in/ghshNVKh 3. Creme de la Creme of Free AI courses by Piotr Skalski (4.7k stars) - https://lnkd.in/gy4cPJZ6 4. 60 Implementations of Deep Learning papers by labml.ai (60k stars) - https://lnkd.in/gnNE8Ptm 5. Made with ML. Learn to design, develop, and deploy production-grade ML applications by Goku Mohandas (36k stars) - https://lnkd.in/gjCQqjiC If you find these helpful... 👍 React ♻️ Share 💬 Comment So more people can learn. --- Happy building and experimenting!
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A very helpful list for those who start out and progress in ML/AI from Meri Nova !
5 Best Github Repos to help you become a better ML / AI engineer: 1. Applied ML. All About Machine Learning in Production by Eugene Yan (26k stars) - https://lnkd.in/gwrkyJtf 2. Awesome Scalability. Build scalable ML systems by Binh Nguyen (56k stars) - https://lnkd.in/ghshNVKh 3. Creme de la Creme of Free AI courses by Piotr Skalski (4.7k stars) - https://lnkd.in/gy4cPJZ6 4. 60 Implementations of Deep Learning papers by labml.ai (60k stars) - https://lnkd.in/gnNE8Ptm 5. Made with ML. Learn to design, develop, and deploy production-grade ML applications by Goku Mohandas (36k stars) - https://lnkd.in/gjCQqjiC If you find these helpful... 👍 React ♻️ Share 💬 Comment So more people can learn. --- Happy building and experimenting!
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Excited to share my Deep Learning Repository on GitHub(https://lnkd.in/g6hDSCQU)! Is still a work in progress but feel free to explore projects, resources, and code examples covering topics like ANN, CNN, RNN, and more. Check it out and give it a star ⭐️ if you find it a helpful resource! #DeepLearning #MachineLearning #AI #GitHub #OpenSource #Code #Projects #NeuralNetworks
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All great resources but really like applied ml
5 Best Github Repos to help you become a better ML / AI engineer: 1. Applied ML. All About Machine Learning in Production by Eugene Yan (26k stars) - https://lnkd.in/gwrkyJtf 2. Awesome Scalability. Build scalable ML systems by Binh Nguyen (56k stars) - https://lnkd.in/ghshNVKh 3. Creme de la Creme of Free AI courses by Piotr Skalski (4.7k stars) - https://lnkd.in/gy4cPJZ6 4. 60 Implementations of Deep Learning papers by labml.ai (60k stars) - https://lnkd.in/gnNE8Ptm 5. Made with ML. Learn to design, develop, and deploy production-grade ML applications by Goku Mohandas (36k stars) - https://lnkd.in/gjCQqjiC If you find these helpful... 👍 React ♻️ Share 💬 Comment So more people can learn. --- Happy building and experimenting!
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