Dr Miquel Noguer i Alonso’s Post

I'm happy to share that I've completed all 8 specialization courses of the Machine Learning and Deep Learning Specialization on Coursera. Hats off to Andrew Ng and the Team of DeepLearning.AI for creating these courses, perfect for me to kickstart into the World of AI. The Machine Learning Specializations included: ⚫Supervised Learning and Unsupervised Learning Algorithms such as Linear Regression, Logistic Regression, Binary Classification and K-Means Clustering ⚫Advanced Learning Algorithms like Decision Trees and Ensemble Methods, and Introduction to Neural Networks ⚫Reinforcement Learning and Recommender Systems The Deep Learning Specializations included: ⚫Analyzing Neural Networks and Standard Technique's for implementation and optimization ⚫Convolutional Neural Networks, it's Standard Model's, and Computer Vision Algorithms for Object Detection ⚫Natural Language Processing Basics, Recurrent Neural Networks, and Understanding up to Transformer Models 🔶Common theme in both of them, was invaluable advice in Structuring ML and DL Projects. What I loved particularly about these courses was the highly intuitionistic nature of the teaching of every concept and the coverage of all basics. I would also like to thank my friend Kushal Trivedi for helping me reach out to this course. I hope to explore more on what I have learnt and apply them to build projects in the future. See y'all around:)

This AI Paper from MIT Explores the Scaling of Deep Learning Models for Chemistry Research: ... (GPT) for chemistry (ChemGPT) and graph neural network force fields (GNNs) ... For chemical language modeling, the researchers design ChemGPT, a GPT-3 ...

🧠👨🏻💻 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐒𝐜𝐫𝐚𝐭𝐜𝐡: 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 𝐟𝐫𝐨𝐦 𝐅𝐢𝐫𝐬𝐭 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞𝐬 Deep learning has become crucial for machine learning practitioners and even many software engineers with the comeback of neural networks in the 2010s. For those with experience in machine learning and data science, this book offers a thorough introduction. Beginning with the fundamentals of deep learning, you'll swiftly go on to the specifics of significant advanced architectures, building every step of the process from the ground up. Author Seth Weizmann uses a first principles method to demonstrate how neural networks function. Convolutional neural networks, recurrent neural networks, and multiplayer neural networks will all be covered in detail. You'll be well-positioned to succeed on all upcoming deep learning initiatives if you have a solid understanding of the mathematical, computational, and conceptual aspects of neural network operation. 𝐓𝐡𝐢𝐬 𝐛𝐨𝐨𝐤 𝐩𝐫𝐨𝐯𝐢𝐝𝐞𝐬: 1- Extremely clear and thorough mental models—accompanied by working code examples and mathematical explanations—for understanding neural networks 2- Methods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented framework 3- Working implementations and clear-cut explanations of convolutional and recurrent neural networks 4- Implementation of these neural network concepts using the popular PyTorch framework 𝐆𝐞𝐭 𝐭𝐡𝐞 𝐏𝐃𝐅 :  https://lnkd.in/ePJF5FR4

I'm thrilled to share that I've successfully completed the DeepLearning.AI TensorFlow Developer Professional Certificate program! 🎉 This certification, led by Laurence Moroney, Lead AI Advocate at Google, included four comprehensive courses: 📌 Introduction to TensorFlow for Artificial Intelligence, Machine Learning and Deep Learning 📌Convolutional Neural Networks in TensorFlow 📌Natural Language Processing in TensorFlow 📌Sequences, Time Series and Prediction Through this journey, I gained hands-on experience building and training neural networks using TensorFlow, optimizing network performance with convolutional techniques, and teaching machines to understand and respond to human speech through natural language processing. I'm excited to apply these skills in advancing the AI-powered future! #DeepLearningAI #TensorFlow #AI #MachineLearning #DeepLearning #ProfessionalCertificate Check out my certification here: https://lnkd.in/de5Csz2R

🎉 Excited to share that I've completed the DeepLearning.AI TensorFlow Developer specialization in Coursera! 🚀 This comprehensive program, developed by industry experts, has equipped me with advanced skills in TensorFlow and deep learning, empowering me to build and deploy neural network models effectively. Throughout the specialization, I delved into various topics including convolutional and recurrent neural networks, natural language processing, sequence models, and more. The hands-on projects provided invaluable experience in real-world applications, solidifying my understanding of deep learning concepts and techniques. #deeplearningai #coursera #tensorflow #professionalcertificate #convolutionalneuralnetworks #naturallanguageprocessing #machinelearning

Finally finished 'Deep Learning Specialization' and 'TensorFlow Developer Professional Certificate' offered by DeepLearning.AI through Coursera. ❤ The journey so far was very humbling. Learned and understood so much. The more I learn the more I came to realize that AI is just a mathematical model applied to a dataset. 'Huge Thank You' to Andrew Ng and Laurence Moroney for being the instructors also the Coursera and DeepLearning.AI teams. . . . I can recommend these to anyone who is trying to get into AI/ ML. Deep Learning Specialization - 5 course series - Neural Networks and Deep Learning - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization - Structuring Machine Learning Projects - Convolutional Neural Networks - Sequence Models TensorFlow Developer Professional Certificate -  4 course series - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning - Convolutional Neural Networks in TensorFlow - Natural Language Processing in TensorFlow - Sequences, Time Series and Prediction

🚀 I’m happy to share that I’ve obtained a new certification: DeepLearning.AI TensorFlow Developer Specialization from DeepLearning.AI! I’m excited to share that I’ve earned the TensorFlow Developer Professional Certificate from DeepLearning.AI. This course provided invaluable insights and skills in machine learning and AI using TensorFlow. Course Highlights: - Introduction to TensorFlow: Built a neural network from scratch, focused on data preprocessing. - Convolutional Neural Networks: Image processing, real-world data handling, and transfer learning. - Natural Language Processing: RNNs, GRUs, and LSTMs for text analysis and generation. - Time Series & Prediction: Forecasting problems, built a sunspot prediction model. Thank you to DeepLearning.AI the TensorFlow community for their support! Check out my certificate and GitHub repository: https://lnkd.in/dDvNmHzk https://lnkd.in/d8hKajHW #TensorFlow #MachineLearning #AI #DeepLearning #Certification

I'm thrilled to announce that I've successfully completed the DeepLearning.AI TensorFlow Developer Professional Certificate program! This journey was both exhilarating and demanding, requiring significant dedication and time commitment. However, the experience was incredibly rewarding as it provided me with invaluable insights into the profound impact of AI, machine learning, and deep learning on society. Throughout the program, I delved into various topics, including convolutional neural networks for pattern recognition, natural language processing for text data analysis and prediction, and sequences and time series prediction using datasets such as the sunspot dataset. I had the opportunity to work extensively with algorithms like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM). I'm excited to leverage these newfound skills in fields such as healthcare, finance, and agriculture, where data-driven decision-making can lead to significant advancements and improvements. I'm confident that these capabilities will empower me to make meaningful contributions and drive positive change in these industries. Let's continue to push the boundaries of what's possible with AI and machine learning! Many thanks to #andrewng #LaurenceMoroney #deeplearningai #ai #deeplearning #machinelearning #innovation

🧠 Deep Learning Engineer | PyTorch Specialist 🤖 Successfully completed a challenging deep learning project utilizing PyTorch to build and deploy advanced neural network models. Employed cutting-edge techniques to solve complex problems and achieve superior performance in various tasks. 💼 Key Achievements: Developed and trained deep neural networks using PyTorch to tackle real-world problems such as image classification, object detection, and natural language processing. Implemented state-of-the-art architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models, to achieve high accuracy and efficiency. Fine-tuned pre-trained models and conducted extensive hyperparameter optimization to improve model performance and generalization. Integrated PyTorch models into production environments, ensuring seamless deployment and scalability. Collaborated with interdisciplinary teams to understand project requirements and deliver innovative solutions that met business objectives. 🔧 Skills: PyTorch, Deep Learning, Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformer Models, Model Optimization, Deployment, Problem-solving, Communication. 🚀 Passionate about leveraging PyTorch for building advanced deep learning solutions to address complex challenges and drive innovation. Open to exciting opportunities in deep learning and AI projects.

🎉 Excited to share that I've just completed the DeepLearning.AI TensorFlow Developer Professional Specialization program 🚀 Throughout this journey, I mastered building and training neural networks using TensorFlow, enhancing network performance with convolutions to recognize real-world images, and enabling machines to understand and respond to human speech with natural language processing systems. I also honed my skills in preparing data for time series and exploring how RNNs and ConvNets can be utilized for predictions. These skills have significantly deepened my understanding and abilities in AI and machine learning. This accomplishment is a solid addition to my previous completion of the Mathematics for Machine Learning and Data Science Specialization, where I gained a robust foundation in core mathematics behind machine learning, including linear algebra, calculus, probability, and statistics. #MachineLearning #TensorFlow #AI #DeepLearning #NaturalLanguageProcessing #DataScience #ContinuousLearning