Ethical Spectacle Research’s Post

Next week, Stevens’ College of Online and Professional Education is hosting an AI Workshop and Hackathon — a 24-hour coding marathon as part of Stevens’ Martin Luther King Jr. Week of Service. I’ll be leading two workshops during the event: Monday, 1/27: AI Literacy - Basic. A beginner-friendly introduction to Artificial Intelligence, with a focus on Machine Learning and Large Language Models. Tuesday, 1/28: AI Literacy - Advanced. A hands-on session with exercises on practical applications of current ML systems. I will post the recordings for both the workshops.

Excited to attend the "Demystifying AI for Software Engineering" Tech Lab at PLG Disrupt Summit! 🚀 This workshop dives deep into machine learning and deep learning, blending theory with practical applications. It covers data preprocessing, feature selection, model building, and algorithm optimization, with hands-on activities and interactive lectures. Looking forward to learn about building ML models and staying ahead in AI and ML advancements. #AI #MachineLearning #DeepLearning #SoftwareEngineering #TechLab #Innovation #PLGDisruptSummit

🚀 𝗝𝗼𝗶𝗻 𝘂𝘀 𝗳𝗼𝗿 Omdena 𝗟𝗶𝘃𝗲 𝗖𝗼𝗱𝗶𝗻𝗴 𝗦𝗲𝘀𝘀𝗶𝗼𝗻: 𝗙𝗶𝗻𝗲-𝘁𝘂𝗻𝗲 𝗟𝗹𝗮𝗺𝗮 𝟯.𝟮 🚀 🗓 𝗗𝗮𝘁𝗲: 𝗢𝗰𝘁𝗼𝗯𝗲𝗿 𝟭𝟵, 𝟮𝟬𝟮𝟰 ⏰ 𝗧𝗶𝗺𝗲: 𝟭𝟰:𝟬𝟬 𝗨𝗧𝗖 Get ready for an exciting Omdena 𝗟𝗶𝘃𝗲 𝗖𝗼𝗱𝗶𝗻𝗴 𝗦𝗲𝘀𝘀𝗶𝗼𝗻! We'll dive into the world of LLaMA models and explore how to fine-tune the powerful 𝗟𝗹𝗮𝗺𝗮 𝟯.𝟮 from Meta for various applications. 🌟 Perfect for developers, data scientists, and AI enthusiasts eager to advance their knowledge and coding skills while working with state-of-the-art AI. 𝗬𝗼𝘂'𝗹𝗹 𝗹𝗲𝗮𝗿𝗻 𝘁𝗼: 🌟Fine-tune LLaMA models for specific tasks and industries 🌟Understand the capabilities of LLaMA 3.2 and its performance improvements 🌟Apply advanced techniques for training and optimizing large language models 🌟Use LLaMA 3.2 with Groq API & Streamlit 👉 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗵𝗲𝗿𝗲: https://lu.ma/96b7zzw2 Don’t miss out on this hands-on opportunity to learn and enhance your AI skillset! Let's push the boundaries of AI innovation together! 💡 #Omdena #AI #ArtificialIntelligence #MachineLearning #LiveCoding #LLaMA #TechInnovation #AIForGood #CodingCommunity #DataScience #ModelFineTuning #AICommunity

Hello #Everyone, Delighted to present the Speech Emotion Recognition (SER) project, undertaken at #ZidioDevelopment 🚀,aimed to develop a system capable of accurately identifying and classifying human emotions based on speech signals. By analyzing vocal expressions, the system seeks to recognize emotions such as happiness, sadness, anger, surprise, and neutrality with applications in human-computer interaction, customer service, and mental health monitoring. 1. Data Preparation: - Data Collection: Downloaded a comprehensive dataset from Kaggle, containing a mix of emotional speech data. - Visualization: Took a deep dive into the data, visualizing each emotion to get a better understanding. - Feature Extraction: Leveraged the librosa library to extract key audio features, including MFCC, mel-spectrogram, Zero-Crossing Rate (ZCR), contrast, and chroma. These features are crucial as they capture the nuances in speech that reflect different emotions. - Preprocessing: Applied label encoding to categorize emotions, followed by a train-test split and feature scaling to prepare the data for modeling. 2. Model Building: - Initial Attempts with ANN: Started with simple and complex Artificial Neural Networks (ANNs) with multiple hidden layers. Unfortunately, these models tended to underfit the data, highlighting the challenges of using AN for sequential data like speech. - Switching to CNN-LSTM: Realizing the need for a more sophisticated approach, I designed a CNN-LSTM model. 3. Training & Results: - On the Torento Emotion Speech Set (TESS): The CNN-LSTM model achieved a remarkable 98.99% training accuracy and 98% validation accuracy. - On Combined Datasets: After combining the TESS, RAVDESS, and SAVEE datasets and addressing class imbalance by downscaling the neutral class, the model achieved 87% training accuracy and 78% validation accuracy. This project was a deep dive into the world of speech emotion recognition and gave me hands-on experience with advanced deep learning techniques. I learned a lot about the importance of feature extraction, model selection, and the intricacies of working with audio data. #DataScience #MachineLearning #SpeechEmotionRecognition #DeepLearning #Python #ZidioDevelopment

Just finished "AI Workshop: Hands-on with GANs with Deep Convolutional Networks" by Janani Ravi! Check it out: https://lnkd.in/g8WJwTwv #convolutionalneuralnetworks, #generativeadversarialnetworks.

finished the course “AI Workshop: Hands-on with GANs with Deep Convolutional Networks” by Janani Ravi! Check it out: https://lnkd.in/gsKA8q-v #convolutionalneuralnetworks #generativeadversarialnetworks.

✨Thrilled to share that I've successfully completed the ML workshop at SVVV, conducted by Coding Thinker. This workshop equipped me with valuable knowledge in Machine learning , Looking forward to leveraging these skills in future projects." completing the workshop!✨ #machinelearning #codingthinker #svvv #AI #datascience

📢 Free 5-Day Generative AI Intensive Course with Google 📅 Dates: Monday, November 11 - Friday, November 15 💻 Format: Online Google is offering a focused, 5-day free course for those interested in understanding the essential technologies behind Generative AI. Developed by Google’s ML researchers and engineers, this program combines in-depth learning with practical coding examples. Course Highlight:    📘 Day 1: Foundational Models & Prompt Engineering – Learn the     basics of large language models and prompt engineering techniques..   🧩 Day 2: Embeddings and Vector Databases – Dive into embedding     methods, vector search, and practical applications.   🤖 Day 3: Generative AI Agents – Understand the components and     development of AI agents.   🧬 Day 4: Domain-Specific LLMs – Insights into specialized models like     SecLM and Med-PaLM. ⚙️ Day 5: MLOps for Generative AI – Learn about adapting MLOps      practices . This course could be an interesting opportunity for anyone looking to expand their knowledge and skills in Generative AI. 👉 Here’s the link to subscribe: 

Just finished the course “AI Workshop: Hands-on with GANs with Deep Convolutional Networks” by Janani Ravi! Check it out: https://lnkd.in/d7DvQU_8 #convolutionalneuralnetworks #generativeadversarialnetworks.

𝗝𝗼𝗶𝗻 𝘂𝘀 𝗳𝗼𝗿 Omdena 𝗟𝗶𝘃𝗲 𝗖𝗼𝗱𝗶𝗻𝗴 𝗦𝗲𝘀𝘀𝗶𝗼𝗻: 𝗙𝗶𝗻𝗲-𝘁𝘂𝗻𝗲 𝗟𝗹𝗮𝗺𝗮 𝟯.𝟮 🚀 🗓 𝗗𝗮𝘁𝗲: 𝗢𝗰𝘁𝗼𝗯𝗲𝗿 𝟭𝟵, 𝟮𝟬𝟮𝟰 ⏰ 𝗧𝗶𝗺𝗲: 𝟭𝟰:𝟬𝟬 𝗨𝗧𝗖 Get ready for an exciting Omdena 𝗟𝗶𝘃𝗲 𝗖𝗼𝗱𝗶𝗻𝗴 𝗦𝗲𝘀𝘀𝗶𝗼𝗻! We'll dive into the world of LLaMA models and explore how to fine-tune the powerful 𝗟𝗹𝗮𝗺𝗮 𝟯.𝟮 from Meta for various applications. This is perfect for developers, data scientists, and AI enthusiasts eager to advance their knowledge and coding skills while working with state-of-the-art AI. 𝗬𝗼𝘂'𝗹𝗹 𝗹𝗲𝗮𝗿𝗻 𝘁𝗼: - Fine-tune LLaMA models for specific tasks and industries - Understand the capabilities of LLaMA 3.2 and its performance improvements - Apply advanced techniques for training and optimizing large language models - Use LLaMA 3.2 with Groq API & Streamlit 👉 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗵𝗲𝗿𝗲: https://lu.ma/96b7zzw2 Don’t miss out on this hands-on opportunity to learn and enhance your AI skillset! Let's push the boundaries of AI innovation together! #Omdena #AI #ArtificialIntelligence #MachineLearning #LiveCoding #LLaMA #TechInnovation #AIForGood #CodingCommunity #DataScience #ModelFineTuning #AICommunity