CLIP-Based Adaptive Graph Attention Network for Large-Scale Unsupervised Multi-Modal Hashing Retrieval mdpi.com/1424-8220/23/7/3439 #unsupervised_learning #deep_hashing

🤖 Artificial Intelligence Roadmap 🧠 |-- Fundamentals |  |-- Mathematics |  |  |-- Linear Algebra |  |  |-- Calculus |  |  |-- Probability & Statistics |  |  └─ Discrete Mathematics |  | |  |-- Programming |  |  |-- Python |  |  |-- R (Optional) |  |  └─ Data Structures & Algorithms |  | |  └─ Machine Learning Basics |    |-- Supervised Learning |    |-- Unsupervised Learning |    |-- Reinforcement Learning |    └─ Model Evaluation & Selection |-- Supervised_Learning |  |-- Regression |  |  |-- Linear Regression |  |  |-- Polynomial Regression |  |  └─ Regularization Techniques |  | |  |-- Classification |  |  |-- Logistic Regression |  |  |-- Support Vector Machines (SVM) |  |  |-- Decision Trees |  |  |-- Random Forests |  |  └─ Naive Bayes |  | |  └─ Model Evaluation |    |-- Metrics (Accuracy, Precision, Recall, F1-Score) |    |-- Cross-Validation |    └─ Hyperparameter Tuning |-- Unsupervised_Learning |  |-- Clustering |  |  |-- K-Means Clustering |  |  |-- Hierarchical Clustering |  |  └─ DBSCAN |  | |  └─ Dimensionality Reduction |    |-- Principal Component Analysis (PCA) |    └─ t-distributed Stochastic Neighbor Embedding (t-SNE) |-- Deep_Learning |  |-- Neural Networks Basics |  |  |-- Activation Functions |  |  |-- Loss Functions |  |  └─ Optimization Algorithms |  | |  |-- Convolutional Neural Networks (CNNs) |  |  |-- Image Classification |  |  └─ Object Detection |  | |  |-- Recurrent Neural Networks (RNNs) |  |  |-- Sequence Modeling |  |  └─ Natural Language Processing (NLP) |  | |  └─ Transformers |    |-- Attention Mechanisms |    |-- BERT |    |-- GPT |-- Reinforcement_Learning |  |-- Markov Decision Processes (MDPs) |  |-- Q-Learning |  |-- Deep Q-Networks (DQN) |  └─ Policy Gradient Methods |-- Natural_Language_Processing (NLP) |  |-- Text Processing Techniques |  |-- Sentiment Analysis |  |-- Topic Modeling |  |-- Machine Translation |  └─ Language Modeling |-- Computer_Vision |  |-- Image Processing Fundamentals |  |-- Image Classification |  |-- Object Detection |  |-- Image Segmentation |  └─ Image Generation |-- Ethical AI & Responsible AI |  |-- Bias Detection and Mitigation |  |-- Fairness in AI |  |-- Privacy Concerns |  └─ Explainable AI (XAI) |-- Deployment & Production |  |-- Model Deployment Strategies |  |-- Cloud Platforms (AWS, Azure, GCP) |  |-- Model Monitoring |  └─ Version Control |-- Online_Resources |  |-- Coursera |  |-- Udacity |  |-- fast.ai |  |-- Kaggle |  └─ TensorFlow, PyTorch Documentation React ❤️ if this helped you!

I just published Independent Component Analysis (ICA) link.medium.com/ugPmnlNVvLb Hi everyone, check out my new Blog on independent component analysis #techblog #MachineLearning #ICA #unsupervised_learning

.@melikapayvand et al. @UZH_en @ETH_en demonstrate an adaptive hardware architecture #Memristive #Selforganizing Spiking Recurrent Neural Network for sequence learning #RRAM #online_learning #unsupervised_learning #neuromorphic #GettingApplied nature.com/articles/s41467-0…

@melikapayvand explains their new approach at mnf.uzh.ch/de/news/Melika_Pa… Read the @NatureComms #publication hot off the press at rdcu.be/cWKNR @giacomoi #self_organization #online_learning #memristors #neuromorphic #unsupervised_learning #SciComm

A good comparison of various #MachineLearning techniques. #supervised_learning #unsupervised_learning #reinforcement_learning

Could #self_supervised_learning be the future of AI? It will be a big mutation in #MachineLearning. #ArtificialIntelligence #supervised_learning #unsupervised_learning

به لحاظ علمی و فنی، اطلاعات از node ها به sink ارسال و از نظر ارزش و اهمیت کلاسترینگ (Clustering) میشن و بخاطر نوع شبکه یادگیری که بدون ناظر هست، اتوماتیک یادگیری صورت میگیره. #Unsupervised_Learning

توی این مطلب خیلی مختصر و به زبان ساده #supervised_learning و #unsupervised_learning که جزء سرفصل های #یادگیری_ماشین هستند رو توضیح دادم. vrgl.ir/pqvq6 خوشحال می‌شم بخونید و نظرتون رو باهام به اشتراک بذارید :) #ماشین_لرنینگ #machine_learning

I just did a video on #self_supervised_learning of #speech representations. I first introduce #unsupervised_learning and then I will describe our recent attempts to learn high-quality speech representations using self-supervised approaches. @MILAMontreals youtu.be/1zjUmY8L5TU

An #AI Physicist for #Unsupervised_Learning. It can derive the natural laws of imagined universes. Must have drawn inspiration from Albert AI-nstein, AI_ssac Newton, G A(l)I-Leo & Richard F-AI_ymann. bit.ly/2PDoEsd #OccamRazor #NeuralNetworks

Our cutting-edge solutions around Machine Learning can take your organization to the next level in the digitalization journey.. goo.gl/2wz1ic #Q3Tech #Q3Technologies #MachineLearning #Unsupervised_Learning #Supervised_Learning #Classification #Regression #Clustering

Prasanna @machinifyai talking about the hurdles AI faces today and why they are not deployed. @ILNmuse #TechTuesday #Machine_Learning #Artificial_Intelligence #Realtime_intervention #Deep_Learning #Unsupervised_learning #Decision_Support_Systems

Researchers @UAlberta are using #ArtificialIntelligence to decipher the text in the 15th-century Voynich manuscript bit.ly/2HwOoj0 #Natural_Language_Processing #Unsupervised_learning @folioUAlberta

Unsupervised Anomaly Detection with Spark #AnomalyDetection, #Unsupervised_learning, #Random_Forest, #Spark, #Python mapr.com/ebooks/spark/08-uns…