🤖 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!

Calibrating Low-Cost Smart Insole Sensors with Recurrent Neural Networks for Accurate Prediction of Center of Pressure mdpi.com/1424-8220/24/15/476… #supervised_learning #gait_analysis

#Highcited #highviewed #review 📝A Survey on #Active_Learning: State-of-the-Art, Practical Challenges and Research Directions 🔎 Article Views: 12310; Citations: 45 📍 buff.ly/3RBm03M #query_strategy; #supervised_learning; #AI @MDPIOpenAccess @ComSciMath_Mdpi

تقنيات الذكاء الاصطناعي مذكورة في القرآن الكريم، قال الله تعالى:"وعلّم آدم الأسماء كلها"31البقرة. التعلم الخاضع للإشراف #Supervised_learning هو فئة فرعية من الذكاء الاصطناعي تستخدم فيه مجموعات بيانات مصنفة #Labeled_datasets لتدريب الخوارزميات لتوقع النتائج بدقة.دين صالح لكل زمان!

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

#ثرد #الذكاءـالاصطناعي يعتبر التصنيف (#classification) من اهم عمليات التدريب الموجه #supervised_learning حيث يتم فهم النتائج و ما تمثله البيانات حيث تكون النتيجه ما هو ال label الذي يمثل هذه البيانات وتعتد على استخدام الخوارزميات المناسبة لكل نوع تصنيف و كما يلي:

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

Cross validation uses a resampling scheme to evaluate machine learning model @Azure Machine Learning Studio #ML #Supervised_learning #AzureML #linear_regression #forest_regression #cross_validation

Tune Model #Hyperparameters automatically search for optimal combinations of machine learning model hyperparameters using Microsoft @Azure Machine Learning Studio #ML #Supervised_learning #AzureML #linear_regression #forest_regression

Compare linear regression to Decision Forest regression using Microsoft @Azure Machine Learning Studio #ML #Classifier #Classification #Supervised_learning #AzureML #linear_regression #forest_regression

Creating a linear regression prediction using Microsoft @Azure Machine Learning Studio #ML #Classifier #Classification #Supervised_learning #AzureML #linear_regression

Pneumonia Prediction from X-RAY reports is done now. Model Accuracy:99.04% #MachineLearning #100DaysOfMLCode #transferLearning #supervised_learning

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

Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques mdpi.com/265846 #UAS #supervised_learning #farm_management