Introduction to PyTorch History and Background Features of PyTorch Tensors in PyTorch Dynamic vs Static Computation Building Neural Networks PyTorch vs TensorFlow Popular Libraries and Extensions Final Thoughts Introduction to PyTorch PyTorch is an open‑source, Python based deep learning framework renowned for its flexibility, ease of...

What is an Epoch? Role in Training Neural Networks Epoch vs Batch vs Iteration Overfitting and Underfitting Selecting the Right Number of Epochs Monitoring Model Performance Early Stopping Technique Visualization Tools Summary What is an Epoch? In machine learning, an epoch is one complete pass through the entire Role in training neural...

Introduction to Image Annotation Why Annotation is Important Types of Image Annotations Tools Used for Image Annotation Manual vs Automated Annotation Datasets for Computer Vision Quality Control in Annotation Challenges and Limitations Final Thoughts Introduction to Image Annotation In computer vision, image annotation is the process of...

Definition of MLOps Need for MLOps in Industry ML Lifecycle Management Continuous Integration/Deployment (CI/CD) Version Control for Models Monitoring and Logging Tools and Frameworks Real-world Use Cases Challenges and Solutions Summary Definition of MLOps MLOps, short for Machine Learning Operations, is a set of...

Introduction to AI in EdTech Personalized Learning Systems Automated Grading Systems Intelligent Tutoring Systems Chatbots in Education Predictive Analytics Virtual Reality with AI AI for Special Needs Education Ethics and Privacy Concerns Challenges in Adoption Future Outlook Conclusion Introduction to AI in...

Introduction to Natural Language Processing Text Classification Project Sentiment Analysis Named Entity Recognition Chatbot Development Text Summarization Spell Checker Project Language Translation Text-to-Speech System Conclusion Introduction to Natural Language Processing NLP Projects for Beginners are an...

Introduction to Perceptron History and Background Perceptron Architecture Mathematical Formulation Learning Algorithm Limitations of Single Layer Perceptron Multi Layer Perceptron (MLP) Perceptron in Neural Networks Use Cases and Examples Implementation in Python Perceptron Training Visualization Summary ...

Overview of Machine Learning Supervised Learning Models Unsupervised Learning Models Semi Supervised Learning Reinforcement Learning Decision Trees and Random Forests Support Vector Machines (SVM) Neural Networks Ensemble Models Model Selection and Evaluation Future Trends Conclusion Overview of Machine Learning...

What is Reinforcement Learning? Basics of Q Learning Q-Table and Q-Values Exploration vs Exploitation Q Learning Algorithm Environment and Rewards Applications (e.g., Game AI) Summary What is Reinforcement Learning ? Reinforcement Learning in Machine Learning Training where an agent learns to make decisions by performing actions in an...

Introduction to Regularization Understanding Overfitting Ridge vs Linear Regression Cost Function of Ridge Role of Lambda (Regularization Strength) Mathematical Formulation Implementation in Python Use Cases Summary Introduction to Regularization In machine learning, the goal is to build models that generalize well on unseen data....