- 📖 Introduction to AI
- 🤖 Fundamentals of Machine Learning
- 🏗️ Data Engineering & Preprocessing
- 🏛️ Model Development
- 🎯 AI Model Training & Optimization
- 🚀 AI Model Deployment
- 🛠️ Monitoring & Maintenance
- ⚖️ AI Challenges & Ethical Considerations
- 🔮 Future Directions in AI
Artificial Intelligence (AI) is a branch of computer science focused on creating systems capable of performing tasks that typically require human intelligence. These tasks include speech recognition, decision-making, and problem-solving.
- AI: Broad field encompassing all intelligent machine behavior.
- Machine Learning (ML): A subset of AI that enables systems to learn from data.
- Deep Learning: A further subset of ML using neural networks to learn patterns.
- 🚗 Autonomous Vehicles
- 🗣️ Natural Language Processing (Chatbots, Translation)
- 🏥 Medical Diagnosis
- 🔍 Fraud Detection
- 📈 Regression (Linear, Logistic)
- 🏷️ Classification (SVM, Decision Trees, Random Forest)
- 🧠 Neural Networks
- 📊 Clustering (K-Means, DBSCAN, Hierarchical)
- 🎭 Dimensionality Reduction (PCA, t-SNE)
- ♟️ Markov Decision Process (MDP)
- 🏆 Q-Learning & Deep Q-Networks
- 📥 Data Collection & Cleaning
- 🔍 Handling Missing Data & Outliers
- 🎨 Feature Engineering & Selection
- 📦 Data Augmentation
- 📊 Linear & Logistic Regression
- 🌲 Decision Trees, Random Forest, XGBoost
- 🖼️ CNN for Image Processing
- ⏳ RNN & LSTM for Time-Series & NLP
- 🤖 Transformer Models (BERT, GPT)
- 🎛️ Hyperparameter Tuning
- 📉 Loss Functions & Optimizers (SGD, Adam)
- 🚀 Transfer Learning & Pretrained Models
- 📥 Saving & Loading Models (Pickle, ONNX, TensorFlow Serving)
- 🌍 REST API using Flask/FastAPI
- 📦 Docker & Kubernetes for Scalability
- ☁️ Cloud Deployment (AWS, Azure, GCP)
- 🔄 Model Drift & Retraining
- 📊 Logging & Performance Metrics
- 🚀 MLOps for CI/CD Pipelines
- 🏳️⚖️ Bias & Fairness in AI
- 🔎 Explainability & Interpretability
- 🔐 Data Privacy & Security
- 🧠 General AI & AGI
- ⚛️ AI in Quantum Computing
- 📡 AI for Edge & IoT Devices
- 🔗 LinkedIn: Shaishav Surati 🇮🇳
- 🏗️ GitHub: shaishav06
- 📧 Email: [email protected]