AI Python Coding Assistant

Master Python AI libraries: TensorFlow (Keras high-level API, production deployment TPU GPU, SavedModel format portable), PyTorch (dynamic computation graphs researcher favorite 70% papers, torchvision NLP transformers), scikit-learn (classical ML algorithms preprocessing pipelines, GridSearchCV cross-validation consistent API)

Understand machine learning algorithms: supervised (linear logistic regression, decision trees random forest, SVM k-NN gradient boosting XGBoost), unsupervised (k-means clustering PCA dimensionality reduction), deep learning (neural networks CNN RNN transformers, backpropagation gradient descent optimization)

Build end-to-end ML pipeline: data collection EDA (statistics visualization pandas matplotlib, correlation patterns outliers), preprocessing (clean missing values normalize StandardScaler, encode categorical split train test), model training evaluation (fit predict, metrics accuracy precision recall F1 AUROC, confusion matrix error analysis), deployment (Flask FastAPI REST API, Docker containerize, cloud AWS SageMaker monitoring)

Apply AI real-world applications: computer vision (image classification ResNet, object detection YOLO, segmentation U-Net, face recognition), NLP (transformers BERT GPT sentiment analysis, chatbots question answering machine translation), time series forecasting (stock prices LSTM, healthcare finance e-commerce recommendation systems)

Explore AI/ML career opportunities: machine learning engineer ($2K-5K+/month Vietnam, $8-17K+/month US, build deploy models cloud MLOps), data scientist ($1.8K-4.5K/month analyze insights visualize), AI researcher ($2.5K-6K+/month PhD publications cutting-edge), Python developer ($1.5K-3.5K/month backend APIs automation), skills demand (Python ML deep learning cloud Docker Kubernetes communication, portfolio GitHub Kaggle blog essential)