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КУРС 05 / 08
Машинное обучениеПродвинутый

Advanced ML: Unsupervised Learning & Production

Master advanced machine learning techniques including unsupervised learning, neural networks fundamentals, and production deployment. Build production-ready ML systems with modern MLOps practices.

ХАРАКТЕРИСТИКИ КУРСАv2.1
Уроков12
Общая длительность12ч 0м
СложностьПродвинутый
КатегорияМашинное обучение
ТарифБесплатно
Обновлено2025-10-15
ЛокальEN · RU · ZH
§A · ЦЕЛИ
Что вы научитесь делать.
01.Master unsupervised learning: clustering, dimensionality reduction, anomaly detection
02.Understand neural network fundamentals and deep learning basics
03.Learn time series analysis and reinforcement learning intro
04.Deploy ML models to production with proper infrastructure
05.Implement MLOps best practices: monitoring, versioning, pipelines
06.Optimize models for production: quantization, pruning, distillation
07.Handle data drift, A/B testing, and model debugging
08.Build scalable ML serving infrastructure
§B · ИНСТРУМЕНТЫ КУРСА
Рабочие инструменты, на протяжении курса.
FIG. 01VISUALIZATION
Graph Plotter
FIG. 02INTERACTIVE
Anomaly Detector
FIG. 03INTERACTIVE
Neural Network Visualizer
FIG. 04INTERACTIVE
RL Arena
FIG. 05VISUALIZATION
Gradient Lab
FIG. 06VISUALIZATION
Backprop Tracer
FIG. 07VISUALIZATION
Overfitting Room
FIG. 08VISUALIZATION
Loss Landscape Atlas
§C · ПРОГРАММА
Все уроки. По порядку или вразброс.
01Clustering Algorithms: K-Means, DBSCAN, HierarchicalТЕОРИЯ· 60 min02Dimensionality Reduction: PCA, t-SNE, UMAPТЕОРИЯ· 60 min03Anomaly Detection: Isolation Forest & One-Class SVMТЕОРИЯ· 60 min04Gaussian Mixture Models & EM AlgorithmТЕОРИЯ· 60 min05Neural Networks Fundamentals: Perceptrons to BackpropagationТЕОРИЯ· 60 min06Deep Learning Basics: Architectures & TrainingТЕОРИЯ· 60 min07Time Series Analysis: ARIMA, Prophet, ML ForecastingТЕОРИЯ· 60 min08Reinforcement Learning Introduction: Q-Learning & AgentsТЕОРИЯ· 60 min09Model Deployment: API Design & Serving InfrastructureТЕОРИЯ· 60 min10MLOps Fundamentals: Pipelines, Monitoring, VersioningТЕОРИЯ· 60 min11Model Optimization: Quantization, Pruning, DistillationТЕОРИЯ· 60 min12Production Best Practices: A/B Testing, Drift, DebuggingТЕОРИЯ· 60 min