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Data Analytics and Machine Learning for Big Data · LearnSpace
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Data Analytics and Machine Learning for Big Data

Курс от Microsoft
Средний≈ 32.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This advanced course teaches machine learning and AI techniques for big data systems. Learners will build end-to-end ML pipelines with PySpark ML, implement supervised and unsupervised models, and apply NLP techniques at scale. The course also explores deep learning, distributed training, and integrating Generative AI into big data workflows. By the end of this course, you will be able to: - Implement ML pipelines using PySpark ML - Build supervised, unsupervised, and recommendation models - Apply NLP and text analytics to large datasets -Integrate Generative AI and LLMs with big data systems Tools & Software: PySpark ML, PyTorch, TensorFlow, Azure Machine Learning, Azure OpenAI Service Skills: Machine learning, NLP, Deep learning, Generative AI, Model evaluation

Навыки, которые вы освоите

Applied Machine LearningApache SparkModel TrainingLarge Language Modeling

Программа курса

5 модулей · 107 учебных материалов

01Machine Learning Fundamentals for Big Data19 материалов

Machine Learning and Big Data Overview

Machine Learning Transforms Big Data into Business IntelligenceВидеоMachine Learning Fundamentals for Big Data EnvironmentsЧтениеML Problem Classification and Business MappingВидеоML Strategy for Big Data ScenariosDIALOGUE

Учитесь у экспертов

Microsoft

Преподаватель курса

Data Analytics and Machine Learning for Big Data
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 32.2 ч

5 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Пушту, Испанский, Дари, Японский

Часть программы вашего университета
Machine Learning Problem AnalysisЗадание
ML Fundamentals for Big Data AssessmentЗадание

Data Preparation for Machine Learning

Data Quality Drives ML Success at ScaleВидеоBig Data ML Preparation TechniquesЧтениеDistributed Data Preparation WorkflowsВидеоData Preparation Strategy and Quality AssessmentDIALOGUEML Data Preparation PipelineЗаданиеData Preparation for ML at Scale AssessmentЗадание

Model Evaluation and Selection

Rigorous Evaluation Prevents ML Disasters at ScaleВидеоML Model Evaluation for Big Data SystemsЧтениеImplementing Scalable Model EvaluationВидеоEvaluation Strategy Design and OptimizationDIALOGUEScalable Model EvaluationЗаданиеModel Evaluation at Scale AssessmentЗаданиеML Fundamentals for Big Data MasteryЗадание
02Building ML Models with PySpark ML22 материалов

Introduction to PySpark ML

Democratizing Machine Learning at Enterprise ScaleВидеоPySpark ML Architecture and Platform ComparisonЧтениеPySpark ML Pipeline Development Across PlatformsВидеоML Pipeline Component DevelopmentЗаданиеPlatform Selection Strategy for ML WorkloadsDIALOGUEML Platform Comparison and Pipeline CreationЗаданиеPySpark ML Platform Fundamentals AssessmentЗадание

Classification and Regression Models

Supervised Learning Success Stories in Enterprise Big DataВидеоSupervised Learning Algorithms for Big DataЧтениеSupervised Learning Model DevelopmentВидеоSupervised Learning ImplementationЗаданиеAlgorithm Selection and Platform ArchitectureDIALOGUESupervised Learning Model DevelopmentЗадание

Clustering and Recommendation Systems

Recommendation Systems Drive Business GrowthВидеоUnsupervised Learning and Recommendation SystemsЧтениеBuilding Scalable Recommendation SystemsВидеоRecommendation System ImplementationЗаданиеRecommendation Architecture and Deployment StrategyDIALOGUERecommendation System DevelopmentЗадание
03Text Analytics and NLP at Scale22 материалов

Text Processing Fundamentals

Unlocking Value from Unstructured Text at ScaleВидеоDistributed Text Processing TechniquesЧтениеBuilding Scalable Text Processing PipelinesВидеоText Preprocessing Pipeline DevelopmentЗаданиеText Processing Strategy and Quality OptimizationDIALOGUEScalable Text Preprocessing DesignЗаданиеText Processing at Scale AssessmentЗадание

Advanced NLP Techniques

Advanced NLP Drives Business IntelligenceВидеоAdvanced NLP Techniques for Big DataЧтениеImplementing Advanced NLP at ScaleВидеоAdvanced NLP Implementation and MonitoringЗаданиеNLP Integration Architecture and StrategyDIALOGUENLP System Architecture DesignЗадание

Implementing Text Classification

Production-Scale Text Classification Transforms Business OperationsВидеоScalable Text Classification ArchitecturesЧтениеBuilding Production Text Classification SystemsВидеоText Classification System DevelopmentЗаданиеText Classification Architecture and Performance OptimizationDIALOGUEText Classification System ImplementationЗадание
04Deep Learning for Big Data22 материалов

Deep Learning Fundamentals

Deep Learning Revolutionizes Big Data AnalyticsВидеоDeep Learning Architectures for Big DataЧтениеNeural Network Implementation in Big Data FrameworksВидеоNeural Network ImplementationЗаданиеNeural Network Architecture Selection and OptimizationDIALOGUENeural Network for Big Data ClassificationЗаданиеDeep Learning Fundamentals AssessmentЗадание

Deep Learning Architectures for Big Data

Advanced Architectures Transform Complex Data AnalysisВидеоAdvanced Deep Learning Architectures for ScaleЧтениеCNN and RNN Implementation at ScaleВидеоAdvanced Architecture ImplementationЗаданиеArchitecture Selection for Specific Big Data ProblemsDIALOGUEDeep Learning Architecture DesignЗадание

Distributed Deep Learning

Distributed Deep Learning Enables Breakthrough ScaleВидеоDistributed Deep Learning Training StrategiesЧтениеImplementing Distributed Deep Learning TrainingВидеоDistributed Training Implementation and ManagementЗаданиеDistributed Training Strategy and InfrastructureDIALOGUEDistributed Deep Learning TrainingЗадание
05Generative AI and Big Data Integration22 материалов

Introduction to Generative AI

Generative AI Transforms Big Data AnalyticsВидеоGenerative AI Architectures and Big Data IntegrationЧтениеExploring Generative AI Models for Data ApplicationsВидеоGenerative AI Model ExplorationЗаданиеGenAI Strategy for Big Data EnhancementDIALOGUEGenerative AI Fundamentals AssessmentЗадание

Working with Large Language Models

LLMs Democratize Data AnalysisВидеоLarge Language Model Integration StrategiesЧтениеLLM Integration with Big Data PipelinesВидеоLLM API Integration and AutomationЗаданиеLLM Integration Architecture and Service IntegrationDIALOGUELLM-Enhanced Data Analysis PipelineЗадание

Fine-tuning and Domain Adaptation

Domain-Specific AI Models Drive Business ValueВидеоModel Fine-tuning and Domain Adaptation StrategiesЧтениеImplementing Fine-tuning Pipelines - Part 1ВидеоImplementing Fine-tuning Pipelines - Part 2ВидеоFine-tuning Pipeline Implementation and MonitoringЗаданиеFine-tuning Strategy and Production DeploymentDIALOGUE
Supervised Learning at Scale AssessmentЗадание
Unsupervised Learning and Recommendations AssessmentЗадание
PySpark ML Implementation MasteryЗадание
Advanced NLP Techniques AssessmentЗадание
Text Classification at Scale AssessmentЗадание
Text Analytics and NLP MasteryЗадание
Advanced Deep Learning Architectures AssessmentЗадание
Distributed Deep Learning Training AssessmentЗадание
Deep Learning for Big Data MasteryЗадание
LLM Integration Techniques AssessmentЗадание
Domain-Specific Model Fine-tuning StrategyЗадание
Model Customization Techniques AssessmentЗадание
Generative AI Integration MasteryЗадание