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    Data Engineering

    974 курсов
    Practical Machine Learning with Tensorflow
    NPTEL IIT Bombay

    Practical Machine Learning with Tensorflow

    1 reviews
    Implementing Data Capture for ML Observability and Drift Detection
    MLOps.community

    Implementing Data Capture for ML Observability and Drift Detection

    Going Beyond Two-Tier Data Architectures with DuckDB
    MLOps.community

    Going Beyond Two-Tier Data Architectures with DuckDB

    Building Data Infrastructure at Scale for AI/ML with Open Data Lakehouses
    MLOps.community

    Building Data Infrastructure at Scale for AI/ML with Open Data Lakehouses

    Building Hyper-Personalized LLM Applications with Rich Contextual Data - DE4AI
    MLOps.community

    Building Hyper-Personalized LLM Applications with Rich Contextual Data - DE4AI

    The Daft Distributed Python Data Engine: Multimodal Data Curation at Any Scale
    MLOps.community

    The Daft Distributed Python Data Engine: Multimodal Data Curation at Any Scale

    Reproducible Data Science Over Data Lakes
    MLOps.community

    Reproducible Data Science Over Data Lakes

    Data Contracts and Observability: Complementary Approaches to Data Quality
    MLOps.community

    Data Contracts and Observability: Complementary Approaches to Data Quality

    Scaling Data Reliably: A Journey in Growing Through Data Pain Points
    MLOps.community

    Scaling Data Reliably: A Journey in Growing Through Data Pain Points

    An Overview of Common ML Serving Architectures
    MLOps.community

    An Overview of Common ML Serving Architectures

    Data Engineering for Streamlining the Data Science Developer Experience - DE4AI
    MLOps.community

    Data Engineering for Streamlining the Data Science Developer Experience - DE4AI

    Partnering with Product for Effective Data Ingestion and Training Data
    MLOps.community

    Partnering with Product for Effective Data Ingestion and Training Data

    The Evolution of Lyft's ML Feature Store
    MLOps.community

    The Evolution of Lyft's ML Feature Store

    AI-Powered Data Unification for Data Platforms
    MLOps.community

    AI-Powered Data Unification for Data Platforms

    Putting the AI Back in Medallion Lake Design
    MLOps.community

    Putting the AI Back in Medallion Lake Design

    DuckDB's Search Capabilities for AI and LLM Stacks
    MLOps.community

    DuckDB's Search Capabilities for AI and LLM Stacks

    Realtime Streaming for Anomaly Detection - An End-to-End Data Engineering Project
    CodeWithYu

    Realtime Streaming for Anomaly Detection - An End-to-End Data Engineering Project

    MLOps Platform Architecture for End-to-End ML Pipelines
    Toronto Machine Learning Society (TMLS)

    MLOps Platform Architecture for End-to-End ML Pipelines

    Building Scalable ML Services for Rapid Development in Health and Wellness
    Toronto Machine Learning Society (TMLS)

    Building Scalable ML Services for Rapid Development in Health and Wellness

    ML Platform Beyond Kaggle Paradigm - Policy-Centric Approach for End-to-End Automation
    Toronto Machine Learning Society (TMLS)

    ML Platform Beyond Kaggle Paradigm - Policy-Centric Approach for End-to-End Automation

    Anomaly Detection on 5 Pillars of Data Observability with Dynatrace Davis AI
    Dynatrace

    Anomaly Detection on 5 Pillars of Data Observability with Dynatrace Davis AI