Effective Data Management – Practical Data needs of Machine Learning: Distributed Data Management
Hyper Cycle of Data Management as the overview and in particular “Distributed Data Management and Storage Mechanism” as the data abstraction layer for accessing and storing into multiple databases [key/value, Doc, Rdbms] a.k.a Unified Data Driver
Effective Data Management – Practical Data needs of Machine Learning: Distributed Data Management
未经允许不得转载:finelybook » Effective Data Management – Practical Data needs of Machine Learning: Distributed Data Management
相关推荐
Practical Deep Learning with PyTorch: PyTorch implementation for computer vision, NLP, audio, and language translation
Network Optimization: An Introduction to the Network Reconstruction Approach: Network Reconstruction Approach to optimization
C++ Regular Expressions Simplified: A Practical Guide with Examples
IBS For Dummies
Ultimate Snowflake Cortex AI for Generative AI Applications: Design, Build, and Deploy Generative AI Solutions with Snowflake Cortex for Real-World and Industry-Scale Applications
High-performance Algorithmic Trading using Machine Learning: Building automated trading strategies with AutoML and feature engineering