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Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Apr 5, 2024 · Artificial Intelligence

Linear Regression Algorithm: Definition, Structure, Implementation, Cost Function, Gradient Descent, and Regularization

This article provides a comprehensive overview of linear regression, covering its definition, purpose, algorithmic steps, data preparation, feature scaling, parameter initialization, cost function computation, gradient descent optimization, visualization, normal equation solution, and regularization, accompanied by detailed Python code examples.

NumPyPythoncost function
0 likes · 19 min read
Linear Regression Algorithm: Definition, Structure, Implementation, Cost Function, Gradient Descent, and Regularization
Python Programming Learning Circle
Python Programming Learning Circle
Dec 14, 2020 · Artificial Intelligence

Understanding Gradient Descent: Concept and Implementation

This article explains the intuition behind gradient descent, describing how the cost function surface is visualized, how the learning rate controls step size, and why updating parameters in the correct order is essential for converging to the optimal solution.

cost functiongradient descentlearning rate
0 likes · 4 min read
Understanding Gradient Descent: Concept and Implementation
Youzan Coder
Youzan Coder
Mar 6, 2019 · Big Data

Analysis of Druid's Balance Strategy and Cost Computation

The article examines Druid’s cost‑based balance strategy introduced in version 0.12.0, explaining how the ‘cost’ algorithm randomly selects a segment, computes a pairwise exponential cost for each Historical node using a closed‑form integral, and moves the segment to the node with minimal cost to improve query parallelism.

Balance StrategyDruidJava
0 likes · 10 min read
Analysis of Druid's Balance Strategy and Cost Computation