Learn how to apply feature scaling during the data transformation phase to improve Machine Learning results.
Baeldung Author
baeldung
This is the standard author on the site. Most articles are published by individual authors, with their own profiles, but when multiple people have a strong contribution, we publish collectively here.
Here's what I've written (so far):
A Quick Guide to Binary Search Trees
Filed under Data Structures, Trees
A quick and practical guide to binary search trees.
Functional Programming
Filed under Programming
Learn the core concepts of the functional programming paradigm and how it compares to OOP.
Understanding Dimensions in CNNs
Filed under Artificial Intelligence
Learn how different dimensions are used in convolutional neural networks.
Finding the Lowest Common Ancestor of Two Nodes in a Binary Tree
Filed under Algorithms, Trees
Learn how to solve the Lowest Common Ancestor problem of two nodes in a binary tree.
How ReLU and Dropout Layers Work in CNNs
Filed under Artificial Intelligence
Study two fundamental components of Convolutional Neural Networks – the Rectified Linear Unit and the Dropout Layer.
Nonlinear Activation Functions in a Backpropagation Neural Network
Filed under Artificial Intelligence
Study the nonlinear activation functions most commonly used in backpropagation algorithms and other learning procedures.
Implement Stack Using Two Queues
Filed under Data Structures, Programming
Learn how to implement a Stack data structure using two Queues.
The ABA Problem in Concurrency
Filed under Programming
Learn about the ABA problem; how it happens, what problems it can cause, and how to fix it.
Inadequacy of Linear Models: the Road to Nonlinear Functions
Filed under Artificial Intelligence
Explore the differences between linear and nonlinear problems, and how the former are inadequate in dealing with complex nonlinear problems.