Connie ZhouMastering Data Algorithm — Part 1 Two Pointer Method and Visualization in PythonWelcome to “Mastering Data Algorithms,” a new blog series dedicated to unraveling the complexities of data algorithms. Whether you’re a…6d ago6d ago
Connie ZhouApplied Machine Learning — Part 25 Understanding DNN Backpropagation: A Powerful Tool in Machine…IntroductionJul 1Jul 1
Connie ZhouApplied Machine Learning — Part 24 A Practical Guide: Loss and Gradient in Deep Neural NetworksDeep neural networks (DNNs) have revolutionized many fields, from computer vision to natural language processing. Central to the training…Jun 24Jun 24
Connie ZhouApplied Machine Learning — Part 23 Why you need Gaussian Mixture Models (GMM) instead of K-meansWhy Gaussian Mixture Models Matter in Machine LearningJun 17Jun 17
Connie ZhouApplied Machine Learning — Part 22: Why you need Discrete Markov Random Fields (MRFs)Discrete Markov Random Fields (MRFs) are powerful probabilistic models used for representing spatial or contextual dependencies in data…Jun 10Jun 10
Connie ZhouApplied Machine Learning — Part 21 A Fun Dive into Mean Field Inference for Image DenoisingHey there, fellow enthusiasts! Today, we’re embarking on a delightful journey through the world of image denoising using a technique…Jun 3Jun 3
Connie ZhouApplied Machine Learning — Part 20 Introduction to Mean Field InferenceMean Field Inference (MFI) is a powerful technique used in statistical physics and machine learning to approximate complex probability…May 27May 27
Connie ZhouApplied Machine Learning — Part 19 Demystifying CNN Feature Maps: Understanding, Comparing, and…Introduction: Convolutional Neural Networks (CNNs) have revolutionized the field of computer vision, enabling machines to understand and…May 20May 20
Connie ZhouApplied Machine Learning — Part 18: Demystifying 3D Convolution: A Beginner’s Guide to…3D convolution is a powerful tool in the field of image processing and computer vision. While its applications are vast and diverse…May 13May 13
Connie ZhouApplied Machine Learning — Part 17 Understanding Convolutional Layer Classification: A…In the vast landscape of machine learning algorithms, convolutional neural networks (CNNs) have emerged as a powerful tool for tasks…May 6May 6
