Connie ZhouMastering Data Algorithm — Part 4 Fast and Slow Pointers TechniqueIn our ongoing journey to master various algorithmic techniques, we’ve covered numerous strategies that help solve complex problems…23h ago23h ago
Connie ZhouMatering Data Algorithm — Part 3 Fast and Slow Pointers in PythonWelcome back to our “Mastering Algorithms” series! In our previous post, we delved into the fundamentals of algorithms. This week, we’re…Jul 22Jul 22
Connie ZhouMastering Data Algorithm — Part 2 Two-Pointer Technique and VisualizationsLast week, we discussed the two-pointer technique and illustrated it with four examples. This week, we’ll explore three more examples to…Jul 15Jul 15
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…Jul 8Jul 8
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