İlyurek KılıçOptimizers: A Deep Dive into Gradient Descent, Adam, and BeyondOptimizers are crucial in machine learning, helping models learn by adjusting the weights to minimize the loss function. Choosing the right…Aug 12Aug 12
İlyurek KılıçUnderstanding the Vanishing Gradient Problem and the Role of Activation FunctionsDeep learning has revolutionized many fields, from computer vision to natural language processing. However, training deep neural networks…Aug 9Aug 9
İlyurek KılıçAttention Mechanism and Positional Encoding in Neural NetworksIn the rapidly evolving field of deep learning, attention mechanisms, and positional encoding have become crucial components in the…Aug 1Aug 1
İlyurek KılıçPioneers of Computing: A Journey through the Minds Shaping Our Digital FutureIn the vast landscape of technological advancement, certain names stand out as pillars upon which our digital world is built. From ancient…Apr 14Apr 14
İlyurek KılıçThe Incompatibility of the Central Limit Theorem with the Cauchy DistributionThe Central Limit Theorem (CLT) is a fundamental concept in statistics, providing a powerful tool for understanding the behavior of sample…Feb 22Feb 22
İlyurek KılıçExploring the Core of Big Data: Hadoop’s Distributed File System (HDFS)In the ever-expanding realm of big data, efficient storage, and retrieval of vast amounts of information form the cornerstone of successful…Jan 21Jan 21
İlyurek Kılıç#13 Let’s Prepare for the Machine Learning Interview: LLM’sLarge language models use transformer models and are trained using massive datasets — hence, large. This enables them to recognize…Nov 21, 2023Nov 21, 2023
İlyurek Kılıç#12 Let's Prepare for the Machine Learning Interview: K-Nearest Neighbors (KNN)K-Nearest Neighbors (KNN) is a simple and widely used classification algorithm in machine learning. It is a supervised learning algorithm…Nov 19, 2023Nov 19, 2023
İlyurek Kılıç#11 Let's Prepare for the Machine Learning Interview: Ensemble Techniques:Stacking, also known as stacked generalization, is an advanced ensemble technique in machine learning. It involves combining the…Nov 17, 2023Nov 17, 2023
İlyurek Kılıç#10 Let’s Prepare for the Machine Learning Interview: Naive Bayes ClassifierThe Naive Bayes classifier is a simple and probabilistic machine learning algorithm used for classification tasks, particularly in text…Nov 13, 2023Nov 13, 2023