<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Classroom Conversation on Blogs by Kush</title><link>https://blogsbykush.com/tags/classroom-conversation/</link><description>Recent content in Classroom Conversation on Blogs by Kush</description><image><title>Blogs by Kush</title><url>https://blogsbykush.com/assets/images/og-default.png</url><link>https://blogsbykush.com/assets/images/og-default.png</link></image><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 04 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blogsbykush.com/tags/classroom-conversation/feed.xml" rel="self" type="application/rss+xml"/><item><title>How LLMs Think</title><link>https://blogsbykush.com/concept-breakdown/how-llms-think/</link><pubDate>Sun, 04 Oct 2026 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/how-llms-think/</guid><description>How do LLMs like ChatGPT think? A comic breakdown using Antakshari to explain next-token prediction, simply, for product people.</description></item><item><title>Statistics in ML</title><link>https://blogsbykush.com/concept-breakdown/statistics-in-ml/</link><pubDate>Tue, 16 Sep 2025 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/statistics-in-ml/</guid><description>Machine Learning is just Statistics on steroids with a fancy computer doing the heavy lifting</description></item><item><title>What is Clustering</title><link>https://blogsbykush.com/concept-breakdown/what-is-clustering/</link><pubDate>Mon, 01 Sep 2025 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-clustering/</guid><description>Discover the essentials of Clustering in a classroom comic. Clustering - where data points find their natural friend groups!</description></item><item><title>What is Bias and Variance</title><link>https://blogsbykush.com/concept-breakdown/what-is-bias-and-variance/</link><pubDate>Sat, 16 Aug 2025 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-bias-and-variance/</guid><description>Discover the essentials of Bias &amp;amp; Variance in a classroom comic. Good predictions need to be both accurate (hit the target) and consistent (hit the same spot)!</description></item><item><title>What is Regularization</title><link>https://blogsbykush.com/concept-breakdown/what-is-regularization/</link><pubDate>Thu, 14 Aug 2025 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-regularization/</guid><description>Discover the essentials of Regularization in a classroom comic.</description></item><item><title>What is Feature Engineering</title><link>https://blogsbykush.com/concept-breakdown/what-is-feature-engineering/</link><pubDate>Sun, 09 Jun 2024 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-feature-engineering/</guid><description>Discover the essentials of Feature Engineering in a classroom comic. Learn how to convert raw data into meaningful features to boost your machine learning models&amp;#39; performance. Explore our detailed comic strip for a simplified and engaging explanation.</description></item><item><title>What is Gradient Descent</title><link>https://blogsbykush.com/concept-breakdown/what-is-gradient-descent/</link><pubDate>Fri, 15 Dec 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-gradient-descent/</guid><description>Discover the significance of Gradient Descent in machine learning through an engaging conversation between a student and teacher in our Concept Breakdown series. Unravel the complexities of model optimization, as the teacher employs a relatable mountain analogy. Explore the world of machine learning with accessible explanations and a touch of humor on our website.</description></item><item><title>What is Hyperparameters</title><link>https://blogsbykush.com/concept-breakdown/what-is-hyperparameters/</link><pubDate>Wed, 29 Nov 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-hyperparameters/</guid><description>Dive into the Concept Breakdown series conversation on hyperparameters in machine learning. Learn how user-defined settings impact model performance and generalization. Discover a relatable analogy comparing hyperparameters to cooking instructions. Join us for accessible insights into the world of machine learning.</description></item><item><title>What is Cross Validation</title><link>https://blogsbykush.com/concept-breakdown/what-is-cross-validation/</link><pubDate>Sat, 28 Oct 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-cross-validation/</guid><description>Learn about cross-validation in machine learning through a fun and relatable analogy. Dive into a conversation between a student and a teacher as they break down this complex concept into easily understandable terms, using the world of stand-up comedy as a guide. Simplify cross-validation and grasp its importance in model performance assessment</description></item><item><title>What is Computer Vision</title><link>https://blogsbykush.com/concept-breakdown/what-is-cv/</link><pubDate>Thu, 21 Sep 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-cv/</guid><description>Demystify Computer Vision with our Concept Breakdown series. Understand how it enables computers to interpret visual data, with an analogy that makes it easy to grasp. Dive into practical applications, including Facial Recognition and Self-Driving Cars. Join us in simplifying the world of Machine Learning!</description></item><item><title>What is Natural Language Processing</title><link>https://blogsbykush.com/concept-breakdown/what-is-nlp/</link><pubDate>Sat, 16 Sep 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-nlp/</guid><description>Learn about Natural Language Processing (NLP) in simple terms. Discover how computers understand human language, with relatable examples like Chatbots and Voice Assistants. Explore the analogy of preschool teachers bridging language gaps.</description></item><item><title>What is Recommender system</title><link>https://blogsbykush.com/concept-breakdown/what-is-recommender-system/</link><pubDate>Tue, 29 Aug 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-recommender-system/</guid><description>Explore the concept of recommender systems through a student-teacher dialogue. Learn how these systems use machine learning to suggest items based on user preferences, and discover their real-world impact, including a popular example from Netflix. The conversation uses a relatable analogy to explain the idea simply. Dive into this engaging exchange on the power of recommendation technology.</description></item><item><title>What is Transfer Learning</title><link>https://blogsbykush.com/concept-breakdown/what-is-transferlearning/</link><pubDate>Mon, 17 Jul 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-transferlearning/</guid><description>Learn about transfer learning, a technique in machine learning that reuses knowledge from one problem to improve performance on related problems. Explore real-world examples and a relatable analogy to understand the concept easily.</description></item><item><title>What is Deep Learning and Neural Network</title><link>https://blogsbykush.com/concept-breakdown/what-is-deeplearning-and-neuralnetwork/</link><pubDate>Wed, 05 Jul 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-deeplearning-and-neuralnetwork/</guid><description>Uncover the power of deep learning and neural networks in this engaging conversation between a teacher and a student. Learn about deep learning&amp;#39;s ability to understand complex patterns through deep neural networks. Explore the concept of neural networks, inspired by the human brain, and how they process information and make predictions. Discover the analogy of working in a team and the game of Chinese Whispers to grasp these concepts better. Dive into the fascinating world of deep learning and neural networks today</description></item><item><title>Types of Machine Learning</title><link>https://blogsbykush.com/concept-breakdown/type-of-machine-learning/</link><pubDate>Sat, 24 Jun 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/type-of-machine-learning/</guid><description>Dive into the conversation about different types of Machine Learning, including supervised learning, unsupervised learning, and reinforcement learning. Understand the concepts through simple examples and analogies, such as teaching a toddler to sort shapes, organizing toys without specific instructions, and teaching good manners. Gain a clear understanding of each type and their respective characteristics</description></item><item><title>What is Machine Learning</title><link>https://blogsbykush.com/concept-breakdown/what-is-machine-learning/</link><pubDate>Fri, 09 Jun 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-machine-learning/</guid><description>Explore a conversation between a teacher and student as they delve into the world of Machine Learning. Discover how computers can learn and make decisions without explicit programming, and learn about real-life applications such as personalized recommendations on platforms like Netflix and Spotify. Gain a simplified understanding of Machine Learning and its resemblance to how our brains learn from experiences</description></item><item><title>Evaluation Metrics</title><link>https://blogsbykush.com/concept-breakdown/evaluation-metrics/</link><pubDate>Sun, 21 May 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/evaluation-metrics/</guid><description>Understand the concept of evaluation metrics in machine learning through this classroom conversation. Discover how evaluation metrics serve as a report card for measuring the performance of machine learning models. Explore commonly used metrics like accuracy, precision, and recall, and grasp their meanings in simpler terms with the help of an analogy involving sorting crayons. Gain a clear understanding of how these metrics assess different aspects of model performance</description></item><item><title>Data Leakage</title><link>https://blogsbykush.com/concept-breakdown/data-leakage/</link><pubDate>Sun, 14 May 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/data-leakage/</guid><description>Understand the concept of data leakage and its challenges through this classroom conversation. Explore how data leakage can negatively impact the performance of machine learning models. Learn about the importance of preventing data leakage and its connection to overfitting. Gain a clearer understanding of this concept with a relatable analogy involving studying for a test based on specific information</description></item><item><title>Class Imbalance</title><link>https://blogsbykush.com/concept-breakdown/class-imbalance/</link><pubDate>Thu, 11 May 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/class-imbalance/</guid><description>Understand the concept of class imbalance in machine learning and learn how to address it effectively. Discover the challenges posed by class imbalance and explore two common techniques to tackle it: undersampling and oversampling. Gain a clearer understanding of these methods through a relatable analogy involving making teams with friends.</description></item><item><title>Overfitting Vs Underfitting</title><link>https://blogsbykush.com/concept-breakdown/overfitting-and-underfitting/</link><pubDate>Sun, 02 Apr 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/overfitting-and-underfitting/</guid><description>Understand the concepts of overfitting and underfitting in machine learning models. Overfitting occurs when a model fits the training data too closely and fails to generalize, while underfitting happens when a model is too simple and unable to capture important patterns. Learn these concepts through relatable analogies involving unexpected traffic jams and unprepared multiple-choice exams.</description></item><item><title>Models - What are they</title><link>https://blogsbykush.com/concept-breakdown/what-is-model/</link><pubDate>Sun, 19 Mar 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/concept-breakdown/what-is-model/</guid><description>Understand the concept of a model in machine learning through a classroom discussion. A model is described as an abstract representation that uses known information to predict responses. A relatable analogy of a robot learning to recognize apples from pictures is used to explain the concept. The discussion also highlights how our minds use mental models to guide decision-making</description></item></channel></rss>