<?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>Posts on Blogs by Kush</title><link>https://blogsbykush.com/posts/</link><description>Recent content in Posts 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/posts/feed.xml" rel="self" type="application/rss+xml"/><item><title>Digital Dhaba: how I built an AI-written tech newsletter that can't make up news</title><link>https://blogsbykush.com/build-log/digital-dhaba-ai-newsletter-that-cannot-make-up-news/</link><pubDate>Sun, 04 Oct 2026 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/build-log/digital-dhaba-ai-newsletter-that-cannot-make-up-news/</guid><description>How I built Digital Dhaba, a weekly AI and tech newsletter: code gathers and ranks stories, Claude writes only from them, and every item links to its source.</description></item><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>Training an AI for one skill quietly changes its other answers</title><link>https://blogsbykush.com/learning-notes/training-an-ai-for-one-skill-changes-its-other-answers/</link><pubDate>Sun, 04 Oct 2026 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/learning-notes/training-an-ai-for-one-skill-changes-its-other-answers/</guid><description>A learning note on the paper &amp;#39;Post-Training Leaves Behavioral Shadows on Unrelated Decisions&amp;#39;: training an AI for one skill shifts its other answers too.</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>Why AWS Lambda with DVC is not a best choice for Data Versioning Pipeline</title><link>https://blogsbykush.com/mlops/why-dvc-not-best-choice-with-awslambda-for-dataversioning/</link><pubDate>Mon, 17 Jun 2024 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/mlops/why-dvc-not-best-choice-with-awslambda-for-dataversioning/</guid><description>Explore the complexities and challenges faced while implementing a data versioning pipeline with AWS Lambda and DVC. Learn from real-world experiences and avoid common pitfalls in your own cloud-based data versioning projects.</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>Psychology of Money - My Perspective and Key Takeaways</title><link>https://blogsbykush.com/bookshelf/psychology-of-money-bookshelf/</link><pubDate>Mon, 20 May 2024 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/bookshelf/psychology-of-money-bookshelf/</guid><description>A comprehensive review of &amp;#39;The Psychology of Money&amp;#39; by Morgan Housel, highlighting key lessons and personal insights on money management and financial behavior.</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 the most effective way to learn Machine Learning</title><link>https://blogsbykush.com/what-is-the-most-effective-way-to-learn-ml/</link><pubDate>Sun, 29 Oct 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/what-is-the-most-effective-way-to-learn-ml/</guid><description>Explore the learning journey of a beginner in machine learning, from starting with online courses to gaining confidence through Kaggle competitions, engaging in real-world projects, and pursuing certifications. Discover how hands-on experience and documentation can be valuable for newcomers in this dynamic field.</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>AWS SageMaker - Empowering Your ML Lifecycle</title><link>https://blogsbykush.com/mlops/sagemaker-empowering-your-ml-lifecycle/</link><pubDate>Thu, 22 Jun 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/mlops/sagemaker-empowering-your-ml-lifecycle/</guid><description>Explore the powerful features and use cases of AWS SageMaker in this comprehensive blog post. Learn how SageMaker streamlines the process of building, training, and deploying machine learning models, reducing the time to production. Discover its notable features, including infrastructure/resource management, experiment management, the SageMaker Python SDK, and more. Gain insights into the cost and learning curve of using SageMaker, and compare it with competitors like Google Cloud Datalab and Microsoft Azure Machine Learning Studio</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>Atomic Habits - My Perspective and Key Takeaways from James Clear's Book</title><link>https://blogsbykush.com/bookshelf/atomic-habits-bookshelf/</link><pubDate>Wed, 05 Apr 2023 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/bookshelf/atomic-habits-bookshelf/</guid><description>Unlock the valuable lessons from Atomic Habits by James Clear. Understand the power of small changes and habit formation to achieve remarkable results. Learn about the science behind habits, the habit loop, and the four laws of behavior change. Discover practical strategies to make habits obvious, attractive, easy, and satisfying, and improve your daily routine. Enhance your health, productivity, and relationships with this actionable guide for lasting positive change</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><item><title>How I Prepared for AWS ML Specialty Certification</title><link>https://blogsbykush.com/how-i-prepared-for-aws-ml-specialty-certification/</link><pubDate>Mon, 02 Aug 2021 10:19:25 +0530</pubDate><guid>https://blogsbykush.com/how-i-prepared-for-aws-ml-specialty-certification/</guid><description>Learn about the objective and preparation strategy for clearing the AWS Certified Machine Learning Specialty Exam. Explore the structure of the exam, its domains, and the importance of real-time experience. Discover the online resources, courses, and practice exams used for preparation. Gain insights into tips and techniques for the real exam. Get advice on preparing notes and staying organized throughout the learning process. Achieve success in the AWS Certified Machine Learning Specialty Exam with this comprehensive guide</description></item><item><title>COVID-19-Insights with Data Visualization</title><link>https://blogsbykush.com/covid19-insights-data-visualization/</link><pubDate>Mon, 30 Mar 2020 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/covid19-insights-data-visualization/</guid><description>Discover insights from the COVID-19 data in this informative post. The author analyzes the situations in China, South Korea, Italy, the USA, and India, using data visualization to highlight key trends in confirmed cases, active cases, recoveries, and deaths. Learn about the effectiveness of different countries&amp;#39; strategies in managing the pandemic and the crucial role of early action in mitigating its impact</description></item><item><title>Regression Test Case Selection Using ML</title><link>https://blogsbykush.com/regression-test-case-selection-using-ml/</link><pubDate>Fri, 13 Mar 2020 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/regression-test-case-selection-using-ml/</guid><description>In this blog post, we present a proof of concept (POC) for automating the selection of manual regression test cases using a Classification Learning model. By leveraging metadata and natural language descriptions of test cases, the model predicts the optimal test case selection for regression testing during software development. The post provides insights into data collection, preparation, and exploratory data analysis, demonstrating the importance of various features in determining test case selection. Discover how this approach can improve the efficiency and effectiveness of regression testing in software development.</description></item><item><title>Beginner's Guide to Exploratory Data Analysis and Feature Engineering</title><link>https://blogsbykush.com/guidefornewbie-eda-featureeng-modeling-evaluation/</link><pubDate>Wed, 29 Jan 2020 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/guidefornewbie-eda-featureeng-modeling-evaluation/</guid><description>Learn the basics of exploratory data analysis (EDA) and feature engineering using the Titanic disaster dataset. Understand the importance of EDA in data modeling and predictions. Analyze features such as age, gender, passenger class, fare, and embarked port through code snippets and visualizations. Discover correlations between variables and learn how to create new features. Enhance your understanding of EDA and its impact on data analysis and modeling</description></item></channel></rss>