Machine Learning

📌 Nine Rules for Running Rust on WASM WASI 🗂 Category: PROGRAMMING 🕒 Date: 2024-09-28 | ⏱️ Read time: 16 min read Practical Lessons from Porting range-set-blaze to this Container-Like Environment

📌 Model Deployment with FastAPI, Azure, and Docker 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-28 | ⏱️ Read time: 11 min read A Complete Guide to Serving a Machine Learning Model with FastAPI

📌 Exploring the Link between Sleep Disorders and Health Indicators 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-28 | ⏱️ Read time: 16 min read A Python analysis of a MIMIC-IV health data (DREAMT) to uncover insights into factors affecting…

📌 Hands-On Optimization Using Genetic Algorithms, with Python 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-29 | ⏱️ Read time: 15 min read Here’s a full guide on genetic algorithms, what they are, and how to use them

📌 How to Get Pull Request Data Using GitHub API 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-29 | ⏱️ Read time: 5 min read Getting the diff between any two commits

📌 What’s Inside a Neural Network? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-29 | ⏱️ Read time: 5 min read Plotting surface of error in 3D using PyTorch

📌 To Mask or Not to Mask: The Effect of Prompt Tokens on Instruction Tuning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-30 | ⏱️ Read time: 37 min read Implementing prompt-loss-weight, and why we should replace prompt-masking with prompt-weighting

📌 Eulerian Melodies: Graph Algorithms for Music Composition 🗂 Category: GRAPH THEORY 🕒 Date: 2025-09-28 | ⏱️ Read time: 15 min read Conceptual overview and an end-to-end Python implementation

🏳️‍🌈 Learning Python for science is ✅ with these 8 awesome GitHub repos! 🖥 Repo: Project Based Learning 💬 One of the most famous educational repos with 230K+ stars that implements various algorithms and projects using Python. ➖ ➖ ➖ 🖥 Repo: Real Python Materials 💬 Supplementary resources and exercises including project-based tutorials, guides, and practical exercises. ➖ ➖ ➖ 🖥 Repo: Learn By Doing 💬 Project-based tutorials in AI and machine learning for all levels. ➖ ➖ ➖ 🖥 Repo: Awesome Jupyter 💬 A curated collection of notebooks, tools, and powerful libraries for working with Jupyter. ➖ ➖ ➖ 🖥 Repo: Python Mini Projects 💬 A collection of mini-projects like games and small apps that you can quickly run and practice. ➖ ➖ ➖ 🖥 Repo: 100Projects of Code 💬 An educational challenge including 100 real projects; you practice and see your progress day by day. ➖ ➖ ➖ 🖥 Repo: Data Science Projects 💬 Practical ideas and examples to start data science with Python. ➖ ➖ ➖ 🖥 Repo: Python Project Scripts 💬 Small and large scripting projects, from beginner to advanced levels. By: https://t.me/CodeProgrammer ✈️

📌 The AI Developer’s Dilemma: Proprietary AI vs. Open Source Ecosystem 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-30 | ⏱️ Read time: 20 min read Fundamental Choices Impacting Integration and Deployment at Scale of GenAI into Businesses

📌 Evaluating Train-Test Split Strategies in Machine Learning: Beyond the Basics 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-30 | ⏱️ Read time: 6 min read Creating Appropriate Test Sets and Sleeping Soundly.

📌 Stein’s Paradox 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-30 | ⏱️ Read time: 8 min read Why the Sample Mean Isn’t Always the Best

📌 Is Less More? Do Deep Learning Forecasting Models Need Feature Reduction? 🗂 Category: ANALYTICS 🕒 Date: 2024-09-30 | ⏱️ Read time: 14 min read To curate, or not to curate, that is the question

📌 Exploring the World of Markov Chains: Unlocking the Power of Probabilistic Transitions 🗂 Category: PROBABILITY 🕒 Date: 2024-09-30 | ⏱️ Read time: 11 min read An Introduction to Markov Chains, their applications, and how to use Monte Carlo Simulations in…

📌 5 Must-Know Techniques for Mastering Time-Series Analysis 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-30 | ⏱️ Read time: 22 min read Elevate Your Machine Learning Forecasting with Accurate Data Splitting, Time-Series Cross-Validation, Feature Engineering, and More!

📌 Evaluating performance of LLM-based Applications 🗂 Category: 🕒 Date: 2024-09-30 | ⏱️ Read time: 9 min read Evaluation Framework for real-world requirements

📌 Can Transformers Solve Everything? 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-01 | ⏱️ Read time: 15 min read Looking into the math and the data reveals that transformers are both overused and underused.

📌 Support Vector Classifier, Explained: A Visual Guide with Mini 2D Dataset 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-01 | ⏱️ Read time: 17 min read Finding the best “line” to separate the classes? Yeah, sure…

📌 What I Learned in my First 9 Months as a Freelance Data Scientist 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-01 | ⏱️ Read time: 24 min read Observations and lessons learned from in the trenches

📌 Graph Neural Networks Part 1. Graph Convolutional Networks Explained 🗂 Category: 🕒 Date: 2024-10-01 | ⏱️ Read time: 12 min read Node classification with Graph Convolutional Networks