Machine Learning: Python Linear Regression Estimator Using Gradient Descent
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Implementation Using Python Estimator In this article, we describe how a simple python estimator can be built to perform linear regression using the gradient descent method. Let’s assume we have a one-dimensional …
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Author(s): Roberto Iriondo Originally published on Towards AI. References: Top highlight December 19, 2018, by Roberto Iriondo — Updated May 5, 2020 Everyone despises CAPTCHAs (humans, since bots do not have emotions) — Those annoying images containing hard to read the text, …
The Machine Learning Process
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. The machine learning process includes 4 main stages: Illustrating the Machine Learning Process. Define your project goals. What do you want to find out? Do you have the data to analyze? This …
Combating Media Bias with AWS Amazon Comprehend
Author(s): Bence L. Tóth Originally published on Towards AI. Combating Media Bias with NLP U+007C Towards AI Photo by Randy Colas on Unsplash In the world of fake news and ideology-driven subjective media coverage, it is questionable which sources of journalism can …
Machine Learning: Dimensionality Reduction via Linear Discriminant Analysis
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. A machine learning algorithm (such as classification, clustering or regression) uses a training dataset to determine weight factors that can be applied to unseen data for predictive purposes. Before implementing a machine …
Where the randomness comes
Author(s): Jun Wang Originally published on Towards AI. Word Embedding and Language Modeling U+007C Towards AI How to Get Deterministic word2vec/doc2vec/paragraph Vectors OK, welcome to our Word Embedding Series. This post is the first story of the series. You may find this …
Machine Learning: Dimensionality Reduction via Principal Component Analysis
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. How does PCA work? In machine learning, a dataset containing features (predictors) and discrete class labels (for a classification problem such as logistic regression); or features and continuous outcomes (for a linear …
Build a Self-Driving Car in Carla Simulator with Python (Step-by-Step)
Author(s): Originally published on Towards AI. Source: Image by the author Autonomous vehicles are becoming increasingly common on our roads. Waymo has already surpassed Lyft in total rides in San Francisco and is rapidly approaching Uber. Hundreds of sensor-equipped cars can now …
Don’t Waste Your Time Building With MCP Until You’ve Read This
Author(s): Originally published on Towards AI. MCP launch todo list MCP looks like Elven magic — until it melts your time or your night. ☕ So in this post we’ll revisit the rant, fold in your latest tweaks, and ship the roadmap …
StateSort — Fastest Comparison Sort?
Author(s): Originally published on Towards AI. GET SORTED Publishing this article for my friend John Oberschelp, so when you see “I,” it is John. Contact John at john@oberschelp.net about StateSort and other minitue. StateSort is a stable comparison sort I developed that …
The Research Imperative: From Cognitive Offloading to Augmentation
Author(s): Originally published on Towards AI. Generative AI presents a fundamental choice: will we design and use it to augment our intellect, or will we allow it to foster cognitive atrophy? The We are in the middle of the largest, most uncontrolled …
From Descriptive to Predictive- Building an Aviation Dashboard in Power BI: Insights with DAX
Author(s): Originally published on Towards AI. Harnessing data to optimize airline performance during weather conditions Introduction Although machine learning models are capable of forecasting flight delays, their basis is a thorough comprehension of past trends. This manual concentrates on exploratory data analysis, …
A Hands-on Agentic RAG Design Example
Author(s): Originally published on Towards AI. GitHub – tomtang110/RAG_Agent_example: 🏀 A simple Agent RAG system for answering basketball player… 🏀 A simple Agent RAG system for answering basketball player questions, using retrieval-augmented generation with Qwen… github.com This article mainly uses a simulated …
Agentic Patterns: The Building Blocks of Reliable AI Agents
Author(s): Originally published on Towards AI. Photo by Eric Krull on Unsplash Over the last few months, I’ve been diving deep into the world of AI agents. And honestly, it feels like the field is moving at the same pace as when …
Document Summarization & QA in RAG without Frameworks (PyMuPDF & ChromaDB)
Author(s): Originally published on Towards AI. Photo by Arisa Chattasa on Unsplash Explore how RAG works under the hood by building a PDF summarization pipeline with PyMuPDF and ChromaDB — no frameworks needed. Table of Contents · Introduction· Overview of the Pipeline· …
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