5 Python Packages for Effortless EDA
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. These packages would help boost your workflow Photo by KOBU Agency on Unsplash Data exploration is the heart of many data activities. Before any analysis, you need to know your data better. Maybe …
Navigating the Legal Landscape of AI in Healthcare
Author(s): Andrew Austin Originally published on Towards AI. Laws, Policies & Principles for AI Use This is part of a 10-part series about the Ethics and Governance of Artificial Intelligence for Health that was created by the World Health Organization. How the …
Machine Learning in a Non-Euclidean Space
Author(s): Mastafa Foufa Originally published on Towards AI. Chapter II. How to get an intuition about hyperbolic geometry and when to use it in your Data Science projects? Photo by Mae Mu on Unsplash 1. There are different examples of non-Euclidean geometry, …
ChatGPT Unmasked: How AI-Generated Content Can Be Detected
Author(s): Edoardo Bianchi Originally published on Towards AI. There are several ways to spot people using ChatGPT for writing Image by the author. ChatGPT has emerged as a leading language model that is changing the way people create and consume content. Its …
Forecast the Future in a Timeseries Data With Deep Java Library (DJL)
Author(s): Kexin Feng Originally published on Towards AI. A demonstration of the M5forecasting dataset Authors: Junyuan Zhang, Kexin Feng Time-series data are everywhere in the real world, e.g., the price change of assets in a market, the sales of commodities, the number …
Microsoft Open Sources LMOps: A New Research Initiative to Enable Applications Development with Foundation Models, Part II
Author(s): Jesus Rodriguez Originally published on Towards AI. A collection of research papers and open-source toolkits to streamline core building blocks of application development with foundation models. Image Credit: https://www.protocol.com/enterprise/foundation-models-ai-standards-stanford I recently started an AI-focused educational newsletter, that already has over 150,000 …
The Non-Convexity Debate in Machine Learning
Author(s): Towards AI Editorial Team Originally published on Towards AI. Unpacking Mean Squared Error’s Impact on Logistic Regression Photo by DeepMind on Unsplash Author(s): Pratik Shukla “If you can’t, you must. If you must, you can.” — Tony Robbins Table of Contents: …
“AutoML, NAS and Hyperparameter Tuning: Navigating the Landscape of Machine Learning Automation”
Author(s): Arjun Ghosh Originally published on Towards AI. “AutoML is one of the hottest topics in the field of artificial intelligence, with the potential to democratize machine learning and make it more accessible to non-experts.” — Andrew Ng, Co-founder of Google Brain …
A.I. is ALREADY Replacing Jobs in the US
Author(s): Aditya Anil Originally published on Towards AI. A new survey shows that AI is ALREADY being employed by many business leaders based in the US. Image generated via Stable Diffusion I’m not sure if you’ve heard, but AI is taking away …
5 Paradoxes in Statistics Every Data Scientist Should be Familiar With
Author(s): Simranjeet Singh Originally published on Towards AI. Top highlight Introduction Statistics is an essential part of data science, and it provides us with various tools and techniques to analyze and understand data. However, sometimes statistical results can be counterintuitive or even …
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