Modeling Archives

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Modeling

How Do AI Content Detectors Work?

Generative AI Modelingposted by Zac Amos November 20, 2023

AI content is everywhere. ChatGPT’s explosion in popularity has created a surge in AI-generated blogs, articles, emails, resumes, and academic papers. Naturally, AI content detectors have grown in response. Many schools and publications have used AI-driven plagiarism checkers for years. Now that it’s easier for people... Read more

AI-Powered Natural Language Queries for Knowledge Discovery

Modeling NLP/Text Analyticsposted by ODSC Community November 20, 2023

In this article, I wanted to share a proof of concept project I’ve been working on called UE5_documentalist. It’s an exciting project that uses Natural Language Processing (NLP) to potentially enhance your experience with massive documentation. While I worked on the Unreal Engine 5 documentation for... Read more

The Importance of Implementing Explainable AI in Healthcare

Modelingposted by Zac Amos November 13, 2023

Healthcare systems are implementing AI, and patients and clinicians want to know how it works in detail. Explainable AI might be the solution everyone needs to develop a healthier, more trusting relationship with technology while expediting essential medical care in a highly demanding world. What Is... Read more

Top 10 Pre-Trained Models for Image Embedding Every Data Scientist Should Know

Modelingposted by ODSC Community November 10, 2023

The rapid developments in Computer Vision — image classification use cases have been further accelerated by the advent of transfer learning. It takes a lot of computational resources and time to train a computer vision neural network model on a large dataset of images. Luckily, this... Read more

Organizational Processes for Machine Learning Risk Management

Machine Learning Modelingposted by Parul Pandey November 9, 2023

In our ongoing series on Machine Learning Risk Management, we’ve embarked on a journey to unravel the critical elements that ensure the trustworthiness of Machine Learning (ML) systems. In our first installment, we delved into “Cultural Competencies for Machine Learning Risk Management,” exploring the human dimensions... Read more

RAG vs Finetuning — Which is the Best Tool to Boost Your LLM Application?

Modeling NLP/Text Analyticsposted by ODSC Community November 8, 2023

As the wave of interest in Large Language Models (LLMs) surges, many developers and organisations are busy building applications harnessing their power. However, when the pre-trained LLMs out of the box don’t perform as expected or hoped, the question on how to improve the performance of... Read more

Conditional Probability and Bayes’ Theorem Simply Explained

Modelingposted by ODSC Community November 7, 2023

Conditional probability and Bayes’ theorem are fundamental ideas in statistics that even laymen have heard of. Bayes’ theorem also gives rise to a separate branch of statistics, namely Bayesian inference. In Data Science we mainly deal and work in a Frequentist world and so we are, in my opinion,... Read more

Evaluating Clustering in Machine Learning

Machine Learning Modelingposted by ODSC Community November 6, 2023

Clustering has always been one of those topics that garnered my attention. Especially when I was first getting into the whole sphere of machine learning, unsupervised clustering always carried an allure with it for me. To put it simply, clustering is rather like the unsung knight... Read more

Python Timestamp: Converting and Formatting Essentials for Beginners

Modelingposted by Dario Radečić November 3, 2023

Do you know what’s the number one thing Junior and Senior Developers have in common? They both don’t know how to work with dates without referencing the manual. It’s just one thing that’s too difficult to remember for some reason. Well, not anymore! Python Timestamp plays... Read more

Data Engineering vs Machine Learning Pipelines

Machine Learning Modelingposted by ODSC Community November 2, 2023

Data engineering and machine learning pipelines are both very different but oddly can feel very similar. Many ML engineers I have talked to in the past rely on tools like Airflow to deploy their batch models. So I wanted to discuss the difference between data engineering... Read more