Clustering unveiled: The Intersection of Data Mining, Unsupervised Learning, and Machine Learning
Author(s): Anand Raj Originally published on Towards AI. Table of Contents Introduction K- Means Clustering Technique– Metrics for Clustering– K-means algorithm– Lloyd’s algorithm (approximation approach)– Initialization Sensitivity– K-means++ Initialization– Limitations of K-means– K-medoids with PAM algorithm– Determining the right K– Time and …
Understanding Why There Is No Such Thing as ‘Correct Probability’ in Data Science
Author(s): Peyman Kor Originally published on Towards AI. Probability Should be Conditioned on your Current State of Information Photo by Edge2Edge Media on Unsplash Intro In the field of data science, individuals frequently use the term “Probability”. However, a fundamental concept needs …
Learn AI Together — Towards AI Community Newsletter #8
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, fellow AI enthusiasts! We are kicking off this year’s podcast with a unique episode! In this one, I received my friend Jérémy Cohen, founder of Think Autonomous and expert in …
How to Tailor A Column Chart for Communication
Author(s): Angelica Lo Duca Originally published on Towards AI. Image by Author Drawing a column chart helps represent categories and values. However, a column chart is sometimes too overwhelming with useless content, and the audience may struggle to understand what it means. …
This AI newsletter is all you need #82
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, our eyes were on OpenAI’s GPT Store launch and Poe’s creator monetization program as companies begin to explore new ways for creators …
Learn AI Together — Towards AI Community Newsletter #7
Author(s): Towards AI Editorial Team Originally published on Towards AI. Welcome back to the community newsletter after a two-week break for the holidays! We are back with some cool news, interesting and helpful articles, and opportunities! Let’s get right into it. This …
Gradient Descent and the Melody of Optimization Algorithms
Author(s): Abhinav Kimothi Originally published on Towards AI. Source : Image generated using AI by Author If you work in the field of artificial intelligence, Gradient Descent is one of the first terms you’ll hear. It is the fundamental optimization algorithm used …
Data Reliability 101: A Practical Guide to Data Validation Using Pydantic in Data Science Projects
Author(s): Shivamshinde Originally published on Towards AI. This article will explain Why data validation is needed for the Python code, How it’s done using the Pydantic library, and How to integrate it into your data science projects. Photo by Anthony Bressy on …
Microsoft Phi-2: Tiny Mighty Open Source Model with Verbal Diarrhea
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. A new lightweight model for developing prototypes The Phi-2 model, developed by Microsoft, is a 2.7 billion-parameter language model that has recently gained attention in the field of natural language processing …
What’s In/Out for LLMs 2024: A new year’s guide for app developers
Author(s): Ollie Originally published on Towards AI. If the pace of AI innovation is anything like last year, we’re all in for a wild ride in 2024. Here is our guide for AI app developers to toss out the “old” way of …
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