From Zero to Hero: How AutoGen is Reshaping LLM
Author(s): Gao Dalie (高達烈) Originally published on Towards AI. Autogen Microsoft is a project by Microsoft that allows you to create as many autonomous agents as you want and have them work together to do things. It’s a framework that allows agents, …
Decoding Statistical Significance: A Marketer’s Guide
Author(s): Deepak Chopra | Talking Data Science Originally published on Towards AI. Marketing Measurement-3: A layman’s guide to understand statistical significance while measuring marketing effectiveness. Top highlight Photo by Anton on Unsplash Have you ever wondered how marketers determine the effectiveness of …
Fully Explained Softmax Regression for Multi-Class Label with Python
Author(s): Amit Chauhan Originally published on Towards AI. Supervised multi-class classification in machine learningPhoto by James Harrison on Unsplash Introduction In the logistic regression, we deal with binary class i.e., two classes in the output columns. However, in the real world, we …
Unlocking the Mysteries of Diffusion Models: An In-Depth Exploration
Author(s): Youssef Hosni Originally published on Towards AI. Understanding the Basics Behind Most Powerful Image Generation Models Midjourney, Stable Diffusion, DALL-E, and others are able to generate an image, sometimes a beautiful image, given only a text prompt. You may have heard …
Facebook’s Billion-Scale Search Algorithm Repurposed to Efficiently Navigate Proteomic Data
Author(s): LucianoSphere Originally published on Towards AI. Photo by Julia Koblitz on Unsplash A new paper presents Spectroscape, a new method and web-based tool created to address the challenges in proteomics data management and exploration. Modern MS experiments for proteomics produce vast …
Mastering Deep Learning: The Art of Approximating Non-Linearities with Piecewise Estimations Part-2
Author(s): Raagulbharatwaj K Originally published on Towards AI. Greetings, everyone! Welcome to the second installment of my Mastering Deep Learning series. This article serves as a continuation of the first part, titled The Art of Approximating Non-Linearities with Piecewise Estimations Part-1. In …
A Benchmark Dataset for AI Weather Models
Author(s): Caroline Arnold Originally published on Towards AI. Compare data-driven weather models with WeatherBenchPhoto by NOAA on Unsplash Benchmark datasets are fundamental for machine learning research. They are standardized datasets that are easy to obtain, pre-processed, and cleaned, making them ideal for …
Apple M1 and M2 Performance for Training SSL Models
Author(s): Igor Susmelj Originally published on Towards AI. We want to know how fast Apple M1 and M2 chips are for training self-supervised learning models. The number of benchmarks for training ML models using the new Apple chips is still low. Furthermore, …
Cleaning + Preparing Minnesota Lakes Data
Author(s): Adam Ross Nelson Originally published on Towards AI. How to tidy up Wikipedia’s list of Minnesota’s lakes While driving the other day I saw a pretty view of the lake in my hometown. It is known as Lake Menomin. I took …
Introduction to Machine Learning: Exploring Its Many Forms
Author(s): RaviTeja G Originally published on Towards AI. Image Generated by ideogram.ai These days, Machine Learning is everywhere, right? If you are here, You might have gotten curious as to what exactly machine learning is! So, Let me explain it in simple …
Inventory Optimization with Data Science: Hands-On Tutorial with Python
Author(s): Peyman Kor Originally published on Towards AI. Intro Effective inventory management is important for businesses across various industries. In the previous blog, we explored how to model the process and how to frame it with the Markov Process. The below illustration …
Exploring Julia Programming Language: Integration Test
Author(s): Jose D. Hernandez-Betancur Originally published on Towards AI. Validating software components as a system in JuliaImage by Author. Hello everyone U+1F44B, and welcome back to our series on using the computer language Julia to build machine learning and data science projects …
3 Game-Changing Techniques to Harness Unlabelled Data in Machine Learning
Author(s): Sai Viswanth Originally published on Towards AI. Annotation can be very very expensivePhoto by Pietro Jeng on Unsplash Are you embarking on the journey to becoming a Machine Learning Engineer or simply a passionate learner eager to extract insights from the …
Top Important LLM Papers for the Week from 2/10 to 8/10
Author(s): Youssef Hosni Originally published on Towards AI. Stay Relevant to Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, it’s important for researchers and engineers to stay informed …
The Good, The Bad, and the Ugly of pd.read_html
Author(s): Adam Ross Nelson Originally published on Towards AI. This is for the uninitiated pd.read_html fanbase Saddle up. U+1F434 It is time for another Good, Bad, + Ugly look at Data Science. Not already a fan of pd.read_html() or the cousin pd.to_html() …
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