Top Generative AI Tools Every Data Analyst Must Know
Author(s): Claire D. Costa Originally published on Towards AI. Transform data analysis with cutting-edge generative AI tools. This member-only story is on us. Upgrade to access all of Medium. Made by Author Generative AI tools are revolutionizing data analysis by enhancing speed …
Retrieval-Augmented Generation (RAG): LLMs with Real-Time Knowledge
Author(s): Shivam Mohan Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Artificial Intelligence (AI) constantly evolves, and Retrieval-Augmented Generation (RAG) is at the forefront of this revolution. By merging the text generation capabilities …
Causal Inference with Machine Learning: Why It Matters in Business Decision-Making
Author(s): Hajime Takeda Originally published on Towards AI. Understanding Traditional Approaches and the Rise of Causal Machine Learning TL; DR: Causal inference has traditionally been used in fields such as economics, health studies, and social sciences. In recent years, algorithms combining causal …
AI is Coming for Data Scientists: Are You Ready?
Author(s): Harsh Chourasia Originally published on Towards AI. Why AI May Soon Replace Data Scientists (And What You Should Do About It) This member-only story is on us. Upgrade to access all of Medium. Photo by Growtika on Unsplash In the quick-changing …
First Winners Emerge in the “Race” to Open-Source AlphaFold 3
Author(s): LucianoSphere (Luciano Abriata, PhD) Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. “A race of AI models to predict protein structures” as imagined by Dall-E-3 via ChatGPT. The development and release of …
Optimizing Airport Gate Assignments Using Multi Objective Reinforcement Learning (MORL) — Part 1
Author(s): Ranjith Menon Originally published on Towards AI. RL is the Gate-way to Airport Efficiency (pun intended) Ever found yourself sprinting across an airport to board a connecting flight? Or wandering endless corridors in search of your boarding gate? Efficient gate assignments …
Optimizing Supply Chain with Time Series Forecasting: A Customer-Centric Approach
Author(s): Shenggang Li Originally published on Towards AI. Using the Repurchase Predictive Model for Product Demand Forecasting This member-only story is on us. Upgrade to access all of Medium. Photo by iStrfry , Marcus on Unsplash In this paper, I explore a …
Why OpenAI’s o1 Model Is A Scam
Author(s): Artem Shelamanov Originally published on Towards AI. As a data scientist who has worked with LLMs since they were first introduced, I thought that when I heard about o1, it was a joke. When it turned out to be an actual, …
Demystifying PDF Parsing 05: Unifying Separate Tasks into a Small Model
Author(s): Florian June Originally published on Towards AI. Mechanics, Code, Insights on GOT, DLAFormer, and UNIT This member-only story is on us. Upgrade to access all of Medium. This article is the fifth in the series. The previous articles introduced several mainstream …
Regularization in Machine Learning: Mastering Ridge, Lasso, and Elastic Net
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. The story of regularization starts with a simple yet crucial problem that haunts many machine learning models: overfitting. Picture this — you’ve …
Are Diffusion Models Really Superior to GANs on Image Super Resolution?
Author(s): Valerii Startsev Originally published on Towards AI. Photo by Kasia Derenda on Unsplash Introduction For over half a decade (2014–2020), generative adversarial networks (GANs) dominated generative modeling, including image super-resolution (ISR). The introduced adversarial training framework (involving a competing generator and …
Meta Learners: Measuring Treatment Effects with Causal Machine Learning
Author(s): Hajime Takeda Originally published on Towards AI. TL;DR: In recent years, algorithms combining causal inference and machine learning have been a hot topic. In my previous article, I discussed the basics of Causal Machine Learning. This article aims to explain Meta …
Customer Segmentation and Time Series Forecasting Based on Sales Data #1/3
Author(s): Naveen Malla Originally published on Towards AI. Customer Segmentation and Time Series Forecasting Based on Sales Data #1/3 Hey, first things first. This blog is divided into a 3-part series where I am going to focus on three different aspects: Exploratory …
Advance Slicing And Indexing + Numpy Array Walkthrough
Author(s): Adam Ross Nelson Originally published on Towards AI. Exploring advanced slicing techniques with Numpy, skimage, + Python This member-only story is on us. Upgrade to access all of Medium. When working with NumPy arrays, mastering advanced slicing techniques can greatly enhance …
#41 OpenAI’s “innovation,” LLM Quantization, Feature Selection, and more!
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we are sharing lots of resources covering some developments in the AI landscape. Today’s articles cover everything from the speed issues with Open AI’s new model …
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