Voting Ensembles in Machine Learning: Making Predictions Stronger Together
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re part of a group trying to make an important decision. Some members have more experience in certain areas, while others …
Decision Trees Explained: How They Work and When to Use Them
Author(s): Harsh Chourasia Originally published on Towards AI. The Ultimate Guide to Making Smarter Data Decisions This member-only story is on us. Upgrade to access all of Medium. Photo by Nicole Wolf on Unsplash Today we will talk about Decision Trees, a …
A Data Scientist’s Guide to Ensemble Learning: Techniques, Benefits, and Code
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re trying to guess how many jelly beans are in a jar. You ask five people individually, and their answers vary …
Cleaning Data With AI Denoisers
Author(s): Ori Cohen Originally published on Towards AI. A short literature review This member-only story is on us. Upgrade to access all of Medium. Vibrant digital waves and particles symbolizing the denoising process. AI denoisers are advanced algorithms designed to reduce noise …
The Ultimate Beginner to Advance guide to Machine learning
Author(s): Umer Originally published on Towards AI. You probably clicked on this story because you wanted to learn machine learning but couldn't find a way to get started. Photo by Goran Ivos on Unsplash Six months ago, I was in your shoes. …
Understanding Gradient Boosting for Classification: A Practical Approach
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re tasked with predicting whether students with varying CGPA and IQ levels get placed in a job or not. Now, you’ve …
Programming a Neural Network Tutorial: Backward Propagation
Author(s): Adam Ross Nelson Originally published on Towards AI. Densely connected artificial neural network learning processes This member-only story is on us. Upgrade to access all of Medium. To fully understand the theory of how neural networks learn you have to have …
Understanding the Math Behind Gradient Boosting: A Step-by-Step Guide
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re trying to predict housing prices based on various factors, such as location, size, or the number of bedrooms. The challenge? …
Customer Segmentation and Time Series Forecasting Based on Sales Data #2/3
Author(s): Naveen Malla Originally published on Towards AI. Customer Segmentation and Time Series Forecasting Based on Sales Data #2/3 This is the second article in a 3-part series. In the first part, I covered some initial data analysis steps you can take …
How Self-Correction in Large Language Models(LLMs) Can Be Improved
Author(s): Richard Warepam Originally published on Towards AI. A Deep Dive into “SCoRe” (From a Research Paper That I Liked, from September 2024) This member-only story is on us. Upgrade to access all of Medium. We are aware that in recent times, …
Gradient Boosting Explained: Turning Mistakes Into Precision
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re a teacher, and you’re trying to predict the future salaries of your students based on two factors: their IQ and …
Bayesian Methods: From Theory to Real-World Applications
Author(s): Shenggang Li Originally published on Towards AI. A Practical Guide to Using Bayesian Techniques in A/B Testing and Uplift Modeling This member-only story is on us. Upgrade to access all of Medium. Photo by Mike Hindle on Unsplash The Bayesian approach …
Getting to Know AutoGen(Part2): How AI Agents Work Together
Author(s): Anushka sonawane Originally published on Towards AI. Credits In Part 1, we went over the basics — what AI agents are, how they work, and why having multiple agents can really make a difference. That was just an introduction, setting the …
Understanding Convolution
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by David Becker on Unsplash To better understand what convolution is, it is needful to know why dense neural networks (DNN) don’t work well for images. If you trained a DNN and a …
5 Surprising Use Cases Where AI Fails — Avoid Using LLM Here!
Author(s): Kamran Khan Originally published on Towards AI. 5 Areas Where AI Falls Short This member-only story is on us. Upgrade to access all of Medium. Photo by BoliviaInteligente on Unsplash AI, specifically big language models (LLMs), has changed how we interact …
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