AI

ENSEMBLE LEARNING Putting the weight where weak learners need it most Samy Baladram · Follow Published in Towards Data Science · 11 min read · 10 hours ago — Random Forest, Explained: A Visual Guide with Code Examples Making tree-mendous predictions with random trees towardsdatascience.com Everyone makes mistakes — even the simplest decision trees in machine learning. Instead of ignoring them, AdaBoost (Adaptive Boosting) algorithm does something different: it learns (or adapts) from these mistakes

A novel tractable and interpretable algorithm to learn from expert demonstrations Hussein Fellahi · Follow Published in Towards Data Science · 12 min read · 11 hours ago — Photo by Andrea De Santis on Unsplash Introduction Imitation Learning has recently gained increasing attention in the Machine Learning community, as it enables the transfer of expert knowledge to autonomous agents through observed behaviors. A first category of algorithm is Behavioral Cloning (BC), which aims to

The technical foundations for securing an entry level data analyst role Charles Mendelson · Follow Published in Towards Data Science · 8 min read · 12 hours ago — Photo by Jon Tyson on Unsplash TLDR; Spreadsheets (Excel) SQL Visualization tool (Tableu or Power BI) Scripting language (Python or R) Intro I am often asked by people trying to break into data what skills they need to learn to get their first job in Data,

A simple example of hill climbing — and solving a problem that’s difficult to solve without optimization techniques W Brett Kennedy · Follow Published in Towards Data Science · 15 min read · 15 hours ago — Betting on the World Series is an old, interesting, and challenging puzzle. It’s also a nice problem to demonstrate an optimization technique called hill climbing, which I’ll cover in this article. Hill climbing is a well-established, and relatively

Step by Step guide to a Rummy AI Iheb Rachdi · Follow Published in Towards Data Science · 10 min read · 12 hours ago — Image generated by the author using DALL-E Motivation As I was in the process of developing a reinforcement learning (RL) model for a Rummy game, I reached the stage where I needed an AI opponent to carry out the environment setup and contribute to the model training. However, after

I’ve been a data scientist for over 3 years. This is what most people want to know about the field. Haden Pelletier · Follow Published in Towards Data Science · 6 min read · 14 hours ago — Photo by Clay Banks on Unsplash What does a data scientist do? Most people are both impressed and confused when I tell them I’m a data scientist. Impressed because it’s considered such a fancy and prestigious title

A detailed look into the flaws of science’s favorite tool Cai Parry-Jones · Follow Published in Towards Data Science · 13 min read · 15 hours ago — source: unsplash.com Statistical significance is like the drive-thru of the research world. Roll up to the study, grab your “significance meal,” and boom — you’ve got a tasty conclusion to share with all your friends. And it isn’t just convenient for the reader, it makes researchers’ lives

An engineer’s journey to building LLM-native applications Satwiki De · Follow Published in Towards Data Science · 7 min read · 4 days ago — Large Language Models (LLMs) are poised to transform the way we approach AI and it is already being quite noticeable with innovative designs of integrating LLMs with web applications. Since late 2022, multiple frameworks, SDKs and tools have been introduced to demonstrate the integration of LLMs with web applications or

Key Takeaways from a First-Time Contestant David Teather · Follow Published in Towards Data Science · 14 min read · 1 day ago — Image created by the author, using Battlecode’s Engine I was dragged into Battlecode 2024 by one of our teammates. I had never heard of Battlecode before, but I was excited to try it out. I had a lot of fun and I’m glad I did it, and we ended up qualifying

Image by Author Keep a closer eye on your costs when using Claude Thomas Reid · Follow Published in Towards Data Science · 9 min read · 9 hours ago — Anthropic has released some exciting beta features in the last couple of days that have largely gone under the radar. One of these was the ability to process PDFs with their models, which can now understand both text and visual content within PDF documents.