How To Use Vector Search To Quickly Build A Content-Based Filtering Recommender System
Author(s): ___ Originally published on Towards AI. Qualitative Evaluation Visualizing some results (all movie posters are from imdb) In this article, I will share how a vector search engine like weaviate can be used to quickly build a content-based filtering recommender system. …
AI Systems: Unearthed Bias and the Compelling Quest for True Fairness
Author(s): João Areias Originally published on Towards AI. And how we can prevent the automation of prejudice Source: Bing Image Creator Artificial Intelligence (AI) is no longer a futuristic concept — it has become an intrinsic part of our lives. It’s hard …
Unlocking the Black Box: A Comparative Study of Explainable AI Techniques: PDP vs. ALE and, SHAP vs. Breakdown
Author(s): Varsha Singh Originally published on Towards AI. Let us get a grip on the inner working of a few popular XAI Techniques with Easy-to-Understand Explanations. Photo by fabio on Unsplash As a data scientist, understanding the inner workings of our models …
9 Blunders to Avoid in Your Next Data Science Interview
Author(s): Anmol Tomar Originally published on Towards AI. Increase your chances of cracking the Data Science Interview. Data science interviews can be a nerve-wracking experience, but with proper preparation, you can increase your chances of success. However, even the most well-prepared candidates …
Google’s Chain of Thought Prompting is One of the Most Exciting Techniques in Generative AI
Author(s): Jesus Rodriguez Originally published on Towards AI. The technique is likely to be one of the hallmarks of the LaMDA model. Created with Midjourney I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS …
5 Python Packages for Effortless EDA
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. These packages would help boost your workflow Photo by KOBU Agency on Unsplash Data exploration is the heart of many data activities. Before any analysis, you need to know your data better. Maybe …
Navigating the Legal Landscape of AI in Healthcare
Author(s): Andrew Austin Originally published on Towards AI. Laws, Policies & Principles for AI Use This is part of a 10-part series about the Ethics and Governance of Artificial Intelligence for Health that was created by the World Health Organization. How the …
A Beginner-Friendly Guide to Understanding Policy Gradient
Author(s): Renu Khandelwal Originally published on Towards AI. A Simple Explanation of Policy Gradient for Reinforcement Learning with very little Math Your goal is to teach a simulated robot to move forward using Reinforcement Learning(RL). https://gymnasium.farama.org/environments/mujoco/walker2d/ A simulated robot must explore the …
Paper Review: Multimodal Chain of Thought Reasoning
Author(s): Building Blocks Originally published on Towards AI. Language Models improve with Visual Features One of the cool emergent features of Large Language Models (LLMs) is their ability to perform better on reasoning tasks such as arithmetic problems, common sense reasoning, etc., …
Supercharge Your Data Engineering Skills with This Machine Learning Pipeline
Author(s): ????Mike Shakhomirov Originally published on Towards AI. Data modeling, Python, DAGs, Big Data file formats, costs… It covers everything Photo by Peter Olexa on Unsplash This is a real-life scenario when I was tasked to create a highly scalable machine learning …
8 Top Strategies for ChatGPT’s Assistance in your ML Workflow
Author(s): Ana Bildea Originally published on Towards AI. ChatGPT for Data Scientists and ML Engineers: Hands-On Examples image by the Author generated with Dall-E If you’re looking to simplify some of the more tedious tasks in your daily routine, ChatGPT could be …
How to Maximize ML Project Success with Efficient Scoping? | MLOps 5
Author(s): Akhil Theerthala Originally published on Towards AI. How to Maximize ML Project Success with Efficient Scoping? U+007C MLOps 5 In our past articles of this series, we have seen many things. We started our journey by looking at the lifecycle of …
In-Context Learning with Transformer-Based Neural Sequence Models.
Author(s): Jair Ribeiro Originally published on Towards AI. Uncovering the Implicit Implementation of Standard Learning Algorithms in Neural Sequence Models. During my Sunday reading this week, I found this research paper which explores the hypothesis that transformer-based neural sequence models can implicitly …
Machine Learning in a Non-Euclidean Space
Author(s): Mastafa Foufa Originally published on Towards AI. Chapter II. How to get an intuition about hyperbolic geometry and when to use it in your Data Science projects? Photo by Mae Mu on Unsplash 1. There are different examples of non-Euclidean geometry, …
How To Use The LazyPredict Python Library To Select The Best Machine Learning Model In One Line
Author(s): Serafeim Loukas, PhD Originally published on Towards AI. More details Photo by Andrea De Santis on Unsplash. Lazypredict is a cutting-edge Python library that revolutionizes the process of building machine-learning models. With Lazypredict, we can easily build a wide range of …
Recent Posts
