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Courage to Learn ML: Decoding Likelihood, MLE, and MAP | by Amy Ma | Dec, 2023

Data ScienceDecember 4, 2023210Views 0Likes 0Comments

With A Tail of Cat Food Preferences Photo by Anastasiia Rozumna on UnsplashWelcome to the ‘Courage to learn ML’. This series aims to simplify complex machine learning concepts, presenting them as a relaxed and informative dialogue, much like the engaging style of “The Courage to Be Disliked,” but with a focus on ML. In this…

Back to Basics Week 4: Advanced Topics and Deployment

Data AnalyticsDecember 3, 2023205Views 0Likes 0Comments

Image by Author Join KDnuggets with our Back to Basics pathway to get you kickstarted with a new career or a brush up on your data science skills. The Back to Basics pathway is split up into 4 weeks with a bonus week. We hope you can use these blogs as a course…

Breaking the Boundaries in 3D Scene Representation: How a New AI Technique is Changing the Game with Faster, More Efficient Rendering and Reduced Storage Demands

AI NewsDecember 3, 2023181Views 0Likes 0Comments

NeRF represents scenes as continuous 3D volumes. Instead of discrete 3D meshes or point clouds, it defines a function that calculates color and density values for any 3D point within the scene. By training the neural network on multiple scene images captured from different viewpoints, NeRF learns to generate consistent and accurate representations that align…

Exploring institutions for global AI governance

OpenAIDecember 3, 2023238Views 0Likes 0Comments

New white paper investigates models and functions of international institutions that could help manage opportunities and mitigate risks of advanced AI Growing awareness of the global impact of advanced artificial intelligence (AI) has inspired public discussions about the need for international governance structures to help manage opportunities and mitigate risks involved. Many discussions have drawn…

Researchers from NYU and Meta Introduce Dobb-E: An Open-Source and General Framework for Learning Household Robotic Manipulation

RoboticsDecember 3, 2023273Views 0Likes 0Comments

The team of researchers from NYU and Meta aimed to address the challenge of robotic manipulation learning in domestic environments by introducing DobbE, a highly adaptable system capable of learning and adapting from user demonstrations. The experiments demonstrated the system’s efficiency while highlighting the unique challenges in real-world settings. The study recognizes recent strides in…

On Data-Driven Equation Discovery | by George Miloshevich | Dec, 2023

Data ScienceDecember 3, 2023221Views 0Likes 0Comments

Photo by ThisisEngineering RAEng on UnsplashDescribing the nature with the help of analytical expressions verified through experiments has been a hallmark of the success of science especially in physics from fundamental law of gravitation to quantum mechanics and beyond. As challenges such as climate change, fusion, and computational biology pivot our focus toward more compute,…

From CSV to Complete Analytical Report with ChatGPT in 5 Simple Steps

Data AnalyticsDecember 3, 2023213Views 0Likes 0Comments

Image by rawpixel.com on Freepik No matter what business you are in, knowing how to analyze data is more important than ever in the data-driven era. Data analysis would enable businesses to stay competitive and provide the ability to make better decisions. The importance of data analysis drives every individual to know how…

This AI Paper from Northeastern University and MIT Develop Interpretable Concept Sliders for Enhanced Image Generation Control in Diffusion Models

AI NewsDecember 3, 2023197Views 0Likes 0Comments

Finer control over the visual characteristics and notions represented in a produced picture is typically required by artistic users of text-to-image diffusion models, which is presently not achievable. It can be challenging to accurately modify continuous qualities, such as an individual’s age or the intensity of the weather, using simple text prompts. This constraint makes…

Developing reliable AI tools for healthcare

OpenAIDecember 3, 2023218Views 0Likes 0Comments

New research proposes a system to determine the relative accuracy of predictive AI in a hypothetical medical setting, and when the system should defer to a human clinician Artificial intelligence (AI) has great potential to enhance how people work across a range of industries. But to integrate AI tools into the workplace in a safe…

Introduction to Mathematical Optimisation in Python | by Zolzaya Luvsandorj | Dec, 2023

Data ScienceDecember 3, 2023219Views 0Likes 0Comments

Data Science Fundamentals Beginner’s practical guide to discrete optimisation in Python 10 min read · 16 hours ago Data Scientists tackle a wide range of real-life problems using data and various techniques. Mathematical optimisation, a powerful technique that can be applied to a wide range of problems in many domains, makes a…