KDnuggets

APRIL 29, 2025

Data science is awesome, waiting for slow code isnt. Here are five techniques to speed up your workflow and boost productivity.

Data Science 167

Data Science 167

Dataconomy

APRIL 28, 2025

You’ve experienced it. That flash of frustration when ChatGPT, despite its incredible power, responds in a way that feels… off. Maybe it’s overly wordy, excessively apologetic, weirdly cheerful, or stubbornly evasive. While we might jokingly call it an “annoying personality,” it’s not personality at all. It’s a complex mix of training data, safety protocols, and the inherent nature of large language models (LLMs).

Python 184

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Towards AI

APRIL 28, 2025

Author(s): Suraj Jha Originally published on Towards AI. Learn how to filter data efficiently in SQL with powerful techniques and real-world examples for data science.SQL Filtering Techniques for Data Science The WHERE clause is the part of the SELECT statement that is used to list conditions that determine which rows in the table should be included in the result set.

Data Science 97

Data Science SQL Data Scientist Database 97

Data Science Dojo

APRIL 29, 2025

In the world of data, data workflows are essential to providing the ideal insights. Similarly, in football, these workflows will help you gain a competitive edge and optimize team performance. Imagine youre the data analyst for a top football club, and after reviewing the performance from the start of the season, you spot a key challenge: the team is creating plenty of chances, but the number of goals does not reflect those opportunities.

Power BI 195

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Speaker: Jason Chester, Director, Product Management

In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.

AI

Analytics Vidhya

APRIL 28, 2025

As we enter 2025, Python web frameworks are becoming more advanced and diverse than ever. They are empowering developers to create everything from simple sites to complex web applications. Finding the best Python framework for web development is key to building efficient and scalable solutions. In this article, well walk through a comprehensive list of […] The post Popular Python Web Frameworks to Use in 2025 appeared first on Analytics Vidhya.

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Python Analytics Analytics 194

Dataconomy

APRIL 28, 2025

Retrieval-Augmented Generation, or RAG, has been hailed as a way to make large language models more reliable by grounding their answers in real documents. The logic sounds airtight: give a model curated knowledge to pull from instead of relying solely on its own parameters, and you reduce hallucinations, misinformation, and risky outputs. But a new study suggests that the opposite might be happening.

AI 113

AI AI 113

AWS Machine Learning Blog

APRIL 30, 2025

Amazon Bedrock Model Distillation is generally available, and it addresses the fundamental challenge many organizations face when deploying generative AI : how to maintain high performance while reducing costs and latency. This technique transfers knowledge from larger, more capable foundation models (FMs) that act as teachers to smaller, more efficient models (students), creating specialized models that excel at specific tasks.

AWS 118

AWS AI AI Computer Science 118

Hacker News

APRIL 28, 2025

Transformers have recently emerged as a powerful tool for learning visual representations. In this paper, we identify and characterize artifacts in feature maps of both supervised and self-supervised ViT networks. The artifacts correspond to high-norm tokens appearing during inference primarily in low-informative background areas of images, that are repurposed for internal computations.

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Dataconomy

APRIL 28, 2025

Grid search is a powerful technique that plays a crucial role in optimizing machine learning models. By systematically exploring a set range of hyperparameters, grid search enables data scientists and machine learning practitioners to significantly enhance the performance of their algorithms. This method not only improves model accuracy but also provides a robust framework for evaluating different parameter combinations.

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Cross Validation Machine Learning Machine Learning Algorithm 91

Flipboard

APRIL 29, 2025

Some places are simply nicer to walk through than others. Compare a tree-lined path along the Seine in Paris to the side of a six-lane highway in Tallahassee, Florida, and the differences are obvious. But what exactly makes a place walkable is a matter of some debate. Those of the urbanist persuasion might point to a place’s density or mix of land uses.

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AI AI Artificial Intelligence Artificial Intelligence 153

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

ETL

AWS Machine Learning Blog

MAY 2, 2025

In this post, we showcase how Dr. Kori Ramajoo, Dr. Sonia Brownsett, Prof. David Copland, from QARC, and Scott Harding, a person living with aphasia, used AWS services to develop WordFinder, a mobile, cloud-based solution that helps individuals with aphasia increase their independence through the use of AWS generative AI technology. In the spirit of giving back to the community and harnessing the art of the possible for positive change, AWS hosted the Hack For Purpose event in 2023.

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AWS AI AI Machine Learning 97

Hacker News

APRIL 30, 2025

Measuring progress is fundamental to the advancement of any scientific field. As benchmarks play an increasingly central role, they also grow more susceptible to distortion. Chatbot Arena has emerged as the go-to leaderboard for ranking the most capable AI systems. Yet, in this work we identify systematic issues that have resulted in a distorted playing field.

AI 138

AI AI 138

Dataconomy

APRIL 28, 2025

PR AUC, or precision-recall area under the curve, is a powerful performance metric used primarily in the realm of binary classification, particularly when dealing with imbalanced datasets. As machine learning models become increasingly prevalent for tasks ranging from fraud detection to medical diagnostics, understanding how to evaluate their effectiveness becomes critical.

Machine Learning 91

Machine Learning Machine Learning Analytics Analytics 91

Flipboard

APRIL 27, 2025

As a computer scientist who has been immersed in AI ethics for about a decade, Ive witnessed firsthand how the field has evolved. Today, a growing number of engineers find themselves developing AI solutions while navigating complex ethical considerations. Beyond technical expertise, responsible AI deployment requires a nuanced understanding of ethical implications.

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AI AI Machine Learning Machine Learning 175

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Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

AWS Machine Learning Blog

APRIL 28, 2025

Modern large language models (LLMs) excel in language processing but are limited by their static training data. However, as industries require more adaptive, decision-making AI, integrating tools and external APIs has become essential. This has led to the evolution and rapid rise of agentic workflows, where AI systems autonomously plan, execute, and refine tasks.

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AWS AI AI Computer Science 112

Hacker News

APRIL 30, 2025

From the department of head scratches comes this counterintuitive news: Microsoft says it has no plans to change a remote login protocol in Windows that allows people to log in to machines using passwords that have been revoked. Password changes are among the first steps people should take in the event that a password has been leaked or an account has been compromised.

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Dataconomy

APRIL 28, 2025

EU smartphone ecodesign 2025 officially lands on 20 June 2025, and the upgrade cycle will never look the same. Brussels has drawn a new red line for every phone and slate tablet that wants to stay on European shelves, and this playbook explains why the rules exist, how they work, and what each stakeholder must do next. Why Brussels pulled the trigger The European Commission expects the EU smartphone ecodesign 2025 package to cut nearly 14 TWh of primary energy every year by 2030, shrink househol

Clustering 91

Clustering Database Algorithm AI 91

PyImageSearch

APRIL 28, 2025

Home Table of Contents Object Detection in Gaming: Fine-Tuning Google’s PaliGemma 2 for Valorant Configuring Your Development Environment Setup and Imports Load the Valorant Dataset Format Dataset to PaliGemma Format Display Train Image and Label COCO Format BBox to XYXY Format Scale Bounding Box Values Define Conversion Function Define Function to Process Single Dataset Example Apply Formatting Push the PaliGemma-Formatted Dataset to the Hugging Face Hub Perform Inference with the Pre-Tra

Deep Learning 96

Deep Learning Deep Learning Computer Science Computer Science 96

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

AWS Machine Learning Blog

APRIL 29, 2025

In the era of generative AI , new large language models (LLMs) are continually emerging, each with unique capabilities, architectures, and optimizations. Among these, Amazon Nova foundation models (FMs) deliver frontier intelligence and industry-leading cost-performance, available exclusively on Amazon Bedrock. Since its launch in 2024, generative AI practitioners, including the teams in Amazon, have started transitioning their workloads from existing FMs and adopting Amazon Nova models.

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AWS ML ML AI 91

Hacker News

APRIL 28, 2025

For streaming services such as Netflix, Digital Rights Management (DRM) systems provide a level of control over the company’s most valuable assets, including movies, TV shows, and other content for consumer consumption. DRM not only restricts access to customers authorized to consume content, it can determine when and how it’s consumed too.

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Dataconomy

APRIL 29, 2025

The world’s most powerful future AI systems will likely first be deployed internally , behind the closed doors of the very companies creating them. This critical issue is the focus of a recent research report titled “ AI Behind Closed Doors: A Primer on The Governance of Internal Deployment” by Charlotte Stix, Matteo Pistillo, and colleagues primarily from Apollo Research.

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AI AI Machine Learning Machine Learning 91

Flipboard

APRIL 28, 2025

AI agents are quickly becoming an integral part of customer workflows across industries by automating complex tasks, enhancing decision-making, and streamlining operations. However, the adoption of AI agents in production systems requires scalable evaluation pipelines. Robust agent evaluation enables you to gauge how well an agent is performing certain actions and gain key insights into them, enhancing AI agent safety, control, trust, transparency, and performance optimization.

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Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

AI

AWS Machine Learning Blog

MAY 1, 2025

Multimodal fine-tuning represents a powerful approach for customizing foundation models (FMs) to excel at specific tasks that involve both visual and textual information. Although base multimodal models offer impressive general capabilities, they often fall short when faced with specialized visual tasks, domain-specific content, or particular output formatting requirements.

AWS 83

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Towards AI

APRIL 28, 2025

Author(s): Syed Affan Originally published on Towards AI. Prerequisites Before diving in, you should have: Basic AI/ML understanding: concepts like language models, embeddings, and model inference. Software engineering skills: familiarity with Python, virtual environments, and package installation. Python libraries: comfort importing and using packages and file I/O.

Python 103

Python Database Data Science AI 103

Dataconomy

MAY 2, 2025

How do we evaluate systems that evolve faster than our tools to measure them? Traditional machine learning evaluations, rooted in train-test splits, static datasets, and reproducible benchmarks, are no longer adequate for the open-ended, high-stakes capabilities of modern GenAI models. The core proposal of this position paper is bold but grounded: AI competitions, long used to crowdsource innovation, should be elevated to the default method for empirical evaluation in GenAI.

Machine Learning 91

Machine Learning Machine Learning AI AI 91

FlowingData

APRIL 28, 2025

Nikola Jokic of the Denver Nuggets has been showing up in highlight reels for his no-look passes. For the Ringer, Michael Pina breaks it down as a proxy for basketball IQ. According to Sportradar, this season, Jokic recorded 143 potential assists and 89 actual assists when his line of sight was at least 40 degrees different from the path of his pass (both marks rank in the top 10 in the league).

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Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

O'Reilly Media

APRIL 29, 2025

In a recent edition of The Sequence Engineering newsletter, Why Did MCP Win? , the authors point to context serialization and exchange as a reasonperhaps the most important reasonwhy everyones talking about the Model Context Protocol. I was puzzled by thisIve read a lot of technical and semitechnical posts about MCP and havent seen context serialization mentioned.

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AI AI ML ML 73

Towards AI

APRIL 28, 2025

Last Updated on April 28, 2025 by Editorial Team Author(s): Nadav Barak Originally published on Towards AI. Photo by Jungwoo Hong on Unsplash. Large Language Models (LLMs) are transforming machine learning, powering applications like chatbots, RAG, and autonomous agents. But building with LLMs comes with a major hurdle: Their output is evaluated either manually, which is costly and slow, or through crude automation that is inconsistent, lacking detail, and inaccurate.

Machine Learning 84

Machine Learning Machine Learning AI AI 84

Dataconomy

APRIL 28, 2025

Density-based clustering stands out in the realm of data analysis, offering unique capabilities to identify natural groupings within complex datasets. Unlike traditional clustering methods that may struggle with varied densities and shapes, density-based approaches excel in discovering clusters of any arbitrary shape, making them a powerful tool in machine learning and data science.

Clustering 91

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Data Science Dojo

APRIL 28, 2025

Imagine relying on an LLM-powered chatbot for important information, only to find out later that it gave you a misleading answer. This is exactly what happened with Air Canada when a grieving passenger used its chatbot to inquire about bereavement fares. The chatbot provided inaccurate information, leading to a small claims court case and a fine for the airline.

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AI AI Azure Data Science 195

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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline