KDnuggets

JUNE 18, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter The 7 Most Useful Jupyter Notebook Extensions for Data Scientists In this article, we will explore seven different Jupyter Notebook extensions that will improve your work.

Data Scientist 251

Data Scientist Natural Language Processing Data Science Machine Learning 251

Hacker News

JUNE 18, 2025

Building on the recent empirical work of Kwa et al.

AI 181

AI AI 181

Flipboard

JUNE 16, 2025

Skip to content Explore Topics Architecture and Hardware Artificial Intelligence and Machine Learning Computer History Computing Applications Computing Profession Data and Information Education HCI Philosophy of Computing Security and Privacy Society Software Engineering and Programming Languages Systems and Networking Theory Latest Issue Latest Issue June 2025 , Vol. 68 No. 6 Previous Issue May 2025 , Vol. 68 No. 5 Explore the archive Search Open Membership Navigation Settings Sign Out Sign In

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 97

Hacker News

JUNE 14, 2025

Q-learning is not yet scalable Seohong Park UC Berkeley June 2025 Does RL scale? Over the past few years, weve seen that next-token prediction scales, denoising diffusion scales, contrastive learning scales, and so on, all the way to the point where we can train models with billions of parameters with a scalable objective that can eat up as much data as we can throw at it.

Algorithm 180

Algorithm Supervised Learning Machine Learning Machine Learning 180

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

KDnuggets

JUNE 17, 2025

BigQuery's ObjectRef unifies structured and unstructured data, enabling multimodal analytics via SQL and Python.

Analytics 330

Analytics Analytics SQL Python 330

Machine Learning Research at Apple

JUNE 20, 2025

Normalizing Flows (NFs) are likelihood-based models for continuous inputs. They have demonstrated promising results on both density estimation and generative modeling tasks, but have received relatively little attention in recent years. In this work, we demonstrate that NFs are more powerful than previously believed. We present TarFlow: a simple and scalable architecture that enables highly performant NF models.

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Machine Learning Mastery

JUNE 19, 2025

MLOps, or machine learning operations, is all about managing the end-to-end process of building, training, deploying, and maintaining machine learning models.

Machine Learning 281

Machine Learning Machine Learning Python 281

KDnuggets

JUNE 20, 2025

Use these frameworks to optimize memory and compute resources, scale your machine learning workflow, speed up your processes, and reduce the overall cost.

Machine Learning 247

Machine Learning Machine Learning 247

Flipboard

JUNE 16, 2025

The world’s leading publication for data science, AI, and ML professionals. Sign in Sign out Contributor Portal Latest Editor’s Picks Deep Dives Contribute Newsletter Toggle Mobile Navigation LinkedIn X Toggle Search Search Machine Learning I Won $10,000 in a Machine Learning Competition — Here’s My Complete Strategy Complete guide to feature selection, threshold optimization, and neural network architecture for ML competitions Claudia Ng Jun 16, 2025 7 min read Share Anime-style illustration of

Machine Learning 126

Machine Learning Machine Learning Data Science Artificial Intelligence 126

Dataconomy

JUNE 18, 2025

Data Lakehouse has emerged as a significant innovation in data management architecture, bridging the advantages of both data lakes and data warehouses. By enabling organizations to efficiently store various data types and perform analytics, it addresses many challenges faced in traditional data ecosystems. This powerful model combines accessibility with advanced analytics capabilities, making it a game-changer for businesses seeking to leverage their data.

Data Lakes 91

Data Lakes Data Warehouse Business Intelligence Business Intelligence 91

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

databricks

JUNE 18, 2025

Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your Lakehouse C&SI Partner Program Build, deploy or migrate to the Lakehouse Data Partners Access the ecosystem of data consumers Partner Solutions

AI 200

AI AI Data Science Business Intelligence 200

KDnuggets

JUNE 17, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Deploying the Magistral vLLM Server on Modal A guide for Python beginners to build, deploy, and test a Magistral reasoning model.

Natural Language Processing 171

Natural Language Processing Machine Learning Machine Learning Data Science 171

ODSC - Open Data Science

JUNE 19, 2025

ODSC East 2025 delivered again, packed with cutting-edge discussions, forward-looking use cases, and some of the most insightful minds in AI and data science. While there were dozens of sessions worth watching, we’ve curated a list of ten standout presentations, based on attendee feedback and session ratings. These slides — still publicly available — offer a snapshot of today’s rapidly evolving data landscape, from lightweight LLMs to production-grade agentic applications.

Data Scientist 52

Data Scientist Data Science ML ML 52

O'Reilly Media

JUNE 18, 2025

It feels like every other AI announcement lately mentions “agents.” And already, the AI community has 2025 pegged as “the year of AI agents,” sometimes without much more detail than “They’ll be amazing!” Often forgotten in this hype are the fundamentals. Everybody is dreaming of armies of agents, booking hotels and flights, researching complex topics, and writing PhD theses for us.

AI 83

AI AI Database Python 83

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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

Flipboard

JUNE 16, 2025

Skip to main content Skip to secondary menu Skip to primary sidebar Skip to footer Geeky Gadgets The Latest Technology News Home Top News AI Apple Android Technology Guides Gadgets Hardware Gaming Autos Deals About How to Fine Tune your own LLM using LoRA (on a Custom dataset) 1:19 pm June 16, 2025 By Julian Horsey Imagine unlocking the full potential of a massive language model, tailoring it to your unique needs without breaking the bank or requiring a supercomputer.

AI 81

AI AI Machine Learning Machine Learning 81

KDnuggets

JUNE 16, 2025

Learn how to migrate from Pandas to Polars with practical examples, side-by-side code comparisons, and strategies to unlock performance improvements on your existing data workflows.

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Hacker News

JUNE 18, 2025

Transcript of Andrej Karpathy's YC AI SUS talk at Y Combinator on June 17th, 2024.

AI 94

AI AI 94

Dataconomy

JUNE 19, 2025

Data architects play a pivotal role in today’s data-driven businesses, shaping the data landscape and ensuring that organizations can effectively manage and utilize their data resources. As the demand for data professionals continues to grow, understanding the unique functions and responsibilities of data architects becomes crucial for both aspiring individuals and organizations looking to enhance their data capabilities.

Data Engineering 91

Data Engineering Data Engineering Data Engineering Data Engineer 91

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

Machine Learning Research at Apple

JUNE 20, 2025

Uncertainty Quantification (UQ) in Language Models (LMs) is key to improving their safety and reliability. Evaluations often use metrics like AUROC to assess how well UQ methods (e.g., negative sequence probabilities) correlate with task correctness functions (e.g., ROUGE-L). We show that mutual biases--when both UQ methods and correctness functions are biased by the same factors--systematically distort evaluation.

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KDnuggets

JUNE 19, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes In this tutorial, we will show how to create an interactive data science dashboard in Excel in minutes without Streamlit.

Data Science 233

Data Science Natural Language Processing Machine Learning Machine Learning 233

Hacker News

JUNE 17, 2025

Discover how Anthropic approaches the development of reliable AI agents. Learn about our research on agent capabilities, safety considerations, and technical framework for building trustworthy AI.

AI 181

AI AI 181

Dataconomy

JUNE 19, 2025

Data Mesh is revolutionizing how organizations handle their data, shifting from traditional centralized systems to a more decentralized approach. This innovative framework allows teams to treat data as a product, enhancing accessibility and governance while promoting collaboration across departments. What is data mesh? Data mesh is a decentralized data management architecture that focuses on distributing data ownership across different organizational domains.

Data Lakes 91

Data Lakes Data Silos Data Quality ML 91

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

Flipboard

JUNE 15, 2025

Artificial intelligence is evolving into a new phase that more closely resembles human perception and interaction with the world. Multimodal AI enables systems to process and generate information across various formats such as text, images, audio, and video.

Artificial Intelligence 119

Artificial Intelligence Artificial Intelligence AI AI 119

KDnuggets

JUNE 19, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Go vs. Python for Modern Data Workflows: Need Help Deciding? Need both performance and flexibility in your data workflows?

Python 285

Python Natural Language Processing Data Science Machine Learning 285

Hacker News

JUNE 15, 2025

Preface Foundations of Computer Vision Twitter LinkedIn Preface Copyright Notation 1 The Challenge of Vision Foundations 2 A Simple Vision System 3 Looking at Images 4 Computer Vision and Society Image Formation 5 Imaging 6 Lenses 7 Cameras as Linear Systems 8 Color Foundations of Learning 9 Introduction to Learning 10 Gradient-Based Learning Algorithms 11 The Problem of Generalization 12 Neural Networks 13 Neural Networks as Distribution Transformers 14 Backpropagation Foundations of Image Proc

Machine Learning 178

Machine Learning Machine Learning Algorithm Deep Learning 178

Dataconomy

JUNE 18, 2025

Data integration is an essential aspect of modern businesses, enabling organizations to harness diverse information sources to drive insights and decision-making. In today’s data-driven world, the ability to combine data from various systems and formats into a unified view is paramount. This ensures that all stakeholders have access to accurate and timely data, fostering collaboration and efficiency across departments.

Data Warehouse 91

Data Warehouse Data Silos ETL Big Data 91

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

Flipboard

JUNE 18, 2025

Skip to main content Skip to secondary menu Skip to primary sidebar Skip to footer Geeky Gadgets The Latest Technology News Home Top News AI Apple Android Technology Guides Gadgets Hardware Gaming Autos Deals About Self-Evolving AI : New MIT AI Rewrites its Own Code and it’s Changing Everything 1:13 pm June 18, 2025 By Julian Horsey What if artificial intelligence could not only learn but also rewrite its own code to become smarter over time?

AI 161

AI AI Artificial Intelligence Artificial Intelligence 161

KDnuggets

JUNE 17, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter NotebookLM + Deep Research: The Ultimate Learning Hack Let’s unlock smarter, faster learning by combining NotebookLM with deep research strategies.

Natural Language Processing 279

Natural Language Processing Data Science Machine Learning Machine Learning 279

ODSC - Open Data Science

JUNE 20, 2025

During a recent ODSC webinar , Sean Tracey, Head of Developer Relations at Expanso, presented a compelling vision for running large language models (LLMs) securely, efficiently, and locally. The conversation centered on a pressing problem: how organizations can leverage the power of LLMs without exposing their sensitive data to proprietary, cloud-hosted models.

AI 52

AI AI Clustering Machine Learning 52

Dataconomy

JUNE 18, 2025

Dimension tables play a critical role in data warehousing, serving as the backbone for organizing and interpreting vast amounts of business data. These structured tables enable data analysts to derive meaningful insights from information stored in fact tables. Essentially, dimension tables enhance the understanding of data by providing descriptive context to numerical measurements, making them indispensable for effective business intelligence.

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Data Warehouse Business Intelligence Business Intelligence Analytics 91

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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