IBM Data Science in Practice

MAY 19, 2025

Phew! Those dreaded (rather liked) 3-letter acronymsIOT A few years ago, I found myself thinking about how messy IoT data could getfast. I ended up comparing it to a supermarket: different aisles, different types of data, all needing their own shelf space and labelingsystem. Looking back now, that idea still holdsbut its bigger than just IoT. Todays data ecosystems are even more complex.

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Flipboard

MAY 17, 2025

Natural language processing is utilized in a wide range of fields, where words in text are typically transformed into feature vectors called embeddings. BioConceptVec is a specific example of embeddings tailored for biology, trained on approximately 30 million PubMed abstracts using models such as skip-gram. Generally, word embeddings are known to solve analogy tasks through simple vector arithmetic.

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Analytics Vidhya

MAY 17, 2025

For all the tasks related to data science and machine learning, the most important thing that defines how a model will perform depends on how good our data is. Python Pandas and SQL are among the powerful tools that can help in extracting and manipulating data efficiently. By combining these two together, data analysts can […] The post How to Use Pandas and SQL Together for Data Analysis appeared first on Analytics Vidhya.

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Flipboard

MAY 17, 2025

A new wave of reasoning systems from companies like OpenAI is producing incorrect information more often. Even the companies dont know why. Last month, an.

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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

Hacker News

MAY 20, 2025

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Hacker News

MAY 17, 2025

This is the first in a series of posts about decision trees in the context of machine learning. The goal here is to provide a foundational understanding of decision trees and to implement them.

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Flipboard

MAY 22, 2025

Characterizing biological and environmental samples at a molecular level primarily uses tandem mass spectroscopy (MS/MS), yet the interpretation of tandem mass spectra from untargeted metabolomics experiments remains a challenge. Existing computational methods for predictions from mass spectra rely on limited spectral libraries and on hard-coded human expertise.

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AWS Machine Learning Blog

MAY 20, 2025

In the mortgage servicing industry, efficient document processing can mean the difference between business growth and missed opportunities. This post explores how Onity Group , a financial services company specializing in mortgage servicing and origination, used Amazon Bedrock and other AWS services to transform their document processing capabilities.

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Hacker News

MAY 23, 2025

Recent impressive results from large reasoning models have been interpreted as a triumph of Chain of Thought (CoT), and especially of the process of training on CoTs sampled from base LLMs in order to help find new reasoning patterns. In this paper, we critically examine that interpretation by investigating how the semantics of intermediate tokens-often anthropomorphized as "thoughts" or reasoning traces and which are claimed to display behaviors like backtracking, self-verification etc.

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Algorithm 86

Dataconomy

MAY 20, 2025

Fuzzy logic is a fascinating area of study that breaks away from the traditional binary classifications of truth. Unlike Boolean logic, which relies on strict true or false values, Fuzzy Logic recognizes that truth can exist in varying degrees. This nuanced understanding allows for more complex reasoning and better approximates human thought processes, which often deal with uncertainty and ambiguity.

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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

KDnuggets

MAY 20, 2025

You dont need an additional setup to run the Python web application.

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Flipboard

MAY 20, 2025

Enterprisesespecially in the insurance industryface increasing challenges in processing vast amounts of unstructured data from diverse formats, including PDFs, spreadsheets, images, videos, and audio files. These might include claims document packages, crash event videos, chat transcripts, or policy documents. All contain critical information across the claims processing lifecycle.

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Hacker News

MAY 19, 2025

This has been a very long time coming, but finally, after a marathon effort, the brand new Have I Been Pwned website is now live ! Feb last year is when I made the first commit to the public repo for the rebranded service, and we soft-launched the new brand in March of this year. Over the course of this time, we've completely rebuilt the website, changed the functionality of pretty much every web page, added a heap of new features, and today, we're even launching a merch store 😎

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Dataconomy

MAY 20, 2025

Flux is a fascinating concept in the realm of physics that captures the essence of how fields interact with surfaces. Whether were talking about electric or magnetic fields, flux provides a crucial insight into the dynamics of these invisible forces. By exploring the patterns and behaviors of field lines, we can better understand the influence these fields have on surrounding environments.

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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

KDnuggets

MAY 20, 2025

These common Python functions seem simple until they arent. Avoid subtle bugs by learning how to use them the right way.

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Python 200

ODSC - Open Data Science

MAY 20, 2025

When building an application powered by a Large Language Model (LLM), there are several moving parts that take it from an idea to something usable: writing prompt logic, handling user inputs, structuring backend code, managing API keys, andmost importantlydeploying it so others can useit. Its not just about getting the model to respond in Jupyter Notebook.

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IBM Data Science in Practice

MAY 19, 2025

Enabling SSL for Database in IBM SPSS CaDS on Liberty ServerPost-Installation Guide If youve recently installed the SPSS Collaboration and Deployment Services (CaDS) on IBM Liberty and are wondering how to securely connect to your database via SSL, this blog is for you. Well walk through the step-by-step process to enable SSL after your initial IBM SPSS CaDSsetup.

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Dataconomy

MAY 20, 2025

Extrapolation and interpolation are powerful tools in data analysis, enabling professionals to make informed predictions and fill in gaps in datasets. Whether you’re forecasting future trends or estimating missing values, understanding these concepts is essential in fields such as statistics, engineering, and economics. Lets delve into what these methodologies involve and how they can be applied effectively.

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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

MAY 23, 2025

This post was cowritten by Mulay Ahmed, Assistant Director of Engineering, and Ruby Donald, Assistant Director of Engineering at Principal Financial Group. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. Principal Financial Group is an integrated global financial services company with specialized solutions helping people, businesses, and institutions reach their long-term financial goals and access gre

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insideBIGDATA

MAY 23, 2025

NVIDIA said it has achieved a record large language model (LLM) inference speed, announcing that an NVIDIA DGX B200 node with eight NVIDIA Blackwell GPUs achieved more than 1,000tokens per second (TPS) per user on the 400-billion-parameter Llama 4 Maverick model.

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Analytics Vidhya

MAY 23, 2025

Cleaning data used to be a time-consuming and repetitive process, which took up much of the data scientist’s time. But now with AI, the data cleaning process has become quicker, wiser, and more efficient. AI models such as ChatGPT, Claude, Gemini, etc, can be used to automate anything from correcting format issues to handling missing […] The post How to Clean Data Using AI appeared first on Analytics Vidhya.

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Dataconomy

MAY 20, 2025

With capabilities like 4K resolution, AI-based auto-tracking, noise reduction, and smooth interaction with well-known video conference systems, conference room cameras will be more sophisticated than ever in 2025. Whether you are using it for virtual conferences, personal workstations, or big boardrooms, selecting the correct camera can greatly improve the experience of your video meeting area.

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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

Adrian Bridgwater for Forbes

MAY 20, 2025

SAP has announced an operating system for AI development to help build, deploy and scale AI solutions, known as SAP AI Foundation.

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Flipboard

MAY 19, 2025

A new memory model called Input-Driven Plasticity (IDP) offers a more human-like explanation for how external stimuli help us retrieve memories, building on the foundations of the classic Hopfield network.

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Hacker News

MAY 23, 2025

Other countries may benefit.

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Dataconomy

MAY 23, 2025

Microsoft and international law enforcement have executed a court-approved operation to dismantle Lumma Stealer, a widespread info-stealing malware that had infected over 394,000 Windows computers worldwide, with most cases reported in Brazil, Europe, and the U.S. Microsoft has been tracking Lumma Stealer since June 2023, and considered it a significant threat.

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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

KDnuggets

MAY 19, 2025

Unveiling the origins, "ins and outs," and implications of quantization in language models: all in simple terms.

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Flipboard

MAY 19, 2025

Built an ML model? Here are 7 free platforms to share it with the world.

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PyImageSearch

MAY 19, 2025

Home Table of Contents Build a Search Engine: Semantic Search System Using OpenSearch Introduction Why Semantic Search? (Beyond Keyword Matching) How Semantic Search Works What Are Embeddings? Sentence Embeddings in Action Nearest Neighbors and Semantic Search How OpenSearch Performs Semantic Search How OpenSearch Uses Neural Search and k-NN Indexing Understanding the Workflow Why Does This Matter for Movie Search?

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Dataconomy

MAY 20, 2025

Data sampling plays a crucial role in how organizations gather insights from vast data collections. Rather than analyzing every single piece of data, which can be impractical or even impossible, sampling allows for the efficient exploration of trends and patterns. This method of analysis is essential across various fields, from market research to public health, making it a cornerstone of informed decision-making.

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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