MARCH 3, 2025
Data preparation is a step within the data project lifecycle where we prepare the raw data for subsequent processes, such as data analysis and machine learning modeling.
Pickl AI
MARCH 5, 2025
Summary: Accuracy in Machine Learning measures correct predictions but can be deceptive, particularly with imbalanced or multilabel data. The blog explains the limitations of using accuracy alone. It introduces alternative metrics like precision, recall, F1-score, confusion matrices, ROC curves, and Hamming metrics to evaluate models, ensuring improved insights comprehensively.
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Dataconomy
MARCH 5, 2025
Tabletop games thrive on a delicate balance between skill and chance. Randomness can make a game thrillingor frustratingly arbitrary. But how do we measure this effect objectively? Researchers James Goodman, Diego Perez-Liebana, and Simon Lucas from Queen Mary University of London introduce a technique to quantify randomness in games, analyzing 15 tabletop titles to determine how unpredictability impacts outcomes.
MARCH 5, 2025
Stop writing extra code — these 10 one-liners will take care of 80% of your Scikit-Learn tasks!
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.
Hacker News
MARCH 6, 2025
The decision will end 400 years of the company's letter service, and postboxes will disappear from June.
insideBIGDATA
MARCH 5, 2025
AI cloud platform Fluidstack and Eclairion, a French maker of modular, high-density data centers, have partnered to build what the companies said is Europes largest GPU supercomputer that they will deliver in 2025 for Mistral AI, the French AI startup.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Machine Learning (Theory)
MARCH 5, 2025
( Dylan Foster and Alex Lamb both helped in creating this.) In thinking about what are good research problems, its sometimes helpful to switch from what is understood to what is clearly possible. This encourages us to think beyond simply improving the existing system. For example, we have seen instances throughout the history of machine learning where researchers have argued for fixing an architecture and using it for short-term success, ignoring potential for long-term disruption.
Analytics Vidhya
MARCH 3, 2025
February 2025 has been yet another game-changing month for generative AI, bringing us some of the most anticipated model upgrades and groundbreaking new features. From xAIs Grok 3 and Anthropics Claude 3.7 Sonnet, to OpenAIs GPT-4.5 and the promise of GPT-5, this month saw fierce competition in the AI race. Meanwhile, both OpenAI and Perplexity […] The post Top 5 Generative AI Breakthroughs of February 2025: GPT-4.5, Grok-3, and More!
insideBIGDATA
MARCH 4, 2025
SAN MATEO, Calif., March 04, 2025 — AI-powered integration company Nexla announced a major update to the Nexla Integration Platform, expanding its no-code integration, RAG pipeline engineering, and data governance capabilities with the intent to make enterprise-grade GenAI more accessible.
MARCH 3, 2025
The world's first "biological computer" that fuses human brain cells with silicon hardware to form fluid neural networks has been commercially launched, ushering in a new age of AI technology. The CL1, from Australian company Cortical Labs, offers a whole new kind of computing intelligence one that's more dynamic, sustainable and energy efficient than any AI that currently exists and we will start to see its potential when it's in users' hands in the coming months
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.
KDnuggets
MARCH 5, 2025
Pandas alternative libraries that you might not know before.
Machine Learning Research at Apple
MARCH 5, 2025
How can a robot safely navigate around people exhibiting complex motion patterns? Reinforcement Learning (RL) or Deep RL (DRL) in simulation holds some promise, although much prior work relies on simulators that fail to precisely capture the nuances of real human motion. To address this gap, we propose Deep Residual Model Predictive Control (DR-MPC), a method to enable robots to quickly and safely perform DRL from real-world crowd navigation data.
insideBIGDATA
MARCH 3, 2025
March 3, 2025 Today, Lenovo announced an entry-level edge AI inferencing server designed to make edge AI accessible and affordable for SMBs and enterprises alike1.
MARCH 6, 2025
The Pentagon has signed a deal with AI company Scale AI, in an initiative it's calling "Thunderforge," to use AI agents for military planning and operations. The team-up, described as a " flagship program ," is a notable development given how divisive the topic of the use of AI in warfare has proven and how many of the tech's nagging shortcomings have yet to be meaningfully addressed.
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
Hacker News
MARCH 5, 2025
We are all made of star stuff, as astronomer Carl Sagan was fond of reminding us. Supernova explosions, the catastrophic self-destruction of certain types of worn-out stars, are intimately tied to life on Earth because they are the birthplaces of heavy elements across the universe. Most of the iron in our blood and the sulfur in our amino acids originated in stars that detonated billions of years ago.
Analytics Vidhya
MARCH 3, 2025
YOLO (You Only Look Once) has been a leading real-time object detection framework, with each iteration improving upon the previous versions. The latest version YOLO v12 introduces advancements that significantly enhance accuracy while maintaining real-time processing speeds. This article explores the key innovations in YOLO v12, highlighting how it surpasses the previous versions while minimizing […] The post Is YOLO v12 Better Than YOLO v11?
Dataconomy
MARCH 6, 2025
AI systems lie. Not just by mistake or confusion, but knowinglywhen pressured or incentivized. In their recent study , Ren, Agarwal, Mazeika, and colleagues introduced the MASK benchmark, the first comprehensive evaluation that directly measures honesty in AI systems. Unlike previous benchmarks that conflated accuracy with honesty, MASK specifically tests whether language models knowingly provide false statements under pressure.
MARCH 7, 2025
The AI industry has a new buzzword: "PhD-level AI." According to a report from The Information, OpenAI may be planning to launch several specialized AI "agent" products including a $20,000 monthly tier focused on supporting "PhD-level research." Other reportedly planned agents include a "high-income knowledge worker" assistant at $2,000 monthly and a software developer agent at $10,000 monthly.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Machine Learning Research at Apple
MARCH 4, 2025
This study explores using embedding rank as an unsupervised evaluation metric for general-purpose speech encoders trained via self-supervised learning (SSL). Traditionally, assessing the performance of these encoders is resource-intensive and requires labeled data from the downstream tasks. Inspired by the vision domain, where embedding rank has shown promise for evaluating image encoders without tuning on labeled downstream data, this work examines its applicability in the speech domain, consid
Analytics Vidhya
MARCH 6, 2025
In the world of large language models (LLMs) there is an assumption that larger models inherently perform better. Qwen has recently introduced its latest model, QwQ-32B, positioning it as a direct competitor to the massive DeepSeek-R1 despite having significantly fewer parameters. This raises a compelling question: can a model with just 32 billion parameters stand […] The post QwQ-32B Vs DeepSeek-R1: Can a 32B Model Challenge a 671B Parameter Model?
KDnuggets
MARCH 4, 2025
In this article, you'll learn how to create a portfolio that stands out.
MARCH 4, 2025
Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
insideBIGDATA
MARCH 5, 2025
Ceramic.ai emerged from stealth today with software for foundation model training infrastructure designed to enable enterprises to build and fine-tune generative AI models more efficiently. Founded by Anna Patterson, former Google VP of Engineering.
Analytics Vidhya
MARCH 3, 2025
Now, this is a shocker, despite a lot of backlash on the cost of GPT 4.5, it becomes #1 in the Chatbot Arena LLM Leaderboard! Securing over 3,200+ votes, OpenAI’s latest model has emerged as number one across all evaluation categories, prominently excelling in Style Control and Multi-Turn interactions. This milestone reaffirms OpenAI’s leading role […] The post GPT 4.5 Becomes #1 on Chatbot Arena!
KDnuggets
MARCH 3, 2025
You want to learn data engineering, but dont know where to start? Here are the suggestions of five free online courses, with some additional resources for skill practicing.
MARCH 4, 2025
In late 2013, the Spike Jonze film Her imagined a future where people would form emotional connections with AI voice assistants. Nearly 12 years later, that fictional premise has veered closer to reality with the release of a new conversational voice model from AI startup Sesame that has left many users both fascinated and unnerved. "I tried the demo, and it was genuinely startling how human it felt," wrote one Hacker News user who tested the system.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
databricks
MARCH 5, 2025
Were excited to announce the Public Preview of Automatic Liquid Clustering, powered by Predictive Optimization. This feature automatically applies and updates Liquid Clustering columns on.
Analytics Vidhya
MARCH 3, 2025
In today’s data-driven world, efficient geospatial indexing is crucial for applications ranging from ride-sharing and logistics to environmental monitoring and disaster response. Uber’s H3, a powerful open-source spatial indexing system, provides a unique hexagonal grid-based solution that enables seamless geospatial analysis and fast query execution.
KDnuggets
MARCH 7, 2025
Explore how AI agents are transforming industries, from chatbots to autonomous vehicles, and learn what data scientists need to know to implement them effectively.
MARCH 4, 2025
Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. Its a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts. It also provides developers with greater control over the LLMs outputs, including the ability to include citations and manage sensitive information.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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