Sat.Mar 01, 2025 - Fri.Mar 07, 2025

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10 Python One-Liners That Will Boost Your Data Preparation Workflow

Flipboard

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.

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How Can You Check the Accuracy of Your Machine Learning Model?

Pickl AI

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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Are you winning because you’re good—or just lucky? AI has the answer

Dataconomy

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.

AI 91
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10 Python One-Liners for Scikit-learn

Flipboard

Stop writing extra code — these 10 one-liners will take care of 80% of your Scikit-Learn tasks!

Python 160
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How to Achieve High-Accuracy Results When Using LLMs

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

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Denmark postal service to stop delivering letters

Hacker News

The decision will end 400 years of the company's letter service, and postboxes will disappear from June.

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Towards AI-Driven Sign Language Generation with Non-Manual Markers

Machine Learning Research at Apple

Sign languages are essential for the Deaf and Hard-of-Hearing (DHH) community. Sign language generation systems have the potential to support communication by translating from written languages, such as English, into signed videos. However, current systems often fail to meet user needs due to poor translation of grammatical structures, the absence of facial cues and body language, and insufficient visual and motion fidelity.

AI 259

More Trending

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Headroom for AI development

Machine Learning (Theory)

( 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.

AI 157
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Top 5 Generative AI Breakthroughs of February 2025: GPT-4.5, Grok-3, and More!

Analytics Vidhya

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!

AI 206
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World's first "Synthetic Biological Intelligence" runs on living human cells

Flipboard

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

AI 182
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Nexla Expands AI-Powered Integration Platform for Enterprise-Grade GenAI

insideBIGDATA

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.

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The 2nd Generation of Innovation Management: A Survival Guide

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?

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Python Tooling Beyond Pandas: Libraries to Broaden Your Data Science Toolkit

KDnuggets

Pandas alternative libraries that you might not know before.

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DR-MPC: Deep Residual Model Predictive Control for Real-World Social Navigation

Machine Learning Research at Apple

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.

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Pentagon Signs Deal to "Deploy AI Agents for Military Use"

Flipboard

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.

AI 176
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Lenovo Unveils AI Inferencing Server

insideBIGDATA

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.

AI 195
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Apache Airflow® Best Practices: DAG Writing

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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Is YOLO v12 Better Than YOLO v11?

Analytics Vidhya

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?

Analytics 154
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Towards Automatic Assessment of Self-Supervised Speech Models Using Rank

Machine Learning Research at Apple

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

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The Ultimate Guide to Building a Machine Learning Portfolio That Lands Jobs

KDnuggets

In this article, you'll learn how to create a portfolio that stands out.

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Announcing Automatic Liquid Clustering

databricks

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.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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GPT 4.5 Becomes #1 on Chatbot Arena!

Analytics Vidhya

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!

Analytics 140
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Apple M4 MacBook Air is here: Specs, price and release date

Dataconomy

Apple has officially introduced the M4 MacBook Air , delivering a major performance boost, improved AI capabilities , and a fresh sky blue color option. With a starting price of $999 $100 less than the previous modelthis update makes the worlds most popular laptop even more accessible. M4 MacBook Air: Whats new? The M4 chip brings significant speed improvements, making the new MacBook Air up to 2x faster than the M1 model and up to 23x faster than Intel-based MacBook Airs.

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What Data Scientists Need to Know About AI Agents and Autonomous Systems

KDnuggets

Explore how AI agents are transforming industries, from chatbots to autonomous vehicles, and learn what data scientists need to know to implement them effectively.

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Ceramic.ai Emerges from Stealth, Reports 2.5x Faster Model Training

insideBIGDATA

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.

AI 269
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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DeepSeek #OpenSourceWeek Day 6: Inference System Overview

Analytics Vidhya

As we reach Day 6 of #OpenSourceWeek, DeepSeek presented an in-depth overview of the DeepSeek-V3/R1 inference system. This article will dig into the system’s design principles, optimization strategies, and performance statistics, highlighting the significant advancements made in throughput and latency optimization. System Design Principles The primary objectives of the DeepSeek-V3/ DeepSeek R1 inference system are […] The post DeepSeek #OpenSourceWeek Day 6: Inference System Overview

Analytics 146
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M4 MacBook Air (2025) vs M2 MacBook Air (2024): Should you upgrade?

Dataconomy

Apple has unveiled the M4 MacBook Air , bringing significant performance upgrades, a new AI-powered experience , and improved display capabilitiesall while maintaining the same ultra-thin, fanless design. But how does it compare to its predecessor, the M2 MacBook Air (2024)? If you’re wondering whether to upgrade from M2 to M4 or which model to buy in 2025 , this detailed comparison breaks down all the key differences.

AI 91
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5 Free Data Engineering Courses

KDnuggets

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.

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Beyond Training Data: How RAG Lets LLMs Retrieve, Not Guess

Towards AI

Author(s): DarkBones Originally published on Towards AI. Source: Image by the author generated with Flux. Large Language Models (LLMs) like GPT-4 dont actually know anything, they predict words based on old training data. Retrieval-Augmented Generation (RAG) changes that by letting AI pull in fresh, real-world knowledge before answering. RAG enhances LLMs by enabling them to retrieve relevant information from external sources before generating a response.

Database 100
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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Announcing Databricks’ Offer for Games Startups

databricks

Databricks is excited to announce an expansion to our startup offer, providing game studios access to free credits, expert advice and a data and AI.

AI 234
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Hyperautomation

Dataconomy

Hyperautomation is transforming the landscape of enterprise operations by merging multiple technologies into a cohesive approach that streamlines processes and enhances efficiency. It’s an exciting convergence that takes automation beyond simple task completion, integrating advanced tools like AI and machine learning to forge robust solutions for todays complex business challenges.

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7 Powerful Python Decorators to Level Up Your Coding Game

KDnuggets

Want to write cleaner, efficient, and more Pythonic code? Learn to use these built-in Python decorators today.

Python 267
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Reality of organ transplant waiting lists

FlowingData

One might hope that people on a waiting list for an organ transplant were treated from top to bottom, individual by individual. It’s not that simple though. For The New York Times, Brian M. Rosenthal, Mark Hansen, and Jeremy White illustrate the complex reality of the queue. The Times analyzed more than 500,000 transplants performed since 2004 and found that procurement organizations regularly ignore waiting lists even when distributing higher-quality organs.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.