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: Frank Taliano
Document-heavy workflows slow down productivity, bury institutional knowledge, and drain resources. But with the right AI implementation, these inefficiencies become opportunities for transformation. So how do you identify where to start and how to succeed? Learn how to develop a clear, practical roadmap for leveraging AI to streamline processes, automate knowledge work, and unlock real operational gains.
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: 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
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.
KDnuggets
MARCH 5, 2025
Pandas alternative libraries that you might not know before.
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: 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?
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?
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
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.
KDnuggets
MARCH 4, 2025
In this article, you'll learn how to create a portfolio that stands out.
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!
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!
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.
Dataconomy
MARCH 5, 2025
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.
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.
Speaker: Yohan Lobo and Dennis Street
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
Analytics Vidhya
MARCH 3, 2025
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
Towards AI
MARCH 4, 2025
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.
Dataconomy
MARCH 5, 2025
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.
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.
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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.
databricks
MARCH 3, 2025
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.
Towards AI
MARCH 6, 2025
Author(s): Rhea Mall Originally published on Towards AI. With insights from Polyas Urn Model, learn how an initial random bias can have lasting effects on an AI systems learning trajectory. Ive found that luck is quite predictable. If you want more luck, take more chances. Be more active. Show up more often. This quote by motivational speaker Brian Tracy highlights the idea that effort creates opportunity, which in turn results in greater luck.
Dataconomy
MARCH 5, 2025
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.
KDnuggets
MARCH 3, 2025
Want to write cleaner, efficient, and more Pythonic code? Learn to use these built-in Python decorators today.
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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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