Sat.Mar 22, 2025 - Fri.Mar 28, 2025

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Mastering Data Normalization: A Comprehensive Guide

Data Science Dojo

Data normalizationsounds technical, right? But at its core, it simply means making data normal or well-structured. Now, that might sound a bit vague, so lets clear things up. But before diving into the details, lets take a quick step back and understand why normalization even became a thing in the first place. Think about itdata is everywhere. It powers business decisions, drives AI models, and keeps databases running efficiently.

Database 195
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Leaked data exposes a Chinese AI censorship machine

Flipboard

A complaint about poverty in rural China. A news report about a corrupt Communist Party member. A cry for help about corrupt cops shaking down entrepreneurs.

AI 181
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What is Adaptive Machine Learning and How Does It Work?

Pickl AI

Summary: Adaptive Machine Learning is a cutting-edge technology that allows systems to learn and adapt in real-time by processing new data continuously. Unlike traditional models, it provides more accurate predictions and insights, making it ideal for dynamic environments. This adaptability enhances decision-making across various sectors, including finance, healthcare, and e-commerce.

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Google Gen AI Toolbox: A Python Library for SQL Databases

Analytics Vidhya

Google has introduced the Google Gen AI Toolbox for Databases, an open-source Python library designed to simplify database interaction with GenAI. By converting natural language queries into optimized SQL commands, the toolbox eliminates the complexities of SQL, making data retrieval more intuitive and accessible for both developers and non-technical users.

SQL 152
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Automation, Evolved: Your New Playbook For Smarter Knowledge Work

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.

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Job hunting and hiring in the age of AI: Where did all the humans go?

Flipboard

The proliferation of artificial intelligence tools and overreliance on software such as ChatGPT is making the job market increasingly surreal. Of the 150-odd jobs Jaye West applied for in the past few months, nearly all of them involved artificial intelligence somewhere in the process.

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Airline Demand Between Canada & United States Collapses, Down 70%+

Hacker News

Recently, I wrote about how were seeing a general softening of demand for travel to the United States, for a variety of reasons. Theres no denying that the most contentious situation is between Canada and the United States, and we now have some data that shows just how extreme the change in demand is. Transborder flight bookings are down by 70%+ Weve known that travel demand between Canada and the United States has been decreasing, both by air and by roads.

Analytics 182

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Announcing Anthropic Claude 3.7 Sonnet is natively available in Databricks

databricks

Were excited to announce that Anthropic Claude 3.7 Sonnet is now natively available in Databricks across AWS, Azure, and GCP. For the first time, you.

Azure 359
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You can now download the source code that sparked the AI boom

Flipboard

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet , the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 by proving that "deep learning" could achieve things conventional AI techniques could not. Deep learning , which uses multi-layered neural networks that can learn from data without explicit programming, represented a significant departure from traditional AI approaches that relied on hand-crafted ru

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Google makes Android development private, will continue open source releases

Hacker News

Google is planning a major change to the way it develops new versions of the Android operating system. Since the beginning , large swaths of the software have been developed in public-facing channels, but that will no longer be the case. This does not mean Android is shedding its open source roots, but the process won't be as transparent. Google has confirmed to Android Authority that all Android development work going forward will take place in Google's internal branch.

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Evaluating Toxicity in Large Language Models

Analytics Vidhya

How do we keep AI safe and helpful as it grows more central to our digital lives? Large language models (LLMs) have become incredibly advanced and widely used, powering everything from chatbots to content creation. With this rise, the need for reliable evaluation metrics has never been greater. One critical measure is toxicityassessing whether AI […] The post Evaluating Toxicity in Large Language Models appeared first on Analytics Vidhya.

Analytics 154
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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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TAO: Using test-time compute to train efficient LLMs without labeled data

databricks

Large language models are challenging to adapt to new enterprise tasks. Prompting is error-prone and achieves limited quality gains, while fine-tuning requires large amounts of.

AI 338
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Cool Site Shows Exactly Which Books Zuckerberg's Minions Illegally Downloaded to Train Meta's AI

Flipboard

For all the revolutionary change artificial intelligence promises, it also makes lofty demands. For starters, AI is extraordinarily power hungry. Generating all the electricity that AI datacenters consume takes forest-loads of energy, not to mention hardware and cooling infrastructure. That stuff all costs a lot, making AI a huge money pit. That's had a big effect on our economy, as the tiniest bit of AI hype can send huge shockwaves through Wall Street and beyond.

AI 162
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How to Reach $500K on Upwork

KDnuggets

Check out the story of a Reddit user who has achieved success by following 7 simple rules.

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Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations

Machine Learning Research at Apple

In this work, we dive into the fundamental challenges of evaluating Text2SQL solutions and highlight potential failure causes and the potential risks of relying on aggregate metrics in existing benchmarks. We identify two largely unaddressed limitations in current open benchmarks: (1) data quality issues in the evaluation data mainly attributed to the lack of capturing the probabilistic nature of translating a natural language description into a structured query (e.g., NL ambiguity), and (2) the

SQL 130
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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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A Gentle Introduction to Attention and Transformer Models

Machine Learning Mastery

Transformer is a deep learning architecture that is very popular in natural language processing (NLP) tasks. It is a type of neural network that is designed to process sequential data, such as text. In this article, we will explore the concept of attention and the transformer architecture.

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Mythbuster: Here’s what ‘agentic’ AI actually means for advertisers, agencies and publishers

Flipboard

Forget chatbots and prompt engineering agentic is the latest AI buzzword to captivate and confuse marketers and media execs. In recent months, tech firms like OpenAI have emphasized AI agents and agentic applications of the technology in their mission to popularize generative AI adoption. The latest development comes courtesy of Adobe, which unveiled several AI agent tools last week at its Summit conference in Las Vegas , including a foundation agentic platform and 10 off-the-shelf AI agents.

AI 155
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Building an Automatic Speech Recognition System with PyTorch & Hugging Face

KDnuggets

Check out this step-by-step guide to building a speech-to-text system with PyTorch & Hugging Face.

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Join The Data Movement Movement

Adrian Bridgwater for Forbes

Moving data is risky because data in transport mustn't end up in the wrong place & shouldn't be sent to machine entities that dont have access policy rights.

Big Data 263
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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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Self-Supervised Learning from Images with JEPA

Hacker News

This paper demonstrates an approach for learning highly semantic image representations without relying on hand-crafted data-augmentations. We introduce the Image-based Joint-Embedding Predictive Architecture (I-JEPA), a non-generative approach for self-supervised learning from images. The idea behind I-JEPA is simple: from a single context block, predict the representations of various target blocks in the same image.

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Building a voice interface for generative AI assistants

Flipboard

Generative AI is revolutionizing how businesses interact with their customers through natural conversational interfaces. While organizations can implement AI assistants across various channels, phone calls remain a preferred method for many customers seeking support or information.

AI 153
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Land Your Dream Machine Learning Job in 2025

KDnuggets

In this article, I will go through 5 pointers on how to help you secure your dream job.

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Implementing Multilingual Translation with T5 and Transformers

Machine Learning Mastery

This post is divided into three parts; they are: Setting up the translation pipeline Translation with alternatives Quality estimation Text translation is a fundamental task in natural language processing, and it inspired the invention of the original transformer model.

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Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

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.

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Synthetic food dyes: potential risks behind the rainbow

SAS Software

Many popular products from brightly colored candies and cereals to neon pickles to vibrant drinks get their eye-catching appeal from synthetic food dyes. But beneath their dazzling hues lies a complex, controversial web of science, regulation and risk. So, lets explore the history of synthetic food dyes and uncover potential [.] The post Synthetic food dyes: potential risks behind the rainbow appeared first on SAS Blogs.

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What’s new with Data Sharing & Collaboration

databricks

Databricks enables organizations to securely share data, AI models, and analytics across teams, partners, and platforms without duplication or vendor lock-in. With Delta Sharing, Databricks.

Analytics 225
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10 Pandas One-Liners for Data Cleaning

KDnuggets

Want to make data cleaning more enjoyable? These pandas one-liners for data cleaning will help you get more done with less!

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A Gentle Introduction to Graph Neural Networks in Python

Machine Learning Mastery

Graph neural networks (GNNs) can be pictured as a special class of neural network models where data are structured as graphs — both training data used to train the model and real-world data used for inference — rather than fixed-size vectors or grids like image, sequences, or instances of tabular data.

Python 244
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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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UiPath Launches Test Cloud to Bring AI Agents to Software Testing 

insideBIGDATA

UiPath (NYSE: PATH), an enterprise automation and AI software company, today announced the launch of UiPath Test Cloud, a new approach to software testing that uses AI to amplify tester productivity across the testing lifecycle, designed for.

AI 221
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Serving Qwen Models on Databricks

databricks

Qwen models, developed by Alibaba, have shown strong performance in both code completion and instruction tasks. In this blog, well show how you can register.

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Trae: Adaptive AI Code Editor

KDnuggets

In this article, we will explore Trae, a powerful adaptive AI code editor, its key features, setup process, and tips for maximizing productivity.

AI 274
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10 Must-Know Python Libraries for LLMs in 2025

Machine Learning Mastery

In this article, we explore 10 of the Python libraries every developer should know in 2025.

Python 229
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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?