Thu.Jul 17, 2025

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Build Your Own Simple Data Pipeline with Python and Docker

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Build Your Own Simple Data Pipeline with Python and Docker Learn how to develop a simple data pipeline and execute it easily.

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Feature Engineering with LLM Embeddings: Enhancing Scikit-learn Models

Machine Learning Mastery

Large language model embeddings, or LLM embeddings, are a powerful approach to capturing semantically rich information in text and utilizing it to leverage other machine learning models — like those trained using Scikit-learn — in tasks that require deep contextual understanding of text, such as intent recognition or sentiment analysis.

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10 Surprising Things You Can Do with Python’s collections Module

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 10 Surprising Things You Can Do with Python’s collections Module This tutorial explores ten practical — and perhaps surprising — applications of the Python collections module.

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The most in-demand skills and jobs for 2025

Flipboard

The Upwork Research Institute is seeing a significant uptick in interest related to artificial intelligence (AI) and machine learning (ML) professionals.

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Precision in Motion: Why Process Optimization Is the Future of Manufacturing

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.

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Language Models Improve When Pretraining Data Matches Target Tasks

Machine Learning Research at Apple

Every data selection method inherently has a target. In practice, these targets often emerge implicitly through benchmark-driven iteration: researchers develop selection strategies, train models, measure benchmark performance, then refine accordingly. This raises a natural question: what happens when we make this optimization explicit? To explore this, we propose benchmark-targeted ranking (BETR), a simple method that selects pretraining documents based on similarity to benchmark training exampl

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Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment

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DNA metabolism genes play pivotal roles in the regulation of cellular processes that contribute to cancer progression, immune modulation, and therapeutic response in prostate cancer (PC). Understanding the mechanisms by which these genes influence the tumor microenvironment and immune evasion is crucial for identifying prognostic biomarkers and developing targeted therapies.

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How to run an LLM on your laptop

Flipboard

It’s now possible to run useful models from the safety and comfort of your own computer. Here’s how.

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K-Means Clustering Algorithm

Data Flair

Program 1 from sklearn.cluster import KMeans import pandas as pd # Sample data data = pd.DataFrame({ "Income": [15000, 16000, 90000, 95000, 60000, 62000,65000,98000,12000], "SpendingScore": [90, 85, 20, 15, 50, 55,54,23,94] }) # Apply K-Means... The post K-Means Clustering Algorithm appeared first on DataFlair.

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10 Mind-Blowing Ways AI Agents Are Solving Real-World Problems

Flipboard

Skip to main content Skip to secondary menu Skip to primary sidebar Skip to footer Geeky Gadgets The Latest Technology News Home Top News AI Apple Android Technology Guides Gadgets Hardware Gaming Autos Deals About 10 Mind-Blowing Ways AI Agents Are Solving Real-World Problems 1:13 pm July 17, 2025 By Julian Horsey What if machines could not only think but also act—independently, intelligently, and in real time?

AI
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Why we might lose our only window into how AI thinks

Dataconomy

A paper titled “ Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety ” proposes a method for improving AI safety by monitoring the internal reasoning of AI models. The research is a collaborative effort from dozens of experts across the UK AI Security Institute, Apollo Research, Google DeepMind, OpenAI, Anthropic, Meta, and several universities.

AI
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Airflow Best Practices for ETL/ELT Pipelines

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!

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Building enterprise-scale RAG applications with Amazon S3 Vectors and DeepSeek R1 on Amazon SageMaker AI

Flipboard

Organizations are adopting large language models (LLMs), such as DeepSeek R1, to transform business processes, enhance customer experiences, and drive innovation at unprecedented speed. However, standalone LLMs have key limitations such as hallucinations, outdated knowledge, and no access to proprietary data. Retrieval Augmented Generation (RAG) addresses these gaps by combining semantic search with generative AI , enabling models to retrieve relevant information from enterprise knowledge bases

AI
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Google Unveils New AI Security Tools Ahead of Black Hat and DEF CON

ODSC - Open Data Science

Google is advancing its AI-driven cybersecurity efforts with new tools, systems, and partnerships set to be showcased at Black Hat USA and DEF CON 3 3. From predictive AI agents to advanced anomaly detection, the tech giant is redefining how defenders secure digital infrastructure. Big Sleep: AI That Finds Vulnerabilities Before They’re Exploited One of Google’s most promising tools is Big Sleep, an AI agent developed by DeepMind and Google Project Zero.

AI
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Introduction to XGBoost Algorithm

Data Flair

Program 1 Diabetes Prediction Dataset import pandas as pd from sklearn.model_selection import train_test_split from xgboost import XGBClassifier from sklearn.metrics import accuracy_score from sklearn.preprocessing import LabelEncoder # Load data df = pd.read_csv("D://scikit_data/diabetes/diabetes_prediction_dataset.csv") # columns: Glucose,... The post Introduction to XGBoost Algorithm appeared first on DataFlair.

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Why People Feel Angst About AI — and What We Can Do About It

ODSC - Open Data Science

Why People Feel Angst About AI — and What We Can Do About It As artificial intelligence becomes increasingly integrated into business operations and daily life, public unease is growing in parallel. While AI tools promise efficiency, personalization, and innovation, many professionals and everyday users feel an underlying sense of anxiety. This AI angst stems from real, often overlapping concerns — from fears of job loss to ethical gray areas and misinformation.

AI
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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

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.

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ML Project – Customer Segmentation Using K-Means Clustering

Data Flair

Program 1 Customer Segmentation Dataset Customer Segmentation Dataset 1 # Librires import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn.cluster import KMeans from sklearn.preprocessing import StandardScaler # Step 1:... The post ML Project – Customer Segmentation Using K-Means Clustering appeared first on DataFlair.

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Determination of lung cancer exhaled breath biomarkers using machine learning-a new analysis framework

Flipboard

Exhaled breath samples of lung cancer patients (LC), tuberculosis (TB) patients and asymptomatic controls (C) were analyzed using gas chromatography-mass spectrometry (GC-MS). Ten volatile organic compounds (VOCs) were identified as possible biomarkers after confounders were statistically eliminated to enhance biomarker specificity. The diagnostic potential of these possible biomarkers was evaluated using multiple machine learning models and their performance for classifying patients and control

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Parsing Protobuf like never before

Hacker News

mcyoung Im Miguel. I write about compilers, performance, and silly computer things. I also draw Pokémon. Home • Art • Resumé • Syllabus About • Posts • Tags • • • CC BY-SA • Site Analytics © 2025 Miguel Young de la Sota 2025-07-16 • 4119 words • 45 minutes • #go • #dark-arts • #protobuf Parsing Protobuf Like Never Before Historically I have worked on many projects related to high-performance Protobuf, be that on the C++ runtime, on the Rust runtime, or on integrating UPB , the fastest Proto

AWS
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Researchers from OpenAI, Anthropic, Meta, and Google issue joint AI safety warning - here's why

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X Trending Apple's iOS 26 and iPadOS 26 public betas are releasing any minute now Every iPhone model getting iOS 26 and which ones won't How to download the iOS 26 beta on your iPhone Is ChatGPT Plus really worth $20? Oura Ring 3 vs Oura Ring 4 Echo Pop vs Echo Dot Roku vs Fire Stick Best small tablets 2025 Best email marketing software 2025 Best free CRM software 2025 Best CRM software 2025 Best business VoIP services 2025 How to clear your TV cache How to upgrade an 'incompatibl

AI
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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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.

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NVIDIA CEO Warns: Jobs at Risk Not from AI, But from Those Who Use It

ODSC - Open Data Science

At the Milken Institute Global Conference 2025, NVIDIA CEO Jensen Huang delivered a clear message: AI won’t take your job, but someone using it might. “ Every job will be affected, and immediately. It is unquestionable, ” said Huang. “ You’re not going to lose your job to an AI, but you’re going to lose your job to someone who uses AI. ” As head of the $3.3 trillion chipmaker powering many of today’s most advanced AI systems , Huang’s insights carry weight.

AI
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Binary

Dataconomy

Binary forms the foundation of all digital computing. This numbering system, comprised solely of the digits 0 and 1, enables computers to manage complex data and operations efficiently. Understanding binary is crucial as it serves as the backbone of digital communication, data storage, and processing. What is binary? Binary is a numbering system that represents data using only two symbols: 0 and 1.

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PATH launches landmark AI study in Africa exploring LLMs’ potential in health diagnoses

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Penda Health clinicians Oscar Murebu (left) and Naomi Ndwiga review information in the clinic’s electronic medical record, which includes an integrated AI consult tool for clinical decision support. (PATH Photo / Waithera Kamau) PATH has launched the largest study of its kind in Africa, recruiting 9,000 participants to test whether artificial intelligence can help primary care clinicians make better diagnoses and treatment decisions in resource-limited settings.

AI
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Implementing on-demand deployment with customized Amazon Nova models on Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock offers model customization capabilities for customers to tailor versions of foundation models (FMs) to their specific needs through features such as fine-tuning and distillation. Today, we’re announcing the launch of on-demand deployment for customized models ready to be deployed on Amazon Bedrock. On-demand deployment for customized models provides an additional deployment option that scales with your usage patterns.

AWS
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A Guide to Debugging Apache Airflow® DAGs

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

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Lovable becomes a unicorn with $200M Series A just 8 months after launch

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Fast-growing Swedish AI vibe coding startup Lovable has become Europe’s latest unicorn. Only eight months since its launch, the startup has raised a $200 million Series A round led by Accel at a $1.8 billion valuation.

AI
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ML Project – Student Dropout Risk Prediction using Gradient Boosting

Data Flair

Program 1 Student Dropout Risk Dataset # Step 1: Import libraries #Student Dropout Risk Prediction import pandas as pd from sklearn.model_selection import train_test_split from sklearn.preprocessing import LabelEncoder from sklearn.ensemble import GradientBoostingClassifier from sklearn.metrics import... The post ML Project – Student Dropout Risk Prediction using Gradient Boosting appeared first on DataFlair.

ML
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YC-backed Indian AI Startup CodeParrot Shuts Down

Flipboard

The startup, founded by Vedant Agarwala and Royal Jain in 2022, had raised $500,000 and gained early traction with a VS Code extension that translated Figma designs and screenshots into React, Flutter, and HTML code.

AI
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New Study Finds AI Tools Slow Experienced Developers in Familiar Codebases

ODSC - Open Data Science

A recent study by the AI research nonprofit METR challenges the widely held belief that artificial intelligence tools always improve software development productivity. Contrary to prior findings, the study discovered that experienced developers working in codebases they knew well were actually slowed down when using AI-powered coding assistants. The study, conducted earlier this year, evaluated seasoned developers using Cursor — a popular AI coding assistant  — while completing tasks in open-sou

AI
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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The 20 Hottest Agentic AI Tools And Agents Of 2025 (So Far)

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Research & Cutting‑Edge Agents• AlphaEvolve (Google DeepMind) – An evolutionary coding agent powered by Gemini, AlphaEvolve autonomously invents and …

AI
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Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI

AWS Machine Learning Blog

Evaluating the performance of large language models (LLMs) goes beyond statistical metrics like perplexity or bilingual evaluation understudy (BLEU) scores. For most real-world generative AI scenarios, it’s crucial to understand whether a model is producing better outputs than a baseline or an earlier iteration. This is especially important for applications such as summarization, content generation, or intelligent agents where subjective judgments and nuanced correctness play a central role.

AI
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AI and the Arrival of the Cognitive Colonizers

Flipboard

Is AI quietly reshaping how we think? Colonization never starts as a grand conquest. It often begins quietly, perhaps even politely.

AI
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How to Replicate Zepto’s Multilingual Query Resolution System from Scratch?

Analytics Vidhya

Have you ever used Zepto for ordering groceries online? You must have seen that if you even write a wrong word or misspell a name, Zepto still understands and shows you the perfect results that you were looking for. Users typing “kele chips” instead of “banana chips” struggle to find what they want. Misspellings and […] The post How to Replicate Zepto’s Multilingual Query Resolution System from Scratch?

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How to Modernize Manufacturing Without Losing Control

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