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@kdnuggets

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Data Science • Machine Learning • AI • Analytics • Founded by Gregory Piatetsky-Shapiro • Edited by @mattmayo13 • KD stands for Knowledge Discovery

San Juan, PR
Joined February 2009
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@kdnuggets
KDnuggets
2 hours
Conduktor’s new ebook, “AI Can’t Wait: Build Systems You Can Trust,” shows how to enforce data quality at the source so real-time AI can deliver greater accuracy, fewer failures, and faster adoption. 📘 Get your free copy and learn how to: ✅ Identify the hidden costs of bad
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@kdnuggets
KDnuggets
6 hours
With base rate neglect, we get so caught up in the details of an individual example case that we forget how common or rare that case is in the bigger picture.  #statology
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statology.org
With base rate neglect, we get so caught up in the details of an individual example case that we forget how common or rare that case is in the bigger picture.
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@kdnuggets
KDnuggets
7 hours
Let's take a look at how vLLM streamlines the process of serving large language models by making it faster and easier to integrate with existing machine learning workflows.
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kdnuggets.com
Let's take a look at how vLLM streamlines the process of serving large language models by making it faster and easier to integrate with existing machine learning workflows.
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@kdnuggets
KDnuggets
9 hours
This article will explore five different tips to help you build useful Streamlit dashboards in minutes.
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kdnuggets.com
This article will explore five different tips to help you build useful Streamlit dashboards in minutes.
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@kdnuggets
KDnuggets
1 day
How to build an orchestration workflow to prototype a RAG system that uses Airtable text databases as the knowledge base for retrieval, and OpenAI's GPT models for response generation.
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kdnuggets.com
How to build an orchestration workflow to prototype a RAG system that uses Airtable text databases as the knowledge base for retrieval, and OpenAI's GPT models for response generation.
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@kdnuggets
KDnuggets
1 day
In this article, we will explore how to calculate and interpret the covariance matrix using NumPy.  #statology
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statology.org
In this article, we will explore how to calculate and interpret the covariance matrix using NumPy.
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@kdnuggets
KDnuggets
1 day
In this article, we explore some of the best local coding LLMs that fit into local workflows and highlight why they stand out from the rest.
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kdnuggets.com
In this article, we explore some of the best local coding LLMs that fit into local workflows and highlight why they stand out from the rest.
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@kdnuggets
KDnuggets
2 days
In this tutorial, we will show how to move data from a PDF to Google Sheets with OCR.  #statology
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statology.org
In this tutorial, we will show how to move data from a PDF to Google Sheets with OCR.
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@kdnuggets
KDnuggets
2 days
To turn AI from pilots into impact: define the problem, fix your data, upskill people, start small and scale, and bake in responsible AI.
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@kdnuggets
KDnuggets
2 days
Why waste weeks tuning models when you can forecast your data with Python in minutes?
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kdnuggets.com
Why waste weeks tuning models when you can forecast your data with Python in minutes?
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@kdnuggets
KDnuggets
2 days
Is your Visual AI Model Truly Ready for Production? Tesla’s AI missing pedestrians is proof that even top models fail due to data issues. Learn how to spot these issues early and prevent costly failures and business risks. Data-related issues are the leading cause of AI model
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@thesopawsome
The So Pawsome 🐾
4 months
Always curious and full of energy, Beagles turn every walk into an adventure 🐾🎉.
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@kdnuggets
KDnuggets
2 days
To turn AI from pilots into impact: define the problem, fix your data, upskill people, start small and scale, and bake in responsible AI. Dive into the 5 strategic steps to a seamless AI integration 👇 🔗 https://t.co/Ht00EsOQCP
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@kdnuggets
KDnuggets
2 days
No design skills? No problem. Google Stitch turns your simple text prompts into ready-to-use UIs in minutes.
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kdnuggets.com
No design skills? No problem. Google Stitch turns your simple text prompts into ready-to-use UIs in minutes.
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@kdnuggets
KDnuggets
2 days
Explore leading web search APIs for agentic AI, offering real-time, high-accuracy SERP results, RAG readiness, low latency, and scalability; with Python quickstarts and free tiers for seamless integration.
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kdnuggets.com
Explore leading web search APIs for agentic AI, offering real-time, high-accuracy SERP results, RAG readiness, low latency, and scalability; with Python quickstarts and free tiers for seamless...
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@kdnuggets
KDnuggets
3 days
A step-by-step guide to building a Model Context Protocol (MCP) for your data science team (and why adapting AI is the key to staying ahead in this field).
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kdnuggets.com
A step-by-step guide to building a Model Context Protocol (MCP) for your data science team (and why adapting AI is the key to staying ahead).
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@kdnuggets
KDnuggets
3 days
AI systems powering critical decisions have become prime targets for sophisticated cyberattacks exploiting machine learning vulnerabilities.
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kdnuggets.com
AI systems powering critical decisions have become prime targets for sophisticated cyberattacks exploiting machine learning vulnerabilities.
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@kdnuggets
KDnuggets
3 days
Learn how softmax converts raw scores into probability distributions that power AI decision-making.  #statology
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statology.org
Learn how softmax converts raw scores into probability distributions that power AI decision-making.
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@kdnuggets
KDnuggets
3 days
If you want to be strategically positioned in the AI field of tomorrow, look into these these developing trends.
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kdnuggets.com
If you want to be strategically positioned in the AI field of tomorrow, look into these these developing trends.
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@kdnuggets
KDnuggets
6 days
Think the Python Standard Library is predictable? Think again. This article covers interesting ways to use familiar functions in interesting contexts.
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kdnuggets.com
Think the Python Standard Library is predictable? Think again. This article covers interesting ways to use familiar functions in interesting contexts.
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@kdnuggets
KDnuggets
6 days
In this article, we’ll explore 10 Python one-liners using Faker to generate diverse synthetic data for various use cases, from random names and addresses to fake credit card numbers and job titles.  #statology
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statology.org
In this article, we’ll explore 10 Python one-liners using Faker to generate diverse synthetic data for various use cases, from random names and addresses to fake credit card numbers and job titles.
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