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Query Optimization for Mere Humans in PostgreSQL
PostgreSQL: Query Optimization for MereHumansUnderstanding a PostgreSQL execution plan with practical examplesPhoto by Greg Rakozy onUnsplashToday, users have high expectations for the programs they use. Users expect programs to have amazing features, to be fast, and to consume a reasonable amount of resources.As developers, we should thrive to give our users the best experience possible. Itβs pretty common that the...
Published on: December 03, 2024 | Source:
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Becoming a Data Scientist: What I Would Do If I Had to Start Over
Breaking into data science: The Good, the Bad, and the PythonBugsPhoto by Markus Spiske onUnsplashMartin Luther King Jr. is famous for his speech, βI Have a Dream.β He delivered it at the Lincoln Memorial in Washington, D.C., on August 28, 1963, in front of approximately 250,000 persons. Itβs considered one of the most important speeches of the 20th century. It played a crucial role in the civil rights movement for...
Published on: December 03, 2024 | Source:Birdβs-Eye View of Linear Algebra: Left, Right Inverse => Injective, Surjective Maps
If matrix multiplication isnβt commutative, then why donβt we have left and right inverses?Continue reading on Towards Data Science Β»
Published on: December 03, 2024 | Source:The Name That Broke ChatGPT: Who is David Mayer?
AI, privacy, human bias, prompting, the future of content, and how to hack a chatbotContinue reading on Towards Data Science Β»
Published on: December 03, 2024 | Source:The Cultural Impact of AI Generated Content: Part 1
What happens when AI generated media becomes ubiquitous in our lives? How does this relate to what weβve experienced before, and how does it changeus?Photo by Annie Spratt onUnsplashThis is the first part of a two part series Iβm writing analyzing how people and communities are affected by the expansion of AI generated content. Iβve already talked at some length about the environmental, economic, and labor issues...
Published on: December 03, 2024 | Source:From Retrieval to Intelligence: Exploring RAG, Agent+RAG, and Evaluation with TruLens
Unlocking the Power of GPT-Generated PrivateCorporaIntroductionNowadays the world has a lot of good foundation models to start your custom application with (gpt-4o, Sonnet, Gemini, Llama3.2, Gemma, Ministral, etc.). These models know everything about history, geography, and Wikipedia articles but still have weaknesses. Mostly there are two of them: level of details (e.g., the model knows about BMW, what it does, model...
Published on: December 03, 2024 | Source:How Do I Keep My Job Safe by Becoming an AI Expert?
Get job security with DataCamp's 50% off Black Friday deal!
Published on: December 03, 2024 | Source:Integrating Machine Learning into Existing Software Systems
Check out these key concepts, tools, jargon, and tips for integrating ML models into existing software systems.
Published on: December 03, 2024 | Source:The Ten Commandments for (Power BI) Reporting
I have been asked about some basic rules when creating a reporting solution. Here I am writing down ten commandments on this topic.Continue reading on Towards Data Science Β»
Published on: December 03, 2024 | Source:How to Build Prompt Engineering Expertise at Your Company
You decided to employ generative AI at your company and have already conducted initial experiments with it. And now comes the question: do I need a dedicated person (-s) to handle all the upcoming promptwork?While the general interest around prompt engineering has remained steady over the last few years, a lot of companies struggle to make their first step in building prompt engineering competency because of simply not...
Published on: December 03, 2024 | Source:Paper Walkthrough: Neural Style Transfer
Turn your photos into paintings with deep learningβImplementing NST from scratch using PyTorchContinue reading on Towards Data Science Β»
Published on: December 03, 2024 | Source:Enter The Void: An Open Source AI Coding IDE
The new open-source initiative to democratize programming AI IDE.
Published on: December 03, 2024 | Source:Power Analysis, Demystified
Deriving the Equation for Sample Size from First PrinciplesContinue reading on Towards Data Science Β»
Published on: December 03, 2024 | Source:Machine Learning vs. Traditional Analytics: When to Use Which?
This article focuses on demystifying the difference between traditional data analytics methods vs.
Published on: December 03, 2024 | Source:Google Gemini Is Entering the Advent of Code Challenge
An open-source project to explore the capabilities and limitations of LLMs on coding challengesImage by author (created with Flux 1.1Pro)What is thisabout?If 2024 taught us anything in the realm of Generative AI, then it is that coding is one of the most promising applications for large language models(LLMs).In this blog post, I will describe how I am using one of the most advanced LLMs, Gemini Experimental 1121, which...
Published on: December 02, 2024 | Source:RAG: Hybrid Search Based on Two Indexes
The proposition I will be talking about in this article is something I already have implemented and I am currently testing in a personalβ¦Continue reading on Towards Data Science Β»
Published on: December 02, 2024 | Source:Context-Aided Forecasting: Enhancing Forecasting with Textual Data
A promising alternative approach to improve forecastingContinue reading on Towards Data Science Β»
Published on: December 02, 2024 | Source:3D Clustering with Graph Theory: The Complete Guide
Python Tutorial for Euclidean Clustering of 3D Point Clouds with Graph Theory. Fundamental concepts and sequential workflow forβ¦Continue reading on Towards Data Science Β»
Published on: December 02, 2024 | Source:Machine Learning Experiments Done Right
A detailed guideline for designing machine learning experiments that produce reliable, reproducible results.Photo by Vedrana FilipoviΔ onUnsplashMachine learning (ML) practitioners run experiments to compare the effectiveness of methods for both specific applications and for general types of problems. The validity of experimental results hinges on how practitioners design, run, and analyze their experiments....
Published on: December 02, 2024 | Source:Market Basket Analysis: The Complete Guide
How Association Rules and Market Basket Analysis uncover hidden customer behavior patterns.Continue reading on Towards Data Science Β»
Published on: December 02, 2024 | Source:AI Agents in Networking Industry
AI Agents for deploying, configuring and monitoring NetworksAI agents have been all the rage in 2024 and rightfully so. Unlike traditional AI models or interactions with Large Language Models (LLMs) that provide responses based on static training data, AI agents are dynamic entities that can perceive, reason (due to prompting techniques), and act autonomously within their operational domains. Their ability to adapt and...
Published on: December 02, 2024 | Source:10 GitHub Repositories to Master Reinforcement Learning
Learn reinforcement learning using free resources, including books, frameworks, courses, tutorials, example code, and projects.
Published on: December 02, 2024 | Source:Overcoming Security Challenges in Protecting Shared Generative AI Environments
Ensuring Safe AI on Multi-TenancyContinue reading on Towards Data Science Β»
Published on: December 02, 2024 | Source:How to Implement Cross-Lingual Transfer Learning with mBERT in Hugging Face Transformers
Let's learn how to use mBERT for multilingual tasks.
Published on: December 02, 2024 | Source:The Arcane Network
How to use network science and Python to map out the popularshowThe second season of Arcane, a recent blockbuster series on Netflix based on the universe of one of the most popular online video games ever, League of Legends, is set in a fantasy world with heavy steampunk design, closed with astonishing visuals and a record-breaking budget. As a good network and data scientist with a particular interest in turning pop...
Published on: December 02, 2024 | Source:10 Python Libraries Every Developer Should Know
In this article, weβll go over Python libraries for tasks like logging, unit testing, data handling, and more β each with features that can simplify your application development.
Published on: December 02, 2024 | Source:Visualizing Regression Models with Seaborn
Using visualization to understand the relationship between two variablesContinue reading on Towards Data Science Β»
Published on: December 02, 2024 | Source:Building a Graph RAG System: A Step-by-Step Approach
Graph RAG, Graph RAG, Graph RAG! This term has become the talk of the town, and you might have come across it as well.
Published on: December 02, 2024 | Source:Smaller is smarter
Concerns about the environmental impacts of Large Language Models (LLMs) are growing. Although detailed information about the actual costs of LLMs can be difficult to find, letβs attempt to gather some facts to understand thescale.Generated with ChatGPT-4oSince comprehensive data on ChatGPT-4 is not readily available, we can consider Llama 3.1 405B as an example. This open-source model from Meta is arguably the most β...
Published on: December 01, 2024 | Source:Why βStatistical Significanceβ Is Pointless
Hereβs a better framework for data-driven decision-makingContinue reading on Towards Data Science Β»
Published on: December 01, 2024 | Source:The Lead, Shadow, and Sparring Roles in New Data Settings
From data engineer to domain expertβwhat it takes to build a new data platformContinue reading on Towards Data Science Β»
Published on: December 01, 2024 | Source:How to Solve a Simple Problem With Machine Learning
A technical walkthrough of lesson oneContinue reading on Towards Data Science Β»
Published on: December 01, 2024 | Source:When Not to Use the Streamlit AgGrid Component
Streamlit-AgGrid is amazing. But there are 2 scenarios where its use is not recommended.Continue reading on Towards Data Science Β»
Published on: December 01, 2024 | Source:Making News Recommendations Explainable with Large Language Models
A prompt-based experiment to improve both accuracy and transparent reasoning in content personalization.Deliver relevant content to readers at the right time. Image byauthor.At DER SPIEGEL, we are continually exploring ways to improve how we recommend news articles to our readers. In our latest (offline) experiment, we investigated whether Large Language Models (LLMs) could effectively predict which articles a reader...
Published on: November 30, 2024 | Source:Grokking Behavioral Interviews
Master the art of behavioral interviews and land your dream jobContinue reading on Towards Data Science Β»
Published on: November 30, 2024 | Source: