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Model Validation Techniques, Explained: A Visual Guide with Code Examples

MODEL EVALUATION & OPTIMIZATION12 must-know methods to validate your machinelearningEvery day, machines make millions of predictionsβ€”from detecting objects in photos to helping doctors find diseases. But before trusting these predictions, we need to know if they’re any good. After all, no one would want to use a machine that’s wrong most of thetime!This is where validation comes in. Validation methods test machine...

Published on: November 30, 2024 | Source: Towards Data Science favicon Towards Data Science

Dunder Methods: The Hidden Gems of Python

Real-world examples on how actively using special methods can simplify coding and improve readability.Dunder methods, though possibly a basic topic in Python, are something I have often noticed being understood only superficially, even by people who have been coding for quite sometime.Disclaimer: This is a forgivable gap, as in most cases, actively using dunder methods β€œsimply” speeds up and standardize tasks that can...

Published on: November 30, 2024 | Source: Towards Data Science favicon Towards Data Science

Massive Black Friday Deals for Machine Learning Fans!

Black Friday is finally here, and so are huge savings for your machine learning journey!

Published on: November 29, 2024 | Source: KDnuggets favicon KDnuggets

How Did Open Food Facts Fix OCR-Extracted Ingredients Using Open-Source LLMs?

Delve into an end-to-end Machine Learning project to improve the quality of the Open Food FactsdatabaseImage generated withFlux1Open Food Facts’ purpose is to create the largest open-source food database in the world. To this day, it has collected over 3 millions products and their information thanks to its contributors.Nutritional value, eco-score, product origins,… Various data that define each product and give...

Published on: November 29, 2024 | Source: Towards Data Science favicon Towards Data Science

Effortless Data Handling: Find Variables Across Multiple Data Files with R

A practical solution with code andworkflowLost in a maze of datasets and endless data dictionaries? Say goodbye to tedious variable hunting! Discover how to quickly identify and extract the variables you need from multiple SAS files using two simple R functions. Streamline your workflow, save time, and make data preparation abreeze!Photo by imgix onUnsplashAs a researcher with over seven years of experience working...

Published on: November 29, 2024 | Source: Towards Data Science favicon Towards Data Science

Why Internal Company Chatbots Fail and How to Use Generative AI in Enterprise with Impact

Start with the problem and not with thesolutionBackground licensed from elements.envato.com, edit by Marcel MΓΌller2024The most common disillusion that many organizations have is the following: They get excited about generative AI with ChatGPT or Microsoft Co-Pilot, read some article about how AI can β€œmake your business better in some way,” then try to find other use cases where they can slap a chatbot on and in the end...

Published on: November 29, 2024 | Source: Towards Data Science favicon Towards Data Science

Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query!

5 practical use cases that prove Power Query is worth exploring.I have a confession to make: I’ve been living under a rock . Not literally, but how else can I explain not discovering Power Query in Excel untilnow?Imagine realising that all those hours spent wrangling VLOOKUPs, nesting IFs, and battling messy data could’ve been replaced with a few simpleclicks.Image generated by theauthorPower Query does everything...

Published on: November 29, 2024 | Source: Towards Data Science favicon Towards Data Science

Water Cooler Small Talk: Simpson’s Paradox

Is your data tricking you? What can you do about it?Continue reading on Towards Data Science Β»

Published on: November 29, 2024 | Source: Towards Data Science favicon Towards Data Science

Multimodal Embeddings: An Introduction

Mapping text and images into a commonspaceThis is the 2nd article in a larger series on multimodal AI. In the previous post, we saw how to augment large language models (LLMs) to understand new data modalities (e.g., images, audio, video). One such approach relied on encoders that generate vector representations (i.e. embeddings) of non-text data. In this article, I will discuss multimodal embeddings and share what...

Published on: November 29, 2024 | Source: Towards Data Science favicon Towards Data Science

Tips for Handling Large Datasets in Python

Working with large datasets is common but challenging. Here are some tips to make working with such large datasets in Python simpler.

Published on: November 29, 2024 | Source: KDnuggets favicon KDnuggets

AI Math: The Bias-Variance Trade-off in Deep Learning

A visual tour from classical statistics to the nuances of deeplearningSource: All images by author unless otherwise indicated.In deep learning the bias-variance trade-off is not straightforward and can often be the wrong thing to pay attention to. To understand why, we need to take a tour through inferential statistics, classical statistical learning methods, and machine learning robustness. We’ll end the article by...

Published on: November 29, 2024 | Source: Towards Data Science favicon Towards Data Science

Porting Twitter’s Anomaly Detection Algorithm To Swift

From Twitter to Swift: Building Anomaly Detection.Continue reading on Towards Data Science Β»

Published on: November 29, 2024 | Source: Towards Data Science favicon Towards Data Science

10 Essential Conda Commands for Data Science

This is a collection of the 10 most frequently used Conda commands that every data scientist, machine learning engineer, or Python developer should have at their fingertips.

Published on: November 29, 2024 | Source: KDnuggets favicon KDnuggets

So It’s Your First Year in AI; Here’s What to Expect

Sharing my experience from both AI startups and large corporatesContinue reading on Towards Data Science Β»

Published on: November 29, 2024 | Source: Towards Data Science favicon Towards Data Science

GenAI is Reshaping Data Science Teams

Challenges, opportunities, and the evolving role of data scientistsPicture by articstudios onUnsplashGenerative AI (GenAI) opens the door to faster development cycles, minimized technical and maintenance efforts, and innovative use cases that before seemed out of reach. At the same time, it brings new risksβ€”like hallucinations, and dependencies on third-party APIs.For Data Scientists and Machine Learning teams, this...

Published on: November 29, 2024 | Source: Towards Data Science favicon Towards Data Science

The Intuition behind Concordance Indexβ€Šβ€”β€ŠSurvival Analysis

The Intuition behind Concordance Indexβ€”SurvivalAnalysisRanking accuracy versus absoluteaccuracyTaken by the author and her Border Collie. β€œBe thankful for what you have. Be fearless for what youwant”How long would you keep your Gym membership before you decide to cancel it? or Netflix if you are a series fan but busier than usual to allocate 2 hours of your time to your sofa and your TV? Or when to upgrade or replace...

Published on: November 28, 2024 | Source: Towards Data Science favicon Towards Data Science

Complete MLOPS Cycle for a Computer Vision Project

These days, we encounter (and maybe produce on our own) many computer vision projects, where AI is the hottest topic for new technologies…Continue reading on Towards Data Science Β»

Published on: November 28, 2024 | Source: Towards Data Science favicon Towards Data Science

A quick guide to Network Science

For those who would like to learn about complex connectionsβ€”from theory to practice in PythonContinue reading on Towards Data Science Β»

Published on: November 28, 2024 | Source: Towards Data Science favicon Towards Data Science

The Most Expensive Data Science Mistake I’ve Witnessed in My Career

Why true success in machine learning goes beyond optimizing a single metricContinue reading on Towards Data Science Β»

Published on: November 28, 2024 | Source: Towards Data Science favicon Towards Data Science

Five Reasons You Cannot Afford Not Knowing Probability Proportional to Size (PPS) Sampling

Data ScienceSimple Random Sampling (SRS) works, but if you do not know Probability Proportional to Size Sampling (PPS), you are risking yourself some critical statistical mistakes. Learn why, when, and how you can use PPS Samplinghere!Photo by Justin Morgan onUnsplashRahul decides to measure the β€œpulse” of customers buying from his online store. He wanted to know how they are feeling, what is going well, and what can...

Published on: November 28, 2024 | Source: Towards Data Science favicon Towards Data Science

How to Implement Agentic RAG Using LangChain: Part 2

Learn about enhancing LLMs with real-time information retrieval and intelligent agents.

Published on: November 28, 2024 | Source: KDnuggets favicon KDnuggets

Autonomous Agent Ecosystems, Data Integration, Open Source LLMs, and Other November Must-Reads

Agent Ecosystems, Data Integration, Open Source LLMs, and Other November Must-ReadsFeeling inspired to write your first TDS post? We’re always open to contributions from newauthors.Welcome to the penultimate monthly recap of 2024β€”could we really be this close to the end of the year?! We’re sure that you, like us, are hard at work tying up loose ends and making a final push on your various projects. We have quite a few...

Published on: November 28, 2024 | Source: Towards Data Science favicon Towards Data Science

Dog Poop Compass: Bayesian Analysis of Canine Business

Dog PoopCompassA Bayesian analysis of caninebusinesstl;drDo dogs poop facing North and South? Turns out they do! Want to learn how to measure this at home using a compass app, Bayesian statistics, and one dog (dog not included)? Jumpin!IntroductionThis is my dog. His name is Auri and he is a 5 year old Cavalier King CharlesSpaniel.Auri (image byauthor)As many other dog owners, during our walks I noticed that Auri has a...

Published on: November 28, 2024 | Source: Towards Data Science favicon Towards Data Science

LLMs.txt Explained

Your guide to the web’s new LLM-ready contentstandardYou might’ve seen various dev tools adding LLMs.txt support to their docs recently. This proposed web standard is quickly gaining adoption, but what is it exactly and why does itmatter?While robots.txt and sitemap.xml are designed for search engines, LLMs.txt is optimized for reasoning engines. It provides information about a website to LLMs in a format they can...

Published on: November 28, 2024 | Source: Towards Data Science favicon Towards Data Science

5 Unconventional Sources of Data for Your Next Project

When working on a project, think beyond traditional data sources. Explore unconventional options like social media and user-generated content for fresh insights.

Published on: November 28, 2024 | Source: KDnuggets favicon KDnuggets

How Can Self-Driving Cars Work Better?

The far-reaching implications of Waymo’s EMMA and other end-to-end drivingsystemsPhoto by Andy Li onUnsplashImagine you are a hungry hiker, lost on a trail away from the city. After walking many miles, you find a road and spot a faint outline of a car coming towards you. You mentally prepare a sympathy pitch for the driver, but your hope turns to horror as you realize the car is driving itself. There is no human to...

Published on: November 28, 2024 | Source: Towards Data Science favicon Towards Data Science

Causality - Mental Hygiene for Data Science

The Power of β€˜Why?’: Enhancing Data Science with Causal Tools.Continue reading on Towards Data Science Β»

Published on: November 28, 2024 | Source: Towards Data Science favicon Towards Data Science

5 Free Courses for Mastering LLMs

Without any doubt, Large Language Models (LLMs) have emerged as one of the biggest AI breakthroughs in recent years: they excel in understanding and generating human-like text , making them versatile for a wide range of applications.

Published on: November 28, 2024 | Source: Machine Learning Mastery favicon Machine Learning Mastery

Impact of GenAI on the Software Testing Market

Could AI replace traditional software testers? Learn how Generative AI transforms their roles and supercharges testing efficiency without missing critical tests.

Published on: November 27, 2024 | Source: KDnuggets favicon KDnuggets

Level Up Your Coding Skills with Python Threading

Learn how to use queues, daemon threads, and events in a Machine Learning projectContinue reading on Towards Data Science Β»

Published on: November 27, 2024 | Source: Towards Data Science favicon Towards Data Science

How to Develop an Effective AI-Powered Legal Assistant

Create a machine-learning-based search into legal decisionsContinue reading on Towards Data Science Β»

Published on: November 27, 2024 | Source: Towards Data Science favicon Towards Data Science

Roadmap to Becoming a Data Scientist, Part 1: Maths

Identifying fundamental math skills to master for aspiring Data ScientistsContinue reading on Towards Data Science Β»

Published on: November 27, 2024 | Source: Towards Data Science favicon Towards Data Science

DIY AI: Building Your AI Apps on a Shoestring Budget

Artificial Intelligence has become an integral part of modern software applications, as it is known to add extended functionalities to traditional applications. This tutorial will guide you on a simplistic approach to building an AI application.

Published on: November 27, 2024 | Source: KDnuggets favicon KDnuggets

Why a Data Scientist with a PhD Might Kill Your Early Stage Startup

Look beyond the degree and hire smarter by prioritizing these five traits insteadContinue reading on Towards Data Science Β»

Published on: November 27, 2024 | Source: Towards Data Science favicon Towards Data Science

Introducing the New Anthropic PDF Processing API

Anthropic Claude 3.5 now understands PDF inputContinue reading on Towards Data Science Β»

Published on: November 27, 2024 | Source: Towards Data Science favicon Towards Data Science