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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXThe 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»
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How to Solve a Simple Problem With Machine Learning
A technical walkthrough of lesson oneContinue reading on Towards Data Science Β»
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»
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...
Grokking Behavioral Interviews
Master the art of behavioral interviews and land your dream jobContinue reading on Towards Data Science Β»
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 predictionsβfrom detecting objects in photos to helping doctors find diseases. But before trusting these predictions, we need to know if theyβre any good. After all, no one would want to use a machine thatβs wrong most of thetime!This is where validation comes in. Validation methods test machine...
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 βsimplyβ speeds up and standardize tasks that can...
Massive Black Friday Deals for Machine Learning Fans!
Black Friday is finally here, and so are huge savings for your machine learning journey!
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 Factsβ 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,β¦ Various data that define each product and give...
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...
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 βmake your business better in some way,β then try to find other use cases where they can slap a chatbot on and in the end...
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: Iβve 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 couldβve been replaced with a few simpleclicks.Image generated by theauthorPower Query does everything...
Water Cooler Small Talk: Simpsonβs Paradox
Is your data tricking you? What can you do about it?Continue reading on Towards Data Science Β»
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...
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.
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. Weβll end the article by...
Porting Twitterβs Anomaly Detection Algorithm To Swift
From Twitter to Swift: Building Anomaly Detection.Continue reading on Towards Data Science Β»
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.
So Itβs Your First Year in AI; Hereβs What to Expect
Sharing my experience from both AI startups and large corporatesContinue reading on Towards Data Science Β»
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 risksβlike hallucinations, and dependencies on third-party APIs.For Data Scientists and Machine Learning teams, this...
The Intuition behind Concordance IndexβββSurvival Analysis
The Intuition behind Concordance IndexβSurvivalAnalysisRanking accuracy versus absoluteaccuracyTaken by the author and her Border Collie. βBe thankful for what you have. Be fearless for what youwantβHow 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...
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 technologiesβ¦Continue reading on Towards Data Science Β»
A quick guide to Network Science
For those who would like to learn about complex connectionsβfrom theory to practice in PythonContinue reading on Towards Data Science Β»
The Most Expensive Data Science Mistake Iβve Witnessed in My Career
Why true success in machine learning goes beyond optimizing a single metricContinue reading on Towards Data Science Β»
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 βpulseβ of customers buying from his online store. He wanted to know how they are feeling, what is going well, and what can...
How to Implement Agentic RAG Using LangChain: Part 2
Learn about enhancing LLMs with real-time information retrieval and intelligent agents.
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? Weβre always open to contributions from newauthors.Welcome to the penultimate monthly recap of 2024βcould we really be this close to the end of the year?! Weβre 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...
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...
LLMs.txt Explained
Your guide to the webβs new LLM-ready contentstandardYou mightβve 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...
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.
How Can Self-Driving Cars Work Better?
The far-reaching implications of Waymoβs 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...
Causality - Mental Hygiene for Data Science
The Power of βWhy?β: Enhancing Data Science with Causal Tools.Continue reading on Towards Data Science Β»
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.
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.
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»