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How to Process 10k Images in Seconds
Efficient image operations with multiprocessing in PythonContinue reading on Towards Data Science ยป
Published on: January 02, 2025 | Source:
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5 Simple Projects to Start Today: A Learning Roadmap for Data Engineering
Start with 5 practical projects to lay the foundation for your data engineering roadmap.Continue reading on Towards Data Science ยป
Published on: January 02, 2025 | Source:LLM Evaluation Metrics Made Easy
Metrics are a cornerstone element in evaluating any AI system, and in the case of large language models (LLMs), this is no exception.
Published on: January 02, 2025 | Source:7 Machine Learning Trends to Watch in 2025
Machine learning is now the cornerstone of recent technological progress, which is especially true for the current generative AI stampede.
Published on: January 01, 2025 | Source:AI-Powered Information Extraction and Matchmaking
Developing an application for extracting key profile information from CVs and recommending jobs aligned with the profileContinue reading on Towards Data Science ยป
Published on: January 01, 2025 | Source:Scaling Statistics: Incremental Standard Deviation in SQL with dbt
Why scan yesterdayโs data when you can increment todayโs?Image by theauthorSQL aggregation functions can be computationally expensive when applied to large datasets. As datasets grow, recalculating metrics over the entire dataset repeatedly becomes inefficient. To address this challenge, incremental aggregation is often employedโa method that involves maintaining a previous state and updating it with new incoming data....
Published on: January 01, 2025 | Source:GDD: Generative Driven Design
Reflective generative AI software components as a development paradigmNowhere has the proliferation of generative AI tooling been more aggressive than in the world of software development. It began with GitHub Copilotโs supercharged autocomplete, then exploded into direct code-along integrated tools like Aider and Cursor that allow software engineers to dictate instructions and have the generated changes applied live,...
Published on: January 01, 2025 | Source:Transforming Data into Solutions: Building a Smart App with Python and AI
Some financial analysts worry that artificial intelligence may not justify the massive investments being made in the field. While I understand their concerns, I see things differently. Iโm neither an AI Boomer nor an AI DoomerโI believe AI has the potential to drive innovation, enhance productivity, and deliver measurable business outcomes.In my last article, I explored how Large Language Models (LLMs) can be used to...
Published on: January 01, 2025 | Source:Multi-Agentic RAG with Hugging Face Code Agents
Using Qwen2.5โ7B-Instruct powered code agents to create a local, open source, multi-agentic RAGsystemPhoto by Jaredd Craig onUnsplashLarge Language Models have shown impressive capabilities and they are still undergoing steady improvements with each new generation of models released. Applications such as chatbots and summarisation can directly exploit the language proficiency of LLMs as they are only required to...
Published on: December 31, 2024 | Source:Stop the Count! Why Putting A Time Limit on Metrics is Critical for Fast and Accurate Experiments
Why your experiments might never reach significancePhoto by Andrik Langfield onUnsplashIntroductionExperiments usually compare the frequency of an event (or some other sum metric) after either exposure (treatment) or non-exposure (control) to some intervention. For example: we might compare the number of purchases, minutes spent watching content, or number of clicks on a call-to-action.While this setup may seem plain,...
Published on: December 31, 2024 | Source:Partial Dependence Plots: How to Discover Variables Influencing a Model
Have you ever wondered how machine learning models are constructed? โExplainability of machine learning modelsโ and โmachine learningโฆContinue reading on Towards Data Science ยป
Published on: December 31, 2024 | Source:Top 12 Skills Data Scientists Need to Succeed in 2025
Itโs (not) all about LLMs and AI toolsContinue reading on Towards Data Science ยป
Published on: December 31, 2024 | Source:Creating SMOTE Oversampling from Scratch
A Python tutorial on how to implement oversampling and how to make custom variationsContinue reading on Towards Data Science ยป
Published on: December 31, 2024 | Source:Paradigm Shifts of Eval in the Age of LLM
Paradigm Shifts of Eval in the Age ofLLMsLLMs requires some subtle, conceptually simple, yet important changes in the way we think about evaluationIโve been building evaluation for ML systems throughout my career. As head of data science at Quora, we built eval for feed ranking, ads, content moderation, etc. My team at Waymo built eval for self-driving cars. Most recently, at our fintech startup Coverbase, we use LLMs...
Published on: December 31, 2024 | Source:The Most Popular KDnuggets Articles of 2024
Let's have a look at the most popular articles on KDnuggets this past year. How many have you read?
Published on: December 31, 2024 | Source:The Math Behind In-Context Learning
From attention to gradient descent: unraveling how transformers learn fromexamplesIn-context learning (ICL)โa transformerโs ability to adapt its behavior based on examples provided in the input promptโhas become a cornerstone of modern LLM usage. Few-shot prompting, where we provide several examples of a desired task, is particularly effective at showing an LLM what we want it to do. But hereโs the interesting part:...
Published on: December 31, 2024 | Source:The Key to Smarter Models: Tracking Feature Histories
Capture context and improve predictions with historical dataContinue reading on Towards Data Science ยป
Published on: December 31, 2024 | Source:Lessons from COVID-19: Why Probability Distributions Matter
Understanding Distributions with Extremes: Probability for Data Science Series (END)Continue reading on Towards Data Science ยป
Published on: December 31, 2024 | Source:From Default Python Line Chart to Journal-Quality Infographics
Transform boring default Matplotlib line charts into stunning, customized visualizationsCover, image by theAuthorEveryone who has used Matplotlib knows how ugly the default charts look like. In this series of posts, Iโll share some tricks to make your visualizations stand out and reflect your individual style.Weโll start with a simple line chart, which is widely used. The main highlight will be adding a gradient fill...
Published on: December 30, 2024 | Source:How to Ensure the Stability of a Model Using Jackknife Estimation
How to ensure the robustness of a model and detect influential data observationsContinue reading on Towards Data Science ยป
Published on: December 30, 2024 | Source:Building a Custom AI Jira Agent
How I used Google Mesop, Django, LangChain Agents, CO-STAR & Chain-of-Thought (CoT) prompting combined with the Jira API to better automateJiraPhoto by Google DeepMind onUnsplashThe inspiration for this project came from hosting a Jira ticket creation tool on a web application I had developed for internal users. I also added automated Jira ticket creation upon systemerrors.Users and system errors often create...
Published on: December 30, 2024 | Source:Mastering Model Uncertainty: Thresholding Techniques in Deep Learning
Image generated byDall-eA few words on thresholding, the softmax activation function, introducing an extra label, and considerations regarding output activation functions.In many real-world applications, machine learning models are not designed to make decisions in an all-or-nothing manner. Instead, there are situations where it is more beneficial for the model to flag certain predictions for human reviewโa process...
Published on: December 30, 2024 | Source:How to Build a Resume Optimizer with AI
Step-by-step guide with example PythoncodeIn a previous blog post, I shared 5 AI Projects You Can Build This Weekend, where the first project idea was a resume optimization tool. Since then, many people have asked for more guidance on implementing this project. In this article, Iโll walk through an example implementation using Python and OpenAIโsAPI.Image from...
Published on: December 30, 2024 | Source:Job Hunting in 2025: What You Need to Know
This is a quick shortlist to make sure youโre ticking off the essentials for your job hunt in 2025.
Published on: December 30, 2024 | Source:How to Build a Graph RAG App
Image byAuthorUsing knowledge graphs and AI to retrieve, filter, and summarize medical journalarticlesThe accompanying code for the app and notebook arehere.Knowledge graphs (KGs) and Large Language Models (LLMs) are a match made in heaven. My previous posts discuss the complementarities of these two technologies in more detail but the short version is, โsome of the main weaknesses of LLMs, that they are black-box...
Published on: December 30, 2024 | Source:I Combined the Blockchain and AI to Generate Art. Hereโs What Happened Next.
Using LLMs to create artistic representations of dataContinue reading on Towards Data Science ยป
Published on: December 30, 2024 | Source:Ten predictions for data science and AI in 2025
On agents, open source models, safety, and moreContinue reading on Towards Data Science ยป
Published on: December 30, 2024 | Source:Machine Learning Salaries and Job Market Analysis for 2024 and Beyond
One of the most talked-about niches in tech is machine learning (ML), as developments in this area are expected to have a significant impact on IT as well as other industries.
Published on: December 30, 2024 | Source:Introducing n-Step Temporal-Difference Methods
Dissecting โReinforcement Learningโ by Richard S. Sutton with custom Python implementations, Episode VContinue reading on Towards Data Science ยป
Published on: December 29, 2024 | Source:Superposition: What Makes it Difficult to Explain Neural Network
When there are more features than model dimensionsIntroductionIt would be ideal if the world of neural network represented a one-to-one relationship: each neuron activates on one and only one feature. In such a world, interpreting the model would be straightforward: this neuron fires for the dog ear feature, and that neuron fires for the wheel of cars. Unfortunately, that is not the case. In reality, a model with...
Published on: December 29, 2024 | Source:Segmenting Water in Satellite Images Using Paligemma
Some insights on using Googleโs latest Vision LanguageModelHutt Lagoon, Australia. Depending on the season, time of day, and cloud coverage, this lake changes from red to pink or purple. Source: GoogleMaps.Multimodal models are architectures that simultaneously integrate and process different data types, such as text, images, and audio. Some examples include CLIP and DALL-E from OpenAI, both released in 2021. CLIP...
Published on: December 29, 2024 | Source:Deep Dive into Multithreading, Multiprocessing, and Asyncio
How to choose the right concurrency modelImage by Paul Esch-Laurent fromUnsplashPython provides three main approaches to handle multiple tasks simultaneously: multithreading, multiprocessing, andasyncio.Choosing the right model is crucial for maximising your programโs performance and efficiently using system resources. (P.S. It is also a common interview question!)Without concurrency, a program processes only one task...
Published on: December 28, 2024 | Source:Measuring Cross-Product Adoption Using dbt_set_similarity
Enhancing cross-product insights within dbt workflowsIntroductionFor multi-product companies, one critical metric is often what is called โcross-product adoptionโ. (i.e. understanding how users engage with multiple offerings in a given product portfolio)One measure suggested to calculate cross-product or cross-feature usage in the popular book Hacking Growth [1] is the Jaccard Index. Traditionally used to measure the...
Published on: December 28, 2024 | Source:Building Trust in LLM Answers: Highlighting Source Texts in PDFs
100% accuracy isnโt everything: helping users navigate the document is the real valueContinue reading on Towards Data Science ยป
Published on: December 27, 2024 | Source:Introduction to the Finite Normal Mixtures in Regression with
Introduction to the Finite Normal Mixtures in Regression withRHow to make linear regression flexible enough for non-linear dataThe linear regression is usually considered not flexible enough to tackle the nonlinear data. From theoretical viewpoint it is not capable to dealing with them. However, we can make it work for us with any dataset by using finite normal mixtures in a regression model. This way it becomes a very...
Published on: December 27, 2024 | Source: