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A Guide To Time-Series Sensor Data Classification using UCI HAR Data
A Guide to Time-Series Sensor Data Classification Using UCI HARDataUsing TS-Fresh, scikit-learn, and Data Studio to classify sensordataImage byauthorThe world is full of sensors generating time-series data, and extracting meaningful insights from this data is a crucial skill in todayโs data-driven world. This article provides a hands-on guide to classifying human activity using sensor data and machine learning. Weโll...
Published on: January 27, 2025 | Source:
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Extracting Structured Vehicle Data from Images
Build an Automated Vehicle Documentation System that Extracts Structured Information from Images, using OpenAI API, LangChain and Pydantic.Image was generated by author onPicLumenIntroductionImagine there is a camera monitoring cars at an inspection point, and your mission is to document complex vehicle detailsโtype, license plate number, make, model and color. The task is challengingโclassic computer vision methods...
Published on: January 27, 2025 | Source:Is ChatGPT Pro Worth The $200 Per Month?
Think twice before you start to pay $200 a month!
Published on: January 27, 2025 | Source:10 Advanced Python Tricks for Data Scientists
Master cleaner, faster code with these essential techniques to supercharge your data workflows.
Published on: January 27, 2025 | Source:Using DeepSeek-R1 Locally
Run powerful reasoning models locally, matching the performance of OpenAI's o1 capabilities, completely free, and avoid paying $200 a month for a pro subscription.
Published on: January 27, 2025 | Source:Kernel Methods in Machine Learning with Python
Kernel methods are a powerful class of machine learning algorithm that allow us to perform complex, non-linear transformations of data without explicitly computing the transformed feature space.
Published on: January 27, 2025 | Source:Your Neural Network Canโt Explain This. TMLE to the Rescue!
Targeted Maximum Likelihood Estimation (TMLE) helps you explain patterns where other techniques fall shortContinue reading on Towards Data Science ยป
Published on: January 26, 2025 | Source:Optimising Budgets With Marketing Mix Models In Python
Part 3 of a hands-on guide to help you master MMM inpymcPhoto by Towfiqu barbhuiya onUnsplashWhat is this seriesabout?Welcome to part 3 of my series on marketing mix modelling (MMM), a hands-on guide to help you master MMM. Throughout this series, weโll cover key topics such as model training, validation, calibration and budget optimisation, all using the powerful pymc-marketing python package. Whether youโre new to...
Published on: January 26, 2025 | Source:How Cheap Mortgages Transformed Polandโs Real Estate Market
Insights from a synthetic control groupContinue reading on Towards Data Science ยป
Published on: January 25, 2025 | Source:Choosing Classification Model Evaluation Criteria
Is Recall / Precision better than Sensitivity / Specificity?Continue reading on Towards Data Science ยป
Published on: January 25, 2025 | Source:YOU SEE AN LLM HERE: Integrating Language Models Into Your Text Adventure Games
Text-based adventure games have a timeless appeal.
Published on: January 24, 2025 | Source:Understanding Emergent Capabilities in LLMs: Lessons from Biological Systems
How natural systems fundamental laws help explain AIโs unexpected abilitiesContinue reading on Towards Data Science ยป
Published on: January 24, 2025 | Source:Deep Learning for Click Prediction in Mobile AdTech
Source: https://pixabay.com/illustrations/rays-stars-light-explosion-galaxy-9350519/Machine Learning for Real-Time BiddingThe past few years were a revolution for the mobile advertising and gaming industries, with the broad adoption of neural networks for advertising tasks, including click prediction. This migration occurred prior to the success of Large Language Models (LLMs) and other AI innovations, but is building...
Published on: January 24, 2025 | Source:Collaborative Intelligence: Maximizing Human-AI Partnerships in the Workplace
Collaborative intelligence encourages humans and AI to work together, combining human creativity with AI's speed and accuracy for better productivity and innovation.
Published on: January 24, 2025 | Source:Multi-Headed Cross AttentionโโโBy Hand
Hand computing a fundamental component of multimodal modelsContinue reading on Towards Data Science ยป
Published on: January 24, 2025 | Source:Whatโs the Real ROI of AI in 2025?
Will AI's investment match up with the benefits?
Published on: January 24, 2025 | Source:A Data Scientistโs Guide to Debugging Common Pandas Errors
Check out this hands-on guide to resolving the most frequent pandas errors in Python data science workflows.
Published on: January 24, 2025 | Source:Does It Matter That Online Experiments Interact?
What interactions do, why they are just like any other change in the environment post-experiment, and some reassurancePhoto by Uriel Soberanes onUnsplashExperiments do not run one at a time. At any moment, hundreds to thousands of experiments run on a mature website. The question comes up: what if these experiments interact with each other? Is that a problem? As with many interesting questions, the answer is โyes and...
Published on: January 24, 2025 | Source:Avoid These Easily Missed Mistakes in Machine Learning WorkflowsโโโPart 2
Using Unavailable Data at Prediction Time and Mixing Magic Numbers with Real NumbersContinue reading on Towards Data Science ยป
Published on: January 24, 2025 | Source:A Derivation and Application of Restricted Boltzmann Machines (2024 Nobel Prize)
Investigating Geoffrey Hintonโs Nobel Prize-winning work and building it from scratch usingPyTorchOne recipient of the 2024 Nobel Prize in Physics was Geoffrey Hinton for his contributions in the field of AI and machine learning. A lot of people know he worked on neural networks and is termed the โGodfather of AIโ, but few understand his works. In particular, he pioneered Restricted Boltzmann Machines (RBMs) decades...
Published on: January 23, 2025 | Source:Apollo and Design Choices of Video Large Multimodal Models (LMMs)
Letโs Explore Major Design Choices from Metaโs Apollo PaperContinue reading on Towards Data Science ยป
Published on: January 23, 2025 | Source:On a Time Crunch but Still Want to Learn to Develop Multi-Agent AI?
These 3 starter projects only take a weekend (and a few cups of coffee, maybe)Continue reading on Towards Data Science ยป
Published on: January 23, 2025 | Source:The Basics you Must Master Before Diving into Marketing & Product Analytics
Things that still confuse many DataAnalystsRecently, I gave a presentation on a specific topic: how to investigate drop-offs in conversion funnels within the context of marketing and product analysis.What surprised me? The incredible engagement from the audience. The questions were varied and not just from Data Analysts. Even Data Engineers were curious about how the data they collect is used to make strategic...
Published on: January 23, 2025 | Source:The Solar Cycle(s): history, data analysis and trend forecasting.
The Solar Cycle(s): History, Data Analysis and Trend ForecastingA brief article on the Solar Cycles, the history behind their observation, data analysis and time series forecasting for the incoming solar maximum in 2025โ2026 and the nextdecadesYou have probably heard about the 11-year Solar Cycle and about solar maximums and minimums at some point in your lifeโevery 11 years, solar activity peaks, with more auroras in...
Published on: January 23, 2025 | Source:Simplicity Over Black Boxes
Turning complex ML models into simple, interpretable rules with Human Knowledge Models for actionable insights and easy inferenceCover, image byAuthorModern machine learning has delivered incredible breakthroughs in lots of fields. These successes come from advanced models that can uncover intricate patterns in massive datasets.But thereโs one area where this approach falls short: easy interpretation. Most ML models,...
Published on: January 23, 2025 | Source:A Guide to Deploying Machine Learning Models to Production
Letโs learn how to move your model from development into production.
Published on: January 23, 2025 | Source:Building Successful AI Apps: The Dos and Donโts
As businesses and organizations scramble to find good use cases for AI, several crucial questions consistently emerge: do you even need AI-powered tools? How should you go about building or integrating them into your existing workflows? And how will you know if the effort was worthit?Whether youโre an independent practitioner or part of a larger team trying to make sense of this emerging technology, youโll find...
Published on: January 23, 2025 | Source:Real World Use Cases: Strategies that Will Bridge the Gap Between Development and Productionizing
Image generated by Dall-e. All images and visualisations in this article are created by theauthor.Data science demonstrates its value when applied to practical challenges. This article shares insights gained from hands-on machine learning projects.In my experience with machine learning and data science, transitioning from development to production is a critical and challenging phase. This process typically unfolds in...
Published on: January 23, 2025 | Source:Stop! Do This Before Applying for Jobs
Learn these 3 simple (but lengthy) steps that you need to take before applying for jobs.
Published on: January 23, 2025 | Source:Nine Pico PIO Wats with MicroPython (Part 1)
Raspberry Pi programmable IO pitfalls illustrated with a musicalexamplePico PIO SurprisesโSource: https://openai.com/dall-e-2/. All other figures from theauthor.In JavaScript and other languages, we call a surprising or inconsistent behavior a โWat!โ [that is, a โWhat!?โ]. For example, in JavaScript, an empty array plus an empty array produces an empty string, [] + [] === "".Wat!Python, by comparison, is more...
Published on: January 23, 2025 | Source:Behind the Scenes of a Successful Data Analytics Project
Learn the steps to approach any data analytics project like apro.Having worked as a data analyst for a while and tackled numerous projects, I can say that even though each project is unique, there is always a proven way to approachit.Today, Iโll share with you the steps I usually take when working on a data project so you can follow themtoo.Step 1: Define the Problem and ObjectivesYou cannot solve a problem or answer a...
Published on: January 23, 2025 | Source:Understanding RAG Part IV: RAGAs & Other Evaluation Frameworks
Be sure to check out the previous articles in this series: โข
Published on: January 23, 2025 | Source:Harmonizing and Pooling Datasets for Health Research in R
R code to extract data from unique datasets and combine them in one harmonized dataset ready for seamless analysisContinue reading on Towards Data Science ยป
Published on: January 22, 2025 | Source:Topic Modelling in Business Intelligence: FASTopic and BERTopic in Code
A comparison of two cutting-edge dynamic topic models solving consumer complaints classification exerciseContinue reading on Towards Data Science ยป
Published on: January 22, 2025 | Source:Optimize the dbt Doc Function with a CI
How to set an automated check to improve your dbt documentationImage by the author (generated withchatgpt)In large dbt projects, maintaining consistent and up-to-date documentation can be a challenge. Although dbtโs {{ doc() }} function allows you to store and reuse descriptions for the columns of your models, ensuring its usage remains quite a manual process and prone to mistakes, and therefore can easily lead to...
Published on: January 22, 2025 | Source: