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A Beginnerβs Guide to Building Models in 15 Practical StepsContinue reading on Towards Data Science Β»
Text analytics hints at how volumes of writing getcreatedIn the broadest of strokes, Natural Language Processing transforms language into constructs that can be usefully manipulated. Since deep-learning embeddings have proven so powerful, theyβve also become the default: pick a model, embed your data, pick a metric, do some RAG. To add new value, it helps to have a different take on crunching language. The one Iβll...
A Step-by-Step Guide to Creating Multi-Agent Frameworks in the Age of Generative AIContinue reading on Towards Data Science Β»
Learn how to write and run effective unit tests in Python using PyTest, ensuring your code is reliable and bug-free.
A 5-step roadmap for todayβs landscapeToday, more people than ever are trying to learn AI. Although there are countless free learning resources online, navigating this rapidly evolving landscape can be overwhelming (especially as a beginner). In this article, I discuss how Iβd approach learning AI, given what I know now and the tools available today.Image fromCanva.Who is thisfor?Given the wide range of backgrounds...
Because itβs fun to self-organiseContinue reading on Towards Data Science Β»
Improve your SQL querying skills in BigQuery with these advanced querying templates.
Learn how to implement the Ensemble Kalman Filter for data assimilation, with mathematical details step-by-step code.Continue reading on Towards Data Science Β»
Letβs see how many stars weβll collect.Continue reading on Towards Data Science Β»
Podcasts are a fun and easy way to learn about machine learning.
In this article we will explore why 128K tokens and more models canβt fully replace using RAG.Continue reading on Towards Data Science Β»
Speed up your LLM inferenceContinue reading on Towards Data Science Β»
CV VideoPlayerβOnce and ForAllA Python video player package made for computer visionresearchImage byauthorWhen developing computer vision algorithms, the journey from concept to working implementation often involves countless iterations of watching, analyzing, and debugging video frames. As I dove deeper into computer vision projects, I found myself repeatedly writing the same boilerplate code for video visualization...
10 essential steps, from data exploration to model deployment.Continue reading on Towards Data Science Β»
Master essential data cleaning techniques to improve machine learning models, from handling missing data to feature selection, using a real-world project.
We humans are proud creaturesContinue reading on Towards Data Science Β»
Let's learn how to use LayoutLM with Hugging Face Transformers
On the virtues of radical simplicityA simple landscape. From Unsplash.This is the first in a two-part series on using SQLite for machine learning. In this article, I dive into why SQLite is rapidly becoming a production-ready database. In the second article, I will discuss how to perform retrieval-augmented-generation usingSQLite.If youβd like a custom web application with generative AI integration, visit...
Feeling inspired to write your first TDS post before the end of 2024? Weβre always open to contributions from newauthors.Our guiding principle is that itβs never a bad time to learn new things, but we also know that different moments call for different types of learning. Here at TDS, weβve traditionally published lots of hands-on, roll-up-your-sleeves guides and tutorials as soon as we kick off a new yearβand weβre...
Introduction to activation functions and an overview of the most famous functionsContinue reading on Towards Data Science Β»
Using LightGBM, kNN and AutoEncoders for imputation and improving them further via iterative method MICEContinue reading on Towards Data Science Β»
Combining lightweight design with high forecasting accuracyContinue reading on Towards Data Science Β»
DATA SCIENCEIncluding resources for how to build thoseskillsImage by Author. Created using MidjourneyIf you have been a data scientist for a while, sooner or later youβll notice that your day-to-day has shifted from a VSCode-loving, research paper-reading, git-version-committing data scientist to a collaboration-driving, project-scoping, stakeholder-managing, and strategy-setting individual.This shift will be gradual...
We have four new learning paths to help meet you, wherever you are, and take you to the next level of AI and analytics maturity.
Leveraging GPT-3.5 and unstructured APIs for translationsThis blog post details how I utilised GPT to translate the personal memoir of a family friend, making it accessible to a broader audience. Specifically, I employed GPT-3.5 for translation and Unstructuredβs APIs for efficient content extraction and formatting.The memoir, a heartfelt account by my family friend Carmen Rosa, chronicles her upbringing in Bolivia and...
A practical guide to designing clear, effective, and actionable dashboards for decision-makingContinue reading on Towards Data Science Β»
Learn the key steps to train a transformer-based text classification model from scratch.
Letβs see how many stars weβll collect.Continue reading on Towards Data Science Β»
Today, weβre announcing Gemini 2.0, our most capable multimodal AI model yet.
Deprioritizing quality sacrifices both software stability and velocity, leading to costly issues. Investing in quality boosts speed and outcomes.Image by the author. (AI generated Midjourney)Investing in software quality is often easier said than done. Although many engineering managers express a commitment to high-quality software, they are often cautious about allocating substantial resources toward quality-focused...
Learn how the whole data science process works to achieve the optimal result.
βIf you try it, you might wanna buy it.βContinue reading on Towards Data Science Β»
Customizing neural networks to fit price-response functionsContinue reading on Towards Data Science Β»
Overcoming AI implementation challenges requires a strategic approach, focusing on data quality, skilled talent, and ethical governance, as demonstrated by early adopters.
Discover how DDPG solves the puzzle of continuous action control, unlocking possibilities in AI-driven medical robotics.Imagine youβre controlling a robotic arm in a surgical procedure. Discrete actions mightbe:Move up,Move down,Grab, orReleaseThese are clear, direct commands, easy to execute in simple scenarios.But what about performing delicate movements, suchas:Move the arm by 0.5 mm to avoid damaging the...