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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXGoogle’s Illuminate AI: A New Way to Create Your Own AI-Generated Podcasts
See how to revolutionize how you bring stories to life with AI.
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Build a Strong Portfolio for Data Science Career
Build a strong data science portfolio by showcasing technical skills, working on real-world projects, staying active on LinkedIn, and leveraging platforms like GitHub and Kaggle to demonstrate your expertise.
Roadmap to Becoming a Data Scientist, Part 2: Software Engineering
Coding your road to Data Science: mastering key development skillsContinue reading on Towards Data Science »
Linear Optimisations in Product Analytics
Solving the knapsackproblemImage generated by DALL-E3It might be surprising, but in this article, I would like to talk about the knapsack problem, the classic optimisation problem that has been studied for over a century. According to Wikipedia, the problem is defined asfollows:Given a set of items, each with a weight and a value, determine which items to include in the collection so that the total weight is less than...
The Anatomy of an Autonomous Agent
A blueprint for autonomous agents in an Agentic Mesh ecosystem.Continue reading on Towards Data Science »
Will Your Christmas Be White? Ask An AI Weather Model!
Learn how to visualize AI weather and create your own forecast for the holidaysContinue reading on Towards Data Science »
2024 in Review: What I Got Right, Where I Was Wrong, and Bolder Predictions for 2025
What I got right (and wrong) about trends in 2024 and daring to make bolder predictions for the yearaheadAI Buzzword and Trend Bingo (Image by theauthor)In 2023, building AI-powered applications felt full of promise, but the challenges were already starting to show. By 2024, we began experimenting with techniques to tackle the hard realities of making them work in production.Last year, I reviewed the biggest trends in...
The Invisible Bug That Broke My Automation: How OCR Changed The Game
The evolution of AI in test automation: from locators to generative AI (Part 3)Continue reading on Towards Data Science »
Four Career-Savers Data Scientists Should Incorporate into Their Work
You might damage your data science career progress without even realising it—but avoiding that fate isn’t too difficultContinue reading on Towards Data Science »
Dynamic Visualizations in Python
How to animate plots with OpenCV and MatplotlibTracking a ball trajectory and visualizing it’s vertical position in real-time animatedplotsIn Computer Vision a fundamental goal is to extract meaningful information from static images or video sequences. To understand these signals, it is often helpful to visualize them.For example when tracking individual cars on a highway, we could draw bounding boxes around them or in...
7 Machine Learning Projects For Beginners
The adoption of machine learning (ML) continues at a rapid pace, as it has proven itself a powerful tool for solving many problems.
FACTS Grounding: A new benchmark for evaluating the factuality of large language models
Our comprehensive benchmark and online leaderboard offer a much-needed measure of how accurately LLMs ground their responses in provided source material and avoid hallucinations
Multimodal RAG Implementation with Hugging Face
Learn how to enhance RAG models by combining text and visual inputs using Hugging Face Transformers.
10 Essential Pandas Commands for Data Preprocessing
Check out this beginner's guide to cleaning and preparing data efficiently with Python.
Epic “Crossover” Between AlphaFold 3 and GPT-4o’s Knowledge of Protein Data Bank Entries
Exploring how GPT-4o’s knowledge of the Protein Data Bank coupled to systems like AlphaFold 3 could allow for new ways to search and study…Continue reading on Towards Data Science »
Deep Dive into LlamaIndex Workflow: Event-Driven LLM Architecture
Progress and shortcomings after practiceContinue reading on Towards Data Science »
Four Signs It’s Time to Leave Your Data Science Job
Four tell-tale signs that you should look for another jobContinue reading on Towards Data Science »
A Case for Bagging and Boosting as Data Scientists’ Best Friends
Leveraging wisdom of the crowd in ML models.Continue reading on Towards Data Science »
The Essential Guide to R and Python Libraries for Data Visualization
Let’s dive into the most important libraries in R and Python to visualise data and create different charts, and what the pros and cons areContinue reading on Towards Data Science »
CData recognized in the 2024 Gartner® Magic Quadrant™ for Data Integration Tools
Get the Full 2024 Gartner Magic Quadrant Data Integration Report.
Top 10 Data & AI Trends for 2025
Agentic AI, small data, and the search for value in the age of the unstructured datastack.Image credit: MonteCarloAccording to industry experts, 2024 was destined to be a banner year for generative AI. Operational use cases were rising to the surface, technology was reducing barriers to entry, and general artificial intelligence was obviously right around thecorner.So… did any of thathappen?Well, sort of. Here at the...
State-of-the-art video and image generation with Veo 2 and Imagen 3
We’re rolling out a new, state-of-the-art video model, Veo 2, and updates to Imagen 3. Plus, check out our new experiment, Whisk.
An Introduction to Dask: The Python Data Scientist’s Power Tool
Ever wondered how to handle large data without slowing down your computer? Let’s learn about Dask, a tool that helps you work with large data quickly.
15 Useful Python One-Liners for String Manipulation
In this article, we'll explore 15 Python one-liners that make string manipulation not just efficient but also fun.
Learn to Code with GitHub
Improve your coding skills with GitHub, a platform that offers free tutorials, code examples, roadmaps, projects, and comprehensive guides.
How to Make Extremely Beautiful Charts with Python
The average data visualization still looks meh. Some tweaks can provide a serious upgrade.Continue reading on Towards Data Science »
How to Quickly Deploy Machine Learning Models with Streamlit
This article will navigate you through the deployment of a simple machine learning (ML) for regression using Streamlit.
Credit Card Fraud Detection with Different Sampling Techniques
How to deal with imbalanced dataPhoto by Bermix Studio onUnsplashCredit card fraud detection is a plague that all financial institutions are at risk with. In general fraud detection is very challenging because fraudsters are coming up with new and innovative ways of detecting fraud, so it is difficult to find a pattern that we can detect. For example, in the diagram all the icons look the same, but there one icon that...
API Design of X (Twitter) Home Timeline
How X (Twitter) Designed Its Home Timeline API: Lessons toLearnA closer look at X’s API: fetching data, linking entities, and solving under-fetching.When designing a system’s API, software engineers often evaluate various approaches, such as REST vs RPC vs GraphQL, or hybrid models, to determine the best fit for a specific task or project. These approaches define how data flows between the backend and frontend, as well...
Bayes’ Theorem: Understanding business outcomes with evidence
A practical introduction to Bayes’ Theorem: Probability for Data Science Series (2)Continue reading on Towards Data Science »
Bayes’ Theorem: Understanding Business Outcomes with Evidence
A practical introduction to Bayes’ Theorem: Probability for Data Science Series (2)Continue reading on Towards Data Science »
Data Valuation — A Concise Overview
Understanding the Value of your Data: Challenges, Methods, and ApplicationsChatGPT and similar LLMs were trained on insane amounts of data. OpenAI and Co. scraped the internet, collecting books, articles, and social media posts to train their models. It’s easy to imagine that some of the texts (like scientific or news articles) were more important than others (such as random Tweets). This is true for almost any dataset...
A Design Researcher’s Guide to Publishing
A Guide to Publishing Human-Computer Interaction (HCI) and Design ResearchPapersTurn ‘publish or perish’ into ‘learn, write, andshare’When I first started my PhD three years ago, I was very new to the world of academia and the process of publishing in journals and conferences. Coming from Computer Engineering, my PhD involved design research, and I felt that the publishing process for human-computer interaction,...
Build a Document AI pipeline for ANY type of PDF With Gemini
Build a Document AI Pipeline for Any Type of PDF withGeminiTables, Images, figures or equations are not problem anymore! Full Code provided.Photo by Matt Noble onUnsplashAutomated document processing is one of the biggest winners of the ChatGPT revolution, as LLMs are able to tackle a wide range of subjects and tasks in a zero-shot setting, meaning without in-domain labeled training data. This has made building...
How Have Data Science Interviews Changed Over 4 Years?
An aggregated look on the differences between then & now: 2020 vs 2024—some big frustrations and positive learnings.Continue reading on Towards Data Science »