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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXDeep Dive into WebSockets and Their Role in Client-Server Communication
How WebSockets work, its tradeoffs, and how to design a real time messaging app The post Deep Dive into WebSockets and Their Role in Client-Server Communication appeared first on Towards Data Science.
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The 2025 Machine Learning Toolbox: Top Libraries and Tools for Practitioners
2024 was the year machine learning (ML) and artificial intelligence (AI) went mainstream, affecting peoples' lives in ways they never before could have.
A Complete Introduction to Using BERT Models
Overview This post is divided into five parts; they are: • Why BERT Matters • Understanding BERT's Input/Output Process • Your First BERT Project • Real-World Projects with BERT • Named Entity Recognition System Why BERT Matters Imagine you're teaching someone a new language.
Awesome Plotly with code series (Part 9): To dot, to slope or to stack?
Simple methods to replace cluttered bar charts with crisp, reader-friendly visuals. The post Awesome Plotly with code series (Part 9): To dot, to slope or to stack? appeared first on Towards Data Science.
5 Essential Tips Learned from My Data Science Journey
Personal reflections on my 10-year data odysseyContinue reading on Towards Data Science »
The Cultural Backlash Against Generative AI
What’s making many people resent generative AI, and what impact does that have on the companies responsible?Photo by Joshua Hoehne onUnsplashThe recent reveal of DeepSeek-R1, the large scale LLM developed by a Chinese company (also named DeepSeek), has been a very interesting event for those of us who spend time observing and analyzing the cultural and social phenomena around AI. Evidence suggests that R1 was trained...
How to Make a Data Science Portfolio That Stands Out
Create a data science portfolio with Cloud-flare and HUGOContinue reading on Towards Data Science »
Improving Agent Systems & AI Reasoning
DeepSeek-R1, OpenAI o1 & o3, Test-Time Compute Scaling, Model Post-Training and the Transition to Reasoning Language Models(RLMs)Image by author and GPT-4o meant to represent DeepSeek and other competitive GenAI model providersIntroductionOver the past year generative AI adoption and AI Agent development have skyrocketed. Reports from LangChain show that 51% of respondents are using AI Agents in production, while...
New-Generation Marketing Mix Modelling with Meridian
A quick introduction to the latest MMM framework fromGoogle.Photo by Naser Tamimi onUnsplashWhat is MMM?How does Meridian differ from previous MMM?A practical use case withMeridianWhat is MMM?Marketing Mix Modeling is an old statistical approach that tries to understand the impact of marketing campaigns on KPIs such as sales, conversions andtraffic.Every MMM model is basically a regression, in which the regressors...
Sparse AutoEncoder: from Superposition to interpretable features
Disentangle features in complex Neural Network with superpositionsComplex neural networks, such as Large Language Models (LLMs), suffer quite often from interpretability challenges. One of the most important reasons for such difficulty is superposition—a phenomenon of the neural network having fewer dimensions than the number of features it has to represent. For example, a toy LLM with 2 neurons has to present 6...
Injecting domain expertise into your AI system
How to connect the dots between AI technology and reallife(Source: GettyImages)When starting their AI initiatives, many companies are trapped in silos and treat AI as a purely technical enterprise, sidelining domain experts or involving them too late. They end up with generic AI applications that miss industry nuances, produce poor recommendations, and quickly become unpopular with users. By contrast, AI systems that...
Are Data Scientists at Risk in 2025?
The impact of AI on data science jobs.Continue reading on Towards Data Science »
Rapid Data Visualization with Copilot and Plotly
Code visualizations quickly and efficiently with Copilot, Plotly, and StreamlitContinue reading on Towards Data Science »
DeepSeek V3: A New Contender in AI-Powered Data Science
How DeepSeek’s budget-friendly AI model stacks up against ChatGPT, Claude, and Gemini in SQL, EDA, and machine learningContinue reading on Towards Data Science »
Using LLamaIndex Workflow to Implement an Agent Handoff Feature Like OpenAI Swarm
Example: a customer service chatbot projectContinue reading on Towards Data Science »
How I Built My First AI-Powered Web App in 20 Minutes
A beginner’s guide to building your AI-driven web application without front-end development skills.Continue reading on Towards Data Science »
Fine-tuning Multimodal Embedding Models
Adapting CLIP to YouTube Data (with PythonCode)This is the 4th article in a larger series on multimodal AI. In the previous post, we discussed multimodal RAG systems, which can retrieve and synthesize information from different data modalities (e.g. text, images, audio). There, we saw how we could implement such a system using CLIP. One issue with this approach, however, is that vector search results from a...
How Likely Is a Six Nations Grand Slam in 2025?
Quantifying uncertainty in sportsfixturesPhoto by Thomas Serer onUnsplashIntroductionFor rugby fans the long wait is nearly over, like Christmas the Six Nations comes once a year to lift our spirits in the cold winter months. If you’re not very familiar with rugby, the Six Nations is an annual tournament where the top national sides in Europe (England, France, Ireland, Italy, Scotland, Wales) each play five fixtures...
Can Machines Dream? On the Creativity of Large Language Models
Exploring the Role of Hallucinations, Dependencies, and Imagination in AI CreativityContinue reading on Towards Data Science »
Inequality in Practice: E-commerce Portfolio Analysis
From Mathematical Theory to Actionable Insights: A 6-Year Shopify CaseStudyImage generated by DALL-E, based on author’s prompt, inspired by “The Bremen Town Musicians”Are your top-selling products making or breaking your business?It’s terrifying to think your entire revenue might collapse if one or two products fall out of favor. Yet spreading too thin across hundreds of products often leads to mediocre results and...
2-Bit VPTQ: 6.5x Smaller LLMs While Preserving 95% Accuracy
Very accurate 2-bit quantization for running 70B LLMs on a 24 GB GPUContinue reading on Towards Data Science »
Align Your Data Architecture for Universal Data Supply
Follow me through the steps on how to evolve your architecture to align with your business needsContinue reading on Towards Data Science »
From Text to Code: Enhancing RAG with Adaptive Prompt Engineering
Extracting relevant data from structured tables required more than a standard RAG approach. We enhanced prompt engineering with indexed term suggestions, contextual row retrieval, and dynamic few-shot examples to generate reliable Pandas queries, making our system both accurate and efficient.Co-authored by Michael LeshchinskyClalit is Israel’s largest Health Maintenance Organization—it serves both as the insurer and as...
The AI Product Manager
An introduction to an exciting role leading impact with AIContinue reading on Towards Data Science »
The . Extension is Now a Thing in Python ?
Transform your.py files into. modulesContinue reading on Towards Data Science »
AI Development vs Software Engineering: Key Differences Explained
Why Treating AI Projects Like Traditional Software Development Limits Your Team’s Potential forSuccessHaving worked in and led many Artificial Intelligence (AI) and software engineering teams, I’ve noticed major misunderstandings about how these teams work, in particular, the assumption that these processes are thesame.Although some believe that the development of AI is the same as the development of standard software...
7 Tools To Help Write Better Python Code
Want to focus on writing useful Python applications without worrying about code quality? Let these tools do the heavy lifting for you!
Top 5 LLMs to Use According to FACTS Leaderboard
Explore the most factually accurate and reliable large language models.
Distributed Tracing: A Powerful Approach to Debugging Complex Systems
Why distributed tracing is the key to resolving performance issuesContinue reading on Towards Data Science »
Stop Creating Bad DAGs — Optimize Your Airflow Environment By Improving Your Python Code
Stop Creating Bad DAGs—Optimize Your Airflow Environment By Improving Your PythonCodeValuable tips to reduce your DAGs’ parse time and save resources.Photo by Dan Roizer onUnsplashApache Airflow is one of the most popular orchestration tools in the data field, powering workflows for companies worldwide. However, anyone who has already worked with Airflow in a production environment, especially in a complex one, knows...
Data Pruning MNIST: How I Hit 99% Accuracy Using Half the Data
Building more efficient AITLDR: Data-centric AI can create more efficient and accurate models. I experimented with data pruning on MNIST to classify handwritten digits.Best runs for “furthest-from-centroid” selection compared to full dataset. Image byauthor.What if I told you that using just 50% of your training data could achieve better results than using the fulldataset?In my recent experiments with the MNIST dataset...
Actually, Being a Data Scientist is Awesome
Don’t let the doom and gloom get to youContinue reading on Towards Data Science »
Navigating Data Science Content: Recognizing Common Pitfalls, Part 1
Uncovering and correcting misconceptions in online data science content to help you learn more effectivelyContinue reading on Towards Data Science »
4 Things I Learned Building a Data Platform using a Medallion Architecture in the Last 4 Years
4 Things I Learned Building a Data Platform using Medallion Architecture in the Last 4YearsLessons learned from a data platform in a production environmentPhoto by Unsplash+ Community onUnsplashThis month, I celebrated four years of working on a big data platform that uses the medallion architecture for data organization. All my previous experiences were linked to different data organization approaches. Therefore,...
How to Share a Secret: Shamir’s Secret Sharing
A general overview of secret sharing and Shamir’s secret sharing algorithmIn this writeup, I’m going to talk about what secret sharing is and dive into the details of a popular secret sharing algorithm, Shamir’s secret sharing. Essentially, secret sharing examines how to distribute some secret information among a group of parties in a secure manner, without compromising the ability for authorized groups to recover the...