Stay Updated with the Latest Tech News
Get ahead of the curve with the latest insights, trends, and analysis in the tech world.
Browse by Category
Popular Topics
#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXThe Model Selection Showdown: 6 Considerations for Choosing the Best Model
Selecting the right model is one of the most critical decisions in any machine learning project.
Share on Facebook
Share in Tweet (rip twitter)
Share on LinkedIn
Share on Reddit
Share on Threads
Share on Bluesky
How to Build Effective Agentic Systems with LangGraph
Create AI workflows with agentic frameworks The post How to Build Effective Agentic Systems with LangGraph appeared first on Towards Data Science.
The Machine Learning Lessons Iβve Learned This Month
September 2025: library or self-made, Ditto and Launchbar, reading widely and deeply The post The Machine Learning Lessons Iβve Learned This Month appeared first on Towards Data Science.
Exploring Metaclasses in Python: Unleashing the Power of Class Creation
Understand how useful in working with the metaclasses in Python.
Preparing Video Data for Deep Learning: Introducing Vid Prepper
A guide to fast video data preprocessing for machine learning The post Preparing Video Data for Deep Learning: Introducing Vid Prepper appeared first on Towards Data Science.
I Made My AI Model 84% Smaller and It Got Better, Not Worse
The counterintuitive approach to AI optimization that's changing how we deploy models The post I Made My AI Model 84% Smaller and It Got Better, Not Worse appeared first on Towards Data Science.
The Algorithmic X-Men
We've assembled our team of Algorithmic X-Men, seven heroes mapped to seven dependable workhorses of machine learning.
7 Python Decorator Tricks to Write Cleaner Code
Usually shrouded in mystery at first glance, Python decorators are, at their core, functions wrapped around other functions to provide extra functionality without altering the key logic in the function being "decorated".
MCP in Practice
Mapping power, concentration, and usage in the emerging AI developer ecosystem The post MCP in Practice appeared first on Towards Data Science.
Python for Data Science (Free 7-Day Mini-Course)
Want to learn Python for data science? Start today with this beginner-friendly mini-course packed with bite-sized lessons and hands-on examples.
Eulerian Melodies: Graph Algorithms for Music Composition
Conceptual overview and an end-to-end Python implementation The post Eulerian Melodies: Graph Algorithms for Music Composition appeared first on Towards Data Science.
Learning Triton One Kernel At a Time: VectorΒ Addition
The basics of GPU programming, optimisation, and your first Triton kernel The post Learning Triton One Kernel At a Time: VectorAddition appeared first on Towards Data Science.
What Clients Really Ask for in AI Projects
Managing AI projects is no walk in the park, but you have the power to make it easier for everyone The post What Clients Really Ask for in AI Projects appeared first on Towards Data Science.
Building Fact-Checking Systems: Catching Repeating False Claims Before They Spread
How retrieval and ensemble methods make fact-checking faster, scalable, and more reliable in a digital world The post Building Fact-Checking Systems: Catching Repeating False Claims Before They Spread appeared first on Towards Data Science.
Building Machine Learning Application with Django
Build and serve your own end-to-end machine learning app with Django, from training the model to creating web forms and APIs, all in one tutorial.
Why MissForest Fails in Prediction Tasks: A Key Limitation You Need to Keep in Mind
Why the original MissForest algorithm cannot be directly applied for predictive modeling, and how MissForestPredict solves this problem The post Why MissForest Fails in Prediction Tasks: A Key Limitation You Need to Keep in Mind appeared first on Towards Data Science.
Using Vision Language Models to Process Millions of Documents
Learn how to effectively apply vision language models to problem solving The post Using Vision Language Models to Process Millions of Documents appeared first on Towards Data Science.
Why and When to Use Sentence Embeddings Over Word Embeddings
Choosing the right text representation is a critical first step in any natural language processing (NLP) project.
Nano Banana Practical Prompting & Usage Guide
In this article we will take a look at what Nano Banana excels at, some tips and tricks for using the model, and lay out a series of example prompts and promoting strategies for getting the most out of using it.
TDS Newsletter: To Better Understand AI, Look Under the Hood
AI-powered toolstend to generate extreme reactions: on one side we have the βItβs magic!β and βbest thing ever!β crowd. On the other, we find the βweβre doomed!β camp. These arenβt static or monolithic groups, of course. You might even find yourself on both ends of the spectrum β in the span of a single day. [β¦] The post TDS Newsletter: To Better Understand AI, Look Under the Hood appeared first on Towards Data...
What Is Big Techβs Influence on AI Development?
So, what is big tech's influence on ai development? It is both transformative and concerning.
Gemini Robotics 1.5 brings AI agents into the physical world
New era of physical agents will help robots perceive, plan, think, use tools and act to solve complex tasks.
How to Build and Publish a Docker Image to Docker Hub
Build once, run anywhere β deploy your app with Docker and Docker Hub.
Building a Video Game Recommender System with FastAPI, PostgreSQL, and Render: PartΒ 2
Deploying a FastAPI + PostgreSQL recommender system as a web application on Render The post Building a Video Game Recommender System with FastAPI, PostgreSQL, and Render: Part2 appeared first on Towards Data Science.
Building Video Game Recommender Systems with FastAPI, PostgreSQL, and Render: Part 1
Designing a video game recommendations service with Steams API The post Building Video Game Recommender Systems with FastAPI, PostgreSQL, and Render: Part 1 appeared first on Towards Data Science.
10 Useful Python One-Liners for Data Engineering
Tackle everyday data engineering tasks with just one line of Python. Fast to write, easy to read, and surprisingly useful.
Decoding Nonlinear Signals In Large Observational Datasets
Rain, snow, or something In between? The post Decoding Nonlinear Signals In Large Observational Datasets appeared first on Towards Data Science.
Decoding Nonlinear Signals in Large Observational Datasets
Rain, snow, or something In between? The post Decoding Nonlinear Signals in Large Observational Datasets appeared first on Towards Data Science.
RAG Explained: Reranking for Better Answers
How reranking improves retrieval-augmented generation by surfacing the most relevant results The post RAG Explained: Reranking for Better Answers appeared first on Towards Data Science.
PyTorch Explained: From Automatic Differentiation to Training Custom Neural Networks
Deep learning is shaping our world as we speak. In fact, it has been slowly revolutionizing software since the early 2010s. In 2025, PyTorch is at the forefront of this revolution, emerging as one of the most important libraries to train neural networks. Whether you are working with computer vision, building large language models (LLMs), [β¦] The post PyTorch Explained: From Automatic Differentiation to Training Custom...
Why Do Language Models Hallucinate?
In this article, we look at five revelations from the paper "Why Do Language Models Hallucinate?"
Beginnerβs Guide to Creating Your Own Python Shell with the cmd Module
This is a simple guide to turning Python scripts into easy-to-use command-line tools.
Introducing the AI-3P Assessment Framework: Score AI Projects Before Committing Resources
A question-driven scorecard to prioritize and de-risk AI initiatives before implementation The post Introducing the AI-3P Assessment Framework: Score AI Projects Before Committing Resources appeared first on Towards Data Science.
Beyond Vector Search: 5 Next-Gen RAG Retrieval Strategies
5 Cutting-Edge Natural Language Processing Trends Shaping 2026
In this article, we discuss five cutting-edge NLP trends that will shape 2026.