Image by Author   Contents# Introduction# 1. Distinguishing Statistical Significance from Practical Significance# 2. Recognizing and Addressing Sampling Bias# 3. Utilizing Confidence Intervals# 4. Interpreting P-Values Correctly# 5. Understanding Type I and Type II Errors# 6. Differentiating Correlation and Causation# 7. Navigating the Curse of Dimensionality# Wrapping Up # Introduction  It’s easy to get caught up in the technical side of data science like perfecting …

7 Statistical Concepts Every Data Scientist Should Master (and Why) Read More »

Through cutting-edge research, a growing bench of world-class talent, and deepening work with government, we’ll accelerate real-world benefits and applications of AI The Asia-Pacific region is home to more than half the world’s population and is poised for immense growth. The Singapore government’s ambitious and forward-looking approach — exemplified by their National AI Strategy 2.0 …

Google DeepMind opens Singapore research lab for Asia-Pacific AI. Read More »

In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science and AI, their writing, and their sources of inspiration. Today, we’re thrilled to share our conversation with Marco Hening Tallarico. Marco is a graduate student at the University of Toronto and a researcher for Risklab, …

Bridging the Gap Between Research and Readability with Marco Hening Tallarico Read More »

Image by Author   Contents# Introduction# 1. Docker Image# 2. Docker Container# 3. Dockerfile# 4. Image Layers# 5. Docker Volumes# 6. Docker Hub# 7. Docker Compose# 8. Container Networks# 9. Environment Variables and Docker Secrets# 10. Container Registry# Wrapping Up # Introduction  Docker has simplified how we build and deploy applications. But when you are getting started learning Docker, the terminology can often be confusing. You will likely …

10 Essential Docker Concepts Explained in Under 10 Minutes Read More »

Google Antigravity To advance how the model and IDE work together, we’re introducing Google Antigravity to showcase what’s possible with Gemini 3. It’s an agentic development platform that enables developers to operate at a higher, task-oriented level by managing agents across workspaces, while retaining a familiar AI IDE experience at its core. It’s a faster …

Gemini 3 for developers: New reasoning, agentic capabilities Read More »

different coding setups people use for programming. In this article, I’ll take you through my personal coding setup and the tools and applications that I use to achieve maximum efficiency when programming. This is a setup that I’ve created through extensive testing and experimenting myself through trial and error. While testing, I’ve attempted to use …

Maximum-Effiency Coding Setup | Towards Data Science Read More »

Image by Editor   Contents# Introduction# Getting Started with Antigravity# Navigating the Interface# Building Your First Project: An Endless Runner Game# Wrapping Up # Introduction  For the last couple of years, the artificial intelligence (AI) revolution in coding felt like having a very fast junior developer sitting next to you. Tools like GitHub Copilot or Cursor were amazing at finishing your …

Google Antigravity: AI-First Development with This New IDE Read More »

Today, Veo is getting more expressive, with improvements that help you create more fun, creative, high-quality videos based on ingredient images, built directly for the mobile format. We’re excited to bring new creative possibilities for everyone from casual storytellers to professional filmmakers. We’re releasing: Improvements to Veo 3.1 Ingredients to Video, our capability that lets …

New video generation model updates Read More »

at the beginning of 2026, AWS has several related yet distinct components that make up its agentic and LLM abstractions. Bedrock is the model layer that enables access to large language models. Agents for Bedrock is the managed application layer. In other words, AWS runs the agents for you based on your requirements. Bedrock AgentCore …

An introduction to AWS Bedrock | Towards Data Science Read More »

Image by Author   Contents# The Setup# The Experiment# The Surprise# Wait, What?# The Plot Twist# The Trade-Off# So, What Should You Actually Do?# The Honest Caveats# The Bottom Line # The Setup  You’re about to train a model when you notice 20% of your values are missing. Do you drop those rows? Fill them in with averages? Use something fancier? The answer matters more …

We Tried 5 Missing Data Imputation Methods: The Simplest Method Won (Sort Of) Read More »