Towards Data Science

A Medium publication that shares various concepts, ideas, and coding resources.

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5 Statistical Concepts You Need to Know Before Your Next Data Science Interview

1 week ago | towardsdatascience.com | Haden Pelletier

on my own Data Science job search journey and have been very lucky to have gotten the chance to interview with many companies. These interviews have been a mix of technical and behavioral when meeting with real people, and I’ve also gotten my fair share of assessment tasks to complete on my own. Going through this process I’ve done a lot of research about what kinds of questions are commonly asked during data science interviews.
Rethinking the Environmental Costs of Training AI — Why We Should Look Beyond Hardware | Towards Data Science

3 weeks ago | towardsdatascience.com | Ngoc Doan

A statistical analysis of what drives energy, water, and carbon consumption in AI training — and whether hardware improvements are enough.
The Westworld Blunder

3 weeks ago | towardsdatascience.com | James O'Brien

an interesting moment in AI development. AI systems are getting memory, reasoning chains, self-critiques, and long-context recall. These capabilities are exactly some of the things that I’ve previously written would be prerequisites for an AI system to be conscious. Just to be clear, I don’t believe today’s AI systems are self-aware, but I no longer find that position as firmly supported as I once did.
Running Python Programs in Your Browser | Towards Data Science

3 weeks ago | towardsdatascience.com | Thomas Reid

Privacy Preference CenterWhen you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. The information does not usually directly identify you, but it can give you a more personalized web experience. Because we respect your right to privacy, you can choose not to allow some types of cookies.
How to Level Up Your Technical Skills in This AI Era

1 month ago | towardsdatascience.com | Clara Chong

coding is here to stay. Tools like Cursor, V0, and Lovable have dramatically lowered the barrier to entry — building dashboards, pipelines, or entire apps can now be done in a fraction of the time. I use these tools daily, and they’ve definitely made me faster. But as the codebase gets more complex, the tradeoffs become clear: cryptic bugs, tangled logic, and hours lost debugging code I didn’t truly understand. AI tools are great — especially for beginners — but they come with a quiet cost.
NumExpr: The “Faster than Numpy” Library Most Data Scientists Have Never Used

1 month ago | towardsdatascience.com | Thomas Reid

Privacy Preference CenterWhen you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. The information does not usually directly identify you, but it can give you a more personalized web experience. Because we respect your right to privacy, you can choose not to allow some types of cookies.
How to Benchmark DeepSeek-R1 Distilled Models on GPQA Using Ollama and OpenAI’s simple-evals

1 month ago | towardsdatascience.com | Kenneth Leung

of the DeepSeek-R1 model sent ripples across the global AI community. It delivered breakthroughs on par with the reasoning models from Meta and OpenAI, achieving this in a fraction of the time and at a significantly lower cost. Beyond the headlines and online buzz, how can we assess the model’s reasoning abilities using recognized benchmarks?
Circuit Tracing: A Step Closer to Understanding Large Language Models | Towards Data Science

2 months ago | towardsdatascience.com | Sudheer Singh

Over the years, Transformer-based large language models (LLMs) have made substantial progress across a wide range of tasks evolving from simple information retrieval systems to sophisticated agents capable of coding, writing, conducting research, and much more. But despite their capabilities, these models are still largely black boxes. Given an input, they accomplish the task but we lack intuitive ways to understand how the task was actually accomplished.
Master the 3D Reconstruction Process: A Step-by-Step Guide

2 months ago | towardsdatascience.com | Florent Poux

Privacy Preference CenterWhen you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. The information does not usually directly identify you, but it can give you a more personalized web experience. Because we respect your right to privacy, you can choose not to allow some types of cookies.
Mastering Hadoop, Part 3: Hadoop Ecosystem: Get the most out of your cluster

2 months ago | towardsdatascience.com | Niklas Lang |Roger Noble |Mikkel Dengsøe |Rohan Paithankar

As we have already seen with the basic components (Part 1, Part 2), the Hadoop ecosystem is constantly evolving and being optimized for new applications. As a result, various tools and technologies have developed over time that make Hadoop more powerful and even more widely applicable. As a result, it goes beyond the pure HDFS & MapReduce platform and offers, for example, SQL, as well as NoSQL queries or real-time streaming.