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New-Generation Marketing Mix Modelling with Meridian | by Benjamin Etienne | Feb, 2025 | Towards Data Science
Marketing Mix Modeling is an old statistical approach that tries to understand the impact of marketing campaigns on KPIs such as sales, conversions and traffic. Every MMM model is basically a…
Awesome Plotly with code series (Part 9): To dot, to slope or to stack? | by Jose Parreño | Feb, 2025 | Towards Data Science
Welcome to the ninth post in my “Plotly with code” series! If you missed the first one, you can check it out in the link below, or browse through my “one post to rule them all” to follow along with…
How to Make a Data Science Portfolio That Stands Out | by Egor Howell | Feb, 2025 | Towards Data Science
Many people have asked how I made my website. In this article, I want to describe that exact process and walk through all the tools and tech I used. However, don’t worry too much. I will walk through…
5 Essential Tips Learned from My Data Science Journey | by Federico Rucci | Feb, 2025 | Towards Data Science
Ten years ago, I embarked on my journey in the field of data science. I clearly remember the beginning of this adventure — my thoughts, my emotions, and the excitement that came with stepping into a…
How I Built My First AI-Powered Web App in 20 Minutes | by Claudia Ng | Feb, 2025 | Towards Data Science
Learn how to build an AI-powered web application in just 20 minutes with OpenAI's API and Gradio. This tutorial shows you how to create a Python tips generator with minimal code, ideal for beginners looking to build practical AI projects. Start your coding journey today!
Sparse AutoEncoder: from Superposition to interpretable features | by Shuyang Xiang | Feb, 2025 | Towards Data Science
Complex 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…
Injecting domain expertise into your AI system | by Dr. Janna Lipenkova | Feb, 2025 | Towards Data Science
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…
Inequality in Practice: E-commerce Portfolio Analysis | by Piotr Gruszecki | Jan, 2025 | Towards Data Science
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 brutal…
How Likely Is a Six Nations Grand Slam in 2025? | by Harry Snart | Jan, 2025 | Towards Data Science
The Six Nations is finally here! Ireland are hoping for a three-peat and France are looking dangerous. How can we use Machine Learning & Data Science to predict the likelihood of a Six Nations Grandslam in 2025?
From Text to Code: Enhancing RAG with Adaptive Prompt Engineering | by Uri Gottlieb | Jan, 2025 | Towards Data Science
Clalit is Israel’s largest Health Maintenance Organization — it serves both as the insurer and as the health provider for over 4.5M members across Israel. As you may expect, an organization as large…
AI Development vs Software Engineering: Key Differences Explained | by Paul Ferguson, Ph.D. | Jan, 2025 | Towards Data Science
Having 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…
The AI Product Manager. An introduction to an exciting role… | by Anna Via | Jan, 2025 | Towards Data Science
When ChatGPT was launched at the end of 2022, it started a new chapter in AI. Since then, AI has grown quickly. Almost every week, we hear about new, more powerful models. Millions of people…
Can Machines Dream? On the Creativity of Large Language Models | by Salvatore Raieli | Jan, 2025 | Towards Data Science
Creativity is considered along with the ability to reason a uniquely human ability. The arrival of Large Language Models (LLMs) and their ability to mimic human skills has begun to undermine this…
4 Things I Learned Building a Data Platform using Medallion Architecture in the Last 4 Years | by Danilo Pinto | Jan, 2025 | Towards Data Science
This 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…
Distributed Tracing: A Powerful Approach to Debugging Complex Systems | by Hareesha Dandamudi | Dec, 2024 | Towards Data Science
Discover how Distributed Tracing empowers debugging for complex systems, including microservices and data-intensive applications. Learn how tools like OpenTelemetry and Jaeger provide end-to-end visibility to identify bottlenecks and optimize performance effectively.
Navigating Data Science Content: Recognizing Common Pitfalls, Part 1 | by Geremie Yeo | Jan, 2025 | Towards Data Science
The data science field is vast and complex, often lacking clear-cut answers. While seeking to resolve doubts and learn new concepts online, I’ve come across numerous low-quality, error-prone answers…
Stop Creating Bad DAGs — Optimize Your Airflow Environment By Improving Your Python Code | by Alvaro Leandro Cavalcante Carneiro | Jan, 2025 | Towards Data Science
Apache 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…
Actually, Being a Data Scientist is Awesome | by Marina Wyss - Gratitude Driven | Jan, 2025 | Towards Data Science
It’s trendy right now to say that data science is over-hyped, or even a bad career choice altogether. I transitioned into data science from a non-technical background after spending nearly a decade…
Data Pruning MNIST: How I Hit 99% Accuracy Using Half the Data | by Chris Lettieri | Jan, 2025 | Towards Data Science
TLDR: Data-centric AI can create more efficient and accurate models. I experimented with data pruning on MNIST¹ to classify handwritten digits. What if I told you that using just 50% of your training…
The Invisible Revolution: How Vectors Are (Re)defining Business Success | by Felix Schmidt | Jan, 2025 | Towards Data Science
In a world that focuses more on data, business leaders must understand vector thinking. At first, vectors may appear as complicated as algebra was in school, but they serve as a fundamental building…
Prompting Vision Language Models. Exploring techniques to prompt VLMs | by Anand Subramanian | Jan, 2025 | Towards Data Science
Vision Language Models (VLMs) represent a significant advancement in processing and understanding multimodal data by combining text and visual inputs. Unlike Large Language Models (LLMs), which…
From Spell Check to AI. Why using tools is not cheating | by Alan Nekhom | Jan, 2025 | Towards Data Science
I have been working in the field of AI since 1983. While I don’t claim the title of expert (I’ll leave claiming that title to those who write articles about doomsday, and Skynet Terminators coming to…