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Towards Data Science
towardsdatascience.com > not-all-recsys-problems-are-created-equal

Not All RecSys Problems Are Created Equal

Not All RecSys Problems Are Created Equal3+ hour, 45+ min ago   (242+ words) Publish AI, ML & data-science insights to a global community of data professionals. Beyond candidate generation, the complexity of re-ranking is best understood through the two dimensions mapped in the image below. First, observable outcomes and catalog stability, which determines how…...

Towards Data Science
towardsdatascience.com > what-i-am-doing-to-stay-relevant-as-a-senior-analytics-consultant-in-2026

What I Am Doing to Stay Relevant as a Senior Analytics Consultant in 2026

What I Am Doing to Stay Relevant as a Senior Analytics Consultant in 20264+ day, 1+ hour ago   (995+ words) Publish AI, ML & data-science insights to a global community of data professionals. Learn how to work with AI, while strengthening your unique human skills that technology cannot replace 2026 feels like a turning point for analytics. Generative AI is no longer…...

Towards Data Science
towardsdatascience.com > pydantic-performance-4-tips-on-how-to-validate-large-amounts-of-data-efficiently

Pydantic Performance: 4 Tips on How to Validate Large Amounts of Data Efficiently

Pydantic Performance: 4 Tips on How to Validate Large Amounts of Data Efficiently5+ day, 1+ hour ago   (1199+ words) Publish AI, ML & data-science insights to a global community of data professionals. Many tools in Python are so easy to use that it's also easy to use them the wrong way, like holding a hammer by the head. The same…...

Towards Data Science
towardsdatascience.com > prompt-fidelity-measuring-how-much-of-your-intent-an-ai-agent-actually-executes

Prompt Fidelity: Measuring How Much of Your Intent an AI Agent Actually Executes

Prompt Fidelity: Measuring How Much of Your Intent an AI Agent Actually Executes5+ day, 4+ hour ago   (1846+ words) Publish AI, ML & data-science insights to a global community of data professionals. How much of your AI agent's output is real data versus confident guesswork? Obviously, a playlist creator is a fairly low-stakes AI agent capability. The playlist it made…...

Towards Data Science
towardsdatascience.com > mechanistic-interpretability-peeking-inside-an-llm

Mechanistic Interpretability: Peeking Inside an LLM

Mechanistic Interpretability: Peeking Inside an LLM6+ day, 1+ hour ago   (790+ words) Publish AI, ML & data-science insights to a global community of data professionals. Deciphering the neural network, from how it works, to where to look and what it reveals Let's discuss how to examine and manipulate an LLM's neural network. This…...

Towards Data Science
towardsdatascience.com > the-proximity-of-the-inception-score-as-an-evaluation-criterion

The Proximity of the Inception Score as an Evaluation Criterion

The Proximity of the Inception Score as an Evaluation Criterion1+ week, 1+ day ago   (639+ words) Publish AI, ML & data-science insights to a global community of data professionals. The neighborhood of synthetic data One of the first metrics used was the Inception Score (IS). Based on the predictions of a pre-trained Inception network, the Inception Score…...

Towards Data Science
towardsdatascience.com > building-systems-that-survive-real-life

Building Systems That Survive Real Life

Building Systems That Survive Real Life1+ week, 1+ day ago   (759+ words) Publish AI, ML & data-science insights to a global community of data professionals. Sara Nobrega on the transition from data science to AI engineering, using LLMs as a bridge to DevOps, and the one engineering skill junior data scientists need to…...

Towards Data Science
towardsdatascience.com > silicon-darwinism-why-scarcity-is-the-source-of-true-intelligence

Silicon Darwinism: Why Scarcity Is the Source of True Intelligence

Silicon Darwinism: Why Scarcity Is the Source of True Intelligence1+ week, 2+ day ago   (1223+ words) Publish AI, ML & data-science insights to a global community of data professionals. We are confusing "size" with "smart." The next leap in artificial intelligence will not come from a larger data center, but from a more constrained environment. In 1977, humanity…...

Towards Data Science
towardsdatascience.com > on-the-possibility-of-small-networks-for-physics-informed-learning

On the Possibility of Small Networks for Physics-Informed Learning

On the Possibility of Small Networks for Physics-Informed Learning1+ week, 5+ day ago   (962+ words) Publish AI, ML & data-science insights to a global community of data professionals. A new kind of hyperparameter study We now study the effect of network size on a common model problem from fluid mechanics. Burgers" equation is frequently used to…...

Towards Data Science
towardsdatascience.com > optimizing-vector-search-why-you-should-flatten-structured-data

Optimizing Vector Search: Why You Should Flatten Structured Data 

Optimizing Vector Search: Why You Should Flatten Structured Data 1+ week, 6+ day ago   (684+ words) Publish AI, ML & data-science insights to a global community of data professionals. An analysis of how flattening structured data can boost precision and recall by up to20% This creates a lowsignal-to-noise ratio. In natural language, almost all words contribute to the…...