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OPINION: The world is changing fast. Students need data science instruction ASAP

Flipboard

Netflix machine-learning algorithms, for example, leverage rich user data not just to recommend movies, but to decide which new films to make. Facial recognition software deploys neural nets to leverage pixel data from millions of images. Importantly, students have reported actually enjoying data science courses.

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LLM Agents Underscore One Truth: Data Is The Real Differentiator.

Towards AI

We don’t have better algorithms; we just have more data. Peter Norvig, The Unreasonable Effectiveness of Data. Edited Photo by Taylor Vick on Unsplash In ML engineering, data quality isn’t just critical — it’s foundational. That early obsession with algorithms was vital. This member-only story is on us.

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10 Best Data Science Movies you need to Watch!

Pickl AI

Data Science Movies has been sprawling in the sector since years now, and people have started to understand its significance today. Numerous movies have been produced and made that enables you to understand the ways in which Artificial Intelligence, Machine Learning, Data and Information have played crucial roles.

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Big Data – Lambda or Kappa Architecture?

Data Science Blog

In the realm of Big Data, there are two prominent architectural concepts that perplex companies embarking on the construction or restructuring of their Big Data platform: Lambda architecture or Kappa architecture. Its focus on unique, ongoing events allows for effective and responsive data processing.

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Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart

AWS Machine Learning Blog

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). If you have a large dataset, the SageMaker KNN algorithm may provide you with an effective semantic search.

Algorithm 101
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Otter-Knowledge

IBM Data Science in Practice

In Otter-Knoweldge, we use different pre-trained models and/or algorithms to handle the different modalities of the KG, what we call handlers. These handlers might be complex pre-trained deep learning models, like MolFormer or ESM, or simple algorithms like the morgan fingerprint. Nucleic Acids Research, 40(D1):D1100–D1107, 09 2011.

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Computer Vision for Cultural Heritage Preservation: Unlocking the Past with Advanced Imaging…

Heartbeat

Computer vision algorithms can reconstruct a highly detailed 3D model by photographing objects from different perspectives. But computer vision algorithms can assist us in digitally scanning and preserving these priceless manuscripts. These ground-breaking areas redefine how we connect with and learn from our collective past.