Remove Data Science Remove ROI Remove Statistics Remove Uncertainty
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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. This defines the ROI on the investment of human time.

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The state of data quality in 2020

O'Reilly on Data

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Biases, damned biases, and missing data. Just under 20% of respondents cited “Biased data” as a primary data quality issue (Figure 4).

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Predicting Movie Profitability and Risk at the Pre-production Phase

Insight

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. The ROI is simply the fraction of the budget that the movie makes back at the box office (i.e.,

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Product Management for AI

Domino Data Lab

All you need to know, for now, is that machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to learn based on data by being trained on past examples. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end.