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Ontotext
DECEMBER 15, 2023
The official (first) repo is tensorflow/tensor2tensor that has topics: machine-learning reinforcement-learning deep-learning machine-translation tpu. By exploring the first topic machine-learning , we find 117k Github repos. Wikipedia categories are used to classify articles, and to form a hierarchy.
Alation
JULY 19, 2021
This includes how data is formatted, with information on tables, pages, types, and relationships. To manage the sheer volume of metadata, a new category has emerged called active metadata. Data intelligence integrates intelligence derived from active metadata into categories like data quality, governance, and profiling.
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AWS Big Data
APRIL 24, 2023
It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture. Define Lake Formation policies.
Insight
OCTOBER 25, 2019
Image credit: [link] As the title suggests, this is a story about a question that may resonate well with many machine learning practitioners trying to build applications in the real world, where clean and annotated data on a specific problem can be sparse— How do we leverage the power of AI when we have very little data?
bridgei2i
JUNE 3, 2020
This blog takes a look at the impact of the pandemic on Consumer Technology and Durables, and how the industry is responding to the crisis. As we’ve learned from Gartner , COVID-19 has triggered a few dominant emotions driving economic behaviours. Image 3: Changing customer habits and expenditure plans. The COVID-19 Impact.
Occam's Razor
MARCH 30, 2017
Machine Learning | Marketing. Machine Learning | Analytics. People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Most Deep Learning methods involve artificial neural networks, modeling how our bran works.
bridgei2i
APRIL 29, 2020
There might be spikes due to panic-buying, but mostly this demand is for basic SKUs, with very few people looking for categories like high-end beauty and personal products. Companies will need to look at machine-learning-based accelerators, which not only help in gaining insights into the complex supply chain through KPI measurement.
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