The 10 coolest open-source software tools in 2025 include software for developing AI agentic applications, managing streams ...
Abstract: Traditional Machine Learning (ML) models are generally preferred for classification tasks on tabular datasets, which often produce unsatisfactory results in complex tabular datasets. Recent ...
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Marketing on LinkedIn: What you need to know
Your guide to LinkedIn's tools, strategies and best practices. Updated with info about the new reserved ad format and the ...
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024 ...
The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.
pytorch-widedeep is based on Google's Wide and Deep Algorithm, adjusted for multi-modal datasets. In general terms, pytorch-widedeep is a package to use deep learning with tabular data. In particular, ...
"Data is the fuel that feeds AI and analytics to improve decision making, and no data is more important than the organization's first-party data that it owns related to its customers and markets," ...
Abstract: The rising use of machine learning in various fields requires robust methods to create synthetic tabular data that preserve key characteristics while mitigating data scarcity chal-lenges.
In one sentence: transforming the original scalar continuous features to vectors before mixing them in the main backbone (e.g. in MLP, Transformer, etc.) improves the downstream performance of tabular ...
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