A Reality Check: Three Blind Spots In Executing Real-World AI Agents

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.
GitHub

andrebarsotti/csv-to-ofx-converter

A complete Python application that converts CSV (Comma-Separated Values) files into OFX (Open Financial Exchange) format, with full support for Brazilian banking formats. Version 3.2.1 features a ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
AHA/ASA Journals

Multistage Electrocardiographic Profiling for Mental Stress-Induced Myocardial Ischemia in Women: A Prospective, Age-Matched Cohort Study in China

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
IEEE

Mining social media data based on Python web crawler technology --Taking Sina Weibo data analysis as an example

Abstract: In the context of the big data era, the extensive penetration of the Internet and the rapid development of database technology have led to an explosive growth in the amount of data generated ...
IEEE

Data Poisoning Offensive and Defensive System in FL-enabled Low-Altitude IoT Scenario: Unlearnable Example Attack and Model Similarity Defend

Abstract: Low-altitude Internet of Things (LAIOT) integrates sensing, communication, and edge intelligence within aerial networks. As a distributed training paradigm, federated learning (FL) is a ...