In recent years, psychology has leaned heavily toward dimensional models of personality disorders (PDs). Instead of drawing boundaries around borderline, narcissistic, or avoidant personalities, ...
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Python Physics Lesson 1: Hello World and Variables
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...
If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.
Here: https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/tuner.py#L1655 in case of framework estimator, the CategoricalParameter is encoded using ...
PSMA-based PET imaging in newly diagnosed, high-risk localized prostate cancer, a National Cancer Institute (NCI) Cancer Moonshot trial. This is an ASCO Meeting Abstract from the 2025 ASCO ...
ABSTRACT: The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which ...
This appendix provides an example on how to apply the k-prototypes clustering algorithm in R, which is an open-source programming language that is mainly used for data processing and statistical ...
Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique. Data clustering is the process of grouping data items together so ...
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