Diabetes is one of the chronic diseases that has been discovered for decades. However, several cases are diagnosed in their late stages. Every one in eleven of the world's adult population has diabetes. Forty-six percent of people with diabetes have...
Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied (⭐ 112)
Predict Diabetes using Machine Learning. (⭐ 164)
? A functional, immutable Finite State Machine library (⭐ 2152)
robot or robots in Wiktionary, the free dictionary. A robot is a virtual or mechanical artificial agent, usually an electro-mechanical machine. Robot
There have been a number of recent proposals to enhance the performance of machine learning strategies for collider physics by combining many distinct events into a single ensemble feature. To evaluate the efficacy of these proposals, we study the co...
This thesis examines a modern concept for machine numbers based on interval arithmetic called 'Unums' and compares it to IEEE 754 floating-point arithmetic, evaluating possible uses of this format where floating-point numbers are inadequate. In the c...
Understanding and monitoring aquatic biodiversity is critical for ecological health and conservation efforts. This paper proposes SuoiAI, an end-to-end pipeline for building a dataset of aquatic invertebrates in Vietnam and employing machine learning...
Racial bias in medicine, such as in dermatology, presents significant ethical and clinical challenges. This is likely to happen because there is a significant underrepresentation of darker skin tones in training datasets for machine learning models....
This is a set of counterterrorism machine learning and data processing tools (⭐ 0)
Machine Learning for Counterterrorism. (⭐ 2)
Random Projection is a foundational research topic that connects a bunch of machine learning algorithms under a similar mathematical basis. It is used to reduce the dimensionality of the dataset by projecting the data points efficiently to a smaller...
This study evaluates the application of predictive analytics for real-time cyber-attack detection and response, focusing on how statistical and machine learning methods can improve decision-making in Security Operations Centers (SOCs). Using a curate...
Teamworks Intelligence, formerly Zelus Analytics, uses advanced machine learning to deliver sport-specific predictive models and metrics that inform everything from athlete evaluation and roster …
Edit I’ve never tried expresso or anything just the regular and I don’t drink that often...
My espresso still tastes bitter no matter what I do. If I grind much finer it will clog the machine, and if I grind less it ends up ripping through too fast, but still bitter. Is the bitterness just f...
I’ve gone through three espresso machines in five years cheap ones died fast, "good" ones barely outlasted the warranty. I just want something reliable that pulls a great shot and doesn’t leak/bre...
The technology landscape is richer and more promising than ever before. In many ways, cloud computing, big data, virtual reality (VR), augmented reality (AR), blockchain, additive manufacturing, artificial intelligence (AI), machine learning (ML), In...
Artificial intelligence (AI) and machine learning (ML) is becoming popular in many fields including using it for lithium-ion battery research. These methods have
How to handle gender with machine learning is a controversial topic. A growing critical body of research brought attention to the numerous issues transgender communities face with the adoption of current automatic gender recognition (AGR) systems. In...