Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
The orbitofrontal cortex (OFC) is critical to identifying task structure and to generalizing appropriately across task states with similar underlying or hidden causes. This capability is at the heart ...
Learn With Jay on MSN
Linear regression using gradient descent explained simply
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
Deep Learning with Yacine on MSN
Building multivariate linear regression in C++ — no libraries, just code
Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
This study quantitatively investigates the relationship between the implementation of waste-to-resource systems and the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback