Econometrician Explained: Roles, Methods, and Economic Impact

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...
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 ...
Deep Learning with Yacine on MSN

How to implement linear regression in C++ step by step

Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks ...
GitHub

scikit-mobility - mobility analysis in Python

represent trajectories and mobility flows with proper data structures, TrajDataFrame and FlowDataFrame. manage and manipulate mobility data of various formats (call detail records, GPS data, data from ...
GitHub

SimBA (Simple Behavioral Analysis)

Manuscript: Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience Pre-print: Simple Behavioral Analysis (SimBA) – an open source toolkit for ...
IEEE

IEEE Communications Surveys and Tutorials

Abstract: I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, ...
Investopedia

Understanding Residual Standard Deviation: Key Concepts, Formula & Examples

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
BMJ

A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...
IEEE

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

Abstract: A convolutional neural network (CNN) is one of the most significant networks in the deep learning field. Since CNN made impressive achievements in many areas, including but not limited to ...