Learn more about Nonparametric Test https://www.sciencedirect.com/topics/medicine-and-dentistry/nonparametric-test Sensor Management for Large-Scale Multisensor-Multitarget Tracking," in Integrated Tracking, Classification, and Sensor Management: Theory and Applications http://download.e-bookshelf.de/download/0000/7142/31/L-G-0000714231-0002366034.pdf Approaches to Multisensor Data Fusion in Target Tracking: A Survey https://www.computer.org/csdl/journal/tk/2006/12/k1696/13rRUxBa56w Sensor fusion https://en.wikipedia.org/wiki/Sensor_fusion Sensor Fusion: Sensor fusion is the process of merging data from multiple sensors such that to reduce the …
Category: Math and Statistics for Data Science, and Engineering
Math and Statistics for Data Science, and Engineering
Jul 07
Statistics: Data Science: Kaiser-Meyer-Olkin (KMO) Test
Kaiser-Meyer-Olkin (KMO) Test for Sampling Adequacy https://www.statisticshowto.datasciencecentral.com/kaiser-meyer-olkin/ KMO and Bartlett’s Test https://www.ibm.com/support/knowledgecenter/SSLVMB_23.0.0/spss/tutorials/fac_telco_kmo_01.html What should be ideal KMO value for factor analysis? https://www.researchgate.net/post/What_should_be_ideal_KMO_value_for_factor_analysis
Jan 05
Implement Gradient Descend:
" Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function. To find a local minimum of a function usinggradient descent, one takes steps proportional to the negative of the gradient (or approximategradient) of the function at the current point. Gradient descent – Wikipedia https://en.wikipedia.org/wiki/Gradient_descent " Gradient Descend # From …
