Pub Date: September 25, 2023
Dewey: 001.4226
LCCN: 2021012896
Lexile Code: 0000
Features: Bibliography, Illustrated, Index
Target Age Group: NA to NA
Physical Info: 0.38" H x 9.21" L x 6.14" W ( 0.56 lbs) 160 pages
BISAC Categories:
Business and Economics | Statistics | Computers | Data Science | Data Analytics | Machine Theory | Technology and Engineering | Electrical
Description: This book describes algorithms like Locally Linear Embedding, Laplacian eigenmaps, Semidefinite Embedding, t-SNE to resolve the problem of dimensionality reduction in case of non-linear relationships within the data. Underlying mathematical concepts, derivations, proofs, strengths and limitations of these algorithms are discussed as well.