Part 1 of book "Introduction to machine learning" has contents: introduction, supervised learning, bayesian decision theory, parametric methods, multivariate methods, multivariate methods, clustering, nonparametric methods, decision trees.

 250 p hdu 05/07/2022 257 1 Download

Part 2 of book "Introduction to machine learning" has contents: linear discrimination, multilayer perceptrons, local models, kernel machines, hidden markov models, graphical models, combining multiple learners, combining multiple learners, design and analysis of machine learning experiments.

 331 p hdu 05/07/2022 33 0 Download

Ebook "Optical network design and planning" provides broad coverage of the architecture, algorithms, and eco nomics of optical networks. It differs from other books on this general subject in that it focuses on real-word networks and it provides good perspective on the prac tical aspects of the design and planning process. Please refer to the content of part 1 of book.

 138 p hdu 05/07/2022 74 0 Download

Ebook "Optical network design and planning" provides broad coverage of the architecture, algorithms, and eco nomics of optical networks. It differs from other books on this general subject in that it focuses on real-word networks and it provides good perspective on the prac tical aspects of the design and planning process. Please refer to the content of part 2 of book.

 189 p hdu 05/07/2022 74 0 Download

Part 2 of book "Parallel Programming in C with MPI and OpenMP" provide with knowledge about: Monte Carlo methods; matrix multiplication; solving linear systems; finite difference methods; sorting; the past fourier transform; combinatorial search; shared-memory programming; combining MPI and openMP;...

 281 p hdu 05/07/2022 93 0 Download

Part 1 of book "Parallel Programming in C with MPI and OpenMP" provide with knowledge about: motivation and history; parallel architectures; parallel algorithm design; message-passing programming; the sieve of Eratosthenes; Floyd's algorithm; performance analysis; matrix-veltor multiplication; document classification;...

 235 p hdu 05/07/2022 99 1 Download

Part 1 of book "Introduction to Parallel Computing (Second edition)" provide with knowledge about: introduction to parallel computing; parallel programming platforms; principles of parallel algorithm design; basic communication operations; analytical modeling of parallel programs; programming using the message-passing paradigm;...

 291 p hdu 05/07/2022 91 0 Download

Continued part 1, part 2 of book "Introduction to Parallel Computing (Second edition)" provide with knowledge about: programming shared address space platforms; dense matrix algorithms; sorting and bibliographic remarks; graph algorithms; search algorithms for discrete optimization problems; dynamic programming; fast fourier transform;...

 321 p hdu 05/07/2022 68 0 Download

Part 1 of book "Introduction to Data Compression (Third edition)" provide with knowledge about: introduction; mathematical preliminaries for lossless compression; huffman coding; arithmetic coding; dictionary techniques; context-based compression; lossless image compression; mathematical preliminaries for lossy coding; scalar quantization; vector quantization;...

 347 p hdu 05/07/2022 89 1 Download

Continued part 1, part 2 of book "Introduction to Data Compression (Third edition)" provide with knowledge about: differential encoding; mathematical preliminaries for transforms, subbands, and wavelets; transform coding; subband coding; wavelet-based compression; audio coding; analysis/synthesis and analysis by synthesis schemes; video compression; probability and random processes;...

 356 p hdu 05/07/2022 85 0 Download

This book "Introduction to Data Compression" provide students with knowledge about: introduction; information theory; probability coding; applications of probability coding; the Lempel-Ziv algorithms; other lossless compression; lossy compression techniques; a case study: JPEG and MPEG; other lossy transform codes;...

 55 p hdu 05/07/2022 77 1 Download

Part 1 of the document "Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition" provide with knowledge about: regular expressions, text normalization, edit distance; N-gram language models; naive bayes and sentiment classification; logistic regression; vector semantics and embeddings; neural networks and neural language models;...

 287 p hdu 05/07/2022 58 1 Download