This book aims at providing an introduction to key concepts, algorithms, and theoretical frameworks in machine learning, including supervised and unsupervised learning, statistical learning theory, probabilistic graphical models and approximate inference. The intended readership consists of electrical engineers with a background in probability and linear algebra.
The treatment builds on first principles, and organizes the main ideas according to clearly defined categories, such as discriminative and generative models, frequentist and Bayesian approaches, exact and approximate inference, directed and undirected models, and convex and non-convex optimization. The text offers simple and reproducible numerical examples providing insights into key motivations and conclusions.
Pages : | /Paperback N/A |
Size : | PDF (206 pages), PostScript. DVI, etc. |
File type : | |
Downloads: | 58 |
Created: | 2020-08-26 |
License: | arXiv.org - Non-exclusive license to distribute |
Author(s): | Osvaldo Simeone |
Interpretable Machine Learning
Interpretable Machine Learning: A Guide for Making Black Box Models Explainable
Download free course Xamarin.Forms Notes for Professionals, pdf file on 181 pages by Stack Overflow Community....
Cyber Security Planning GuideThe cybersecurity action plan is a critical element of cybersecurity readiness. This tutorial explains what goes into these plans and how to start one....
Notes on Diffy Qs: Differential Equations for EngineersAn introductory course on differential equations aimed at engineers. The book covers first order ODEs, higher order linear ODEs, systems of ODEs, Fourier series and PDEs, eigenvalue problems, the Laplace transform, and power series methods. The book originated as class notes for Math 286 at the Univ...
Reversible Computation: Extending Horizons of ComputingDownload free course Reversible Computation: Extending Horizons of Computing, pdf file on 250 pages by Irek Ulidowski, Ivan Lanese, Ulrik Pagh Schultz, Carla Ferreira....
Efficient Learning MachinesMachine learning techniques provide cost-effective alternatives to traditional methods for..., download free Learning Machines tutorial in PDF (268 pages) created by Mariette Awad ....
3D Printing with BiomaterialsDownload free course 3D Printing with Biomaterials, pdf file on 86 pages by IOS Press....
The DSC BookDownload free course The DSC Book, pdf file on 12 pages by Don Jones, Steve Murawski....
OpenIntro Statistics, 4th EditionOpenIntro Statistics offers a traditional introduction to statistics at the college level...., download free OpenIntro Statistics tutorial in PDF (422 pages) created by David Diez ....
Informatics in the FutureDownload free course Informatics in the Future, pdf file on 118 pages by Hannes Werthner, Frank van Harmelen....
Optimizing HPC Applications with Intel Cluster ToolsDownload free course Optimizing HPC Applications with Intel Cluster Tools, pdf file on 291 pages by Alexander Supalov, Andrey Semin, Michael Klemm, Christopher Dahnken....