A Brief Introduction to Machine Learning for Engineers
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 |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/article.php on line 233
Others Machine learning Tutorials
Understanding Machine Learning: From Theory to Algorithms
Machine Learning with TensorFlow
Interpretable Machine Learning
The Hundred-Page Machine Learning Book
Interpretable Machine Learning: A Guide for Making Black Box Models Explainable
Others related eBooks about A Brief Introduction to Machine Learning for Engineers
Managed Software EvolutionDownload free course Managed Software Evolution, pdf file on 439 pages by Ralf Reussner, Michael Goedicke, Wilhelm Hasselbring, Birgit Vogel-Heuser, Jan Keim, Lukas Märtin....
How to Design Programs: An Introduction to Programming and ComputingThis second edition has been completely revised. While the book continues to teach a systematic approach to program design, the second edition introduces different design recipes for interactive programs with graphical interfaces and batch programs. It also enriches its design recipes for functions ...
Programming from the Ground Up: An Introduction to Programming using Linux Assembly LanguageProgramming from the Ground Up uses Linux assembly language to teach new programmers the most important concepts in programming. It takes you a step at a time through these concepts: * How the processor views memory * How the processor operates * How programs interact with the operating system * H...
Machine Learning with TensorFlowTensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine....
Sensor TechnologiesSensor Technologies: Healthcare, Wellness and Environmental Applications explores the key ..., download free Sensor tutorial in PDF (336 pages) created by Michael J. McGrath ....
Intel Trusted Execution Technology for Server PlatformsIntel Trusted Execution Technology (Intel TXT) is a new security technology that started a..., download free Server Platforms tutorial in PDF (153 pages) created by William Futral ....
Smooth CoffeeScriptDownload free course Smooth CoffeeScript, pdf file on 231 pages by E. Hoigaard....
S-BPM IllustratedDownload free course S-BPM Illustrated, pdf file on 144 pages by Albert Fleischmann, Stefan Raß, Robert Singer....
The NGINX Real-Time API HandbookDownload free course The NGINX Real-Time API Handbook, pdf file on 26 pages by Karthik Krishnaswamy, Alessandro Fael García....
Jenkins: The Definitive GuideDownload free course Jenkins: The Definitive Guide, pdf file on 417 pages by John Ferguson Smart....