Tag: Probability

August 17, 2023

Probability and Stochastic Processes with Applications to Communications, Systems and Networks

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Free Download Probability and Stochastic Processes with Applications to Communications, Systems and Networks by Gurami Tsitsiashvili and Alexander Bochkov
English | PDF | 2023 | 184 Pages | ISBN : 3036564853 | 7.2 MB
The present reprint contains all of the articles accepted and published in the Special Issue "Probability and Stochastic Processes with Applications to Communications, Systems and Networks" from the MDPI Mathematics journal. This Special Issue is devoted to probability, statistics, stochastic processes and their different applications in system and network analysis. The Special Issue includes works related to the analysis and applications of different queuing models, which begin with general approaches in modeling queuing systems and networks; an analysis of probabilistic and statistical methods in telecommunication; an asymptotic analysis of queuing networks in the condition of a large load; general complex networks and their structures, e.g., topology and graph theory; mathematical methods and models in smart cities; exclusive statistical methods, such as statistical estimates in bio/ecology, medicine and neural networks; and studies that estimate parameters in complex technical systems, etc. We hope that the scientific results collected in this reprint will help foster future research related to probability, stochastic processes and their applications.

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August 1, 2023

Machine Learning Foundations – Probability

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Free Download Machine Learning Foundations – Probability
Released 7/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 24m | Size: 211 MB
If you work with machine learning models, you probably already know that your models are based on estimation and approximation. Probability is everything and more-but how do you leverage it to your advantage?

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July 2, 2023

Probability, Statistics, and Random Signals

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Free Download Charles Boncelet, "Probability, Statistics, and Random Signals"
English | 2016 | pages: 434 | ISBN: 0190200510 | PDF | 266,7 mb
Probability, Statistics, and Random Signals offers a comprehensive treatment of probability, giving equal treatment to discrete and continuous probability. The topic of statistics is presented as the application of probability to data analysis, not as a cookbook of statistical recipes. This student-friendly text features accessible descriptions and highly engaging exercises on topics like gambling, the birthday paradox, and financial decision-making.

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June 26, 2023

Probability Theory A First Course in Probability Theory and Statistics

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Free Download Probability Theory: A First Course in Probability Theory and Statistics
English | 2016| ISBN: 3110466171 | 409 Pages | EPUB (True) | 34 MB
This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engineering, and related fields. It is based on the author’s 25 years of experience teaching probability and is squarely aimed at helping students overcome common difficulties in learning the subject. The focus of the book is an explanation of the theory, mainly by the use of many examples. Whenever possible, proofs of stated results are provided. All sections conclude with a short list of problems. The book also includes several optional sections on more advanced topics. This textbook would be ideal for use in a first course in Probability Theory.

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June 25, 2023

Introduction to Probability and Random Variables

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Free Download Introduction to Probability and Random Variables
English | 2023 | ISBN: 3031318153 | 233 Pages | PDF EPUB (True) | 19 MB
This textbook provides a straightforward, clear explanation of probability and random variables for communications engineering students. The author focuses on the most essential subjects of probability and random variables, eliminating unnecessary details of this difficult subject. After an introduction to the topic, the author covers the essentials of experiments, sample spaces, events, and probability laws, while investigating how they relate to communications engineering work. He goes on to discuss total probability theorems, after which he covers discrete random variables and continuous random variables. The author uses his years of teaching probability and random variable concepts to engineering students to form the text in a very understandable manner. The book features exercises, examples, case studies, and other key classroom materials

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