Random Processes And Learning

Data Analysis and Statistics for Geography, Environmental Science, and Engineering  eBooks & eLearning

Posted by interes at March 20, 2020
Data Analysis and Statistics for Geography, Environmental Science, and Engineering

Data Analysis and Statistics for Geography, Environmental Science, and Engineering by Miguel F. Acevedo
English | ISBN: 143988501X | 2013 | 557 pages | PDF | 8 MB

Probably Not: Future Prediction Using Probability and Statistical Inference  eBooks & eLearning

Posted by insetes at Jan. 4, 2021
Probably Not: Future Prediction Using Probability and Statistical Inference

Probably Not: Future Prediction Using Probability and Statistical Inference By Lawrence N. Dworsky
2008 | 328 Pages | ISBN: 0470184019 | PDF | 2 MB

Probably Not: Future Prediction Using Probability and Statistical Inference  eBooks & eLearning

Posted by arundhati at Jan. 13, 2015
Probably Not: Future Prediction Using Probability and Statistical Inference

Lawrence N. Dworsky, "Probably Not: Future Prediction Using Probability and Statistical Inference"
2008 | ISBN-10: 0470184019 | 328 pages | PDF | 2 MB

Randomness and Elements of Decision Theory Applied to Signals  eBooks & eLearning

Posted by hill0 at Dec. 16, 2021
Randomness and Elements of Decision Theory Applied to Signals

Randomness and Elements of Decision Theory Applied to Signals
English | 2021 | ISBN: 3030903133 | 251 Pages | PDF | 12 MB

Communication Principles for Data Science (Signals and Communication Technology)  eBooks & eLearning

Posted by Free butterfly at Oct. 28, 2024
Communication Principles for Data Science (Signals and Communication Technology)

Communication Principles for Data Science (Signals and Communication Technology) by Changho Suh
English | June 14, 2023 | ISBN: 9811980071 | 297 pages | MOBI | 45 Mb

Machine Learning And Predictive Analytics For Business  eBooks & eLearning

Posted by ELK1nG at Dec. 15, 2024
Machine Learning And Predictive Analytics For Business

Machine Learning And Predictive Analytics For Business
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.65 GB | Duration: 5h 25m

Master Data Analysis, Machine Learning, Predictive Modeling, NLP, and Business Strategy for Real-World Applications

Data Engineering : Python,Machine Learning,Etl,Web Scraping  eBooks & eLearning

Posted by ELK1nG at July 23, 2024
Data Engineering : Python,Machine Learning,Etl,Web Scraping

Data Engineering : Python,Machine Learning,Etl,Web Scraping
Published 7/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.20 GB | Duration: 10h 31m

Learn essentials of Data Engineering with Python, Data Manipulation, Machine Learning, ETL, SSIS , Web Scraping.

Master Machine Learning & Ai With Python  eBooks & eLearning

Posted by ELK1nG at March 16, 2025
Master Machine Learning & Ai With Python

Master Machine Learning & Ai With Python
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.97 GB | Duration: 5h 4m

Building Intelligent Systems from the Ground Up

Supervised Learning: Mathematical Foundations and Real-world Applications  eBooks & eLearning

Posted by yoyoloit at Feb. 13, 2025
Supervised Learning: Mathematical Foundations and Real-world Applications

Supervised Learning: Mathematical Foundations and Real-world Applications
by Chakrabarty, Dalia

English | 2025 | ISBN: 1032283300 | 345 pages | True PDF EPUB | 22.52 MB
Stochastic Models, Statistics and Their Applications: Dresden, Germany, March 2019 (Repost)

Stochastic Models, Statistics and Their Applications: Dresden, Germany, March 2019 by Ansgar Steland
English | PDF | 2019 | 450 Pages | ISBN : 3030286649 | 8.7 MB

This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations.