BOOKS - PROGRAMMING - Methodologies and Applications of Computational Statistics for ...
Methodologies and Applications of Computational Statistics for Machine Intelligence - Debabrata Samanta, Raghavendra Rao Althar, Sabyasachi Pramanik, Soumi Dutta 2021 PDF IGI Global BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
24451

Telegram
 
Methodologies and Applications of Computational Statistics for Machine Intelligence
Author: Debabrata Samanta, Raghavendra Rao Althar, Sabyasachi Pramanik, Soumi Dutta
Year: 2021
Pages: 303
Format: PDF
File size: 19,3 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Data Driven Decision Making using Analytics (Computational Intelligence Techniques)
Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering
Data-Driven Computational Neuroscience Machine Learning and Statistical Models
Mathematical Objects in C++ Computational Tools in A Unified Object-Oriented Approach
Unmatched: 50 Years of Supercomputing (Chapman and Hall CRC Computational Science)
Machine Learning for Sustainable Development (De Gruyter Frontiers in Computational Intelligence, 9)
Introduction to Algorithms A Comprehensive Guide for Beginners Unlocking Computational Thinking
The Computational Content Analyst Using Machine Learning to Classify Media Messages
Computational Drug Discovery and Design (Methods in Molecular Biology, 1762)
Pedigree Polytopes: New Insights on Computational Complexity of Combinatorial Optimisation Problems
Computational Methods of Linear Algebra by Faddeeva, V. N. (June 1, 1959) Paperback
Bioinformatics and Computational Biology (The 2013 WorldComp International Conference Proceedings)
Computer Science Distilled Learn the Art of Solving Computational Problems
Intelligent Secure Trustable Things (Studies in Computational Intelligence, 1147)
Digital Architecture Beyond Computers Fragments of a Cultural History of Computational Design
Complex Adaptive Systems: An Introduction to Computational Models of Social Life
Grammatical Framework: Programming with Multilingual Grammars (Studies in Computational Linguistics)
Computational Thinking A Beginner|s Guide to Problem-Solving and Programming
Introduction to Algorithms A Comprehensive Guide for Beginners Unlocking Computational Thinking
The mind doesn|t work that way the scope and limits of computational psychology
Python Asynchronous Programming for Beginners: Write Faster, More Responsive Python Applications! The Beginner|s Guide to Async Await! From … Applications (Python Trailblazer|s Bible)
Modern Statistics with R From Wrangling and Exploring Data to Inference and Predictive Modelling Second Edition
Simplifying Statistics for Graduate Students: Making the Use of Data Simple and User-Friendly
Statistics and Data Analysis for Engineers and Scientists (Transactions on Computer Systems and Networks)
Statistics for Linguistics with R A Practical Introduction, 3rd revised edition (Mouton Textbook)
Modern Statistics with R From Wrangling and Exploring Data to Inference and Predictive Modelling Second Edition
Miller & Freund|s Probability and Statistics for Engineers, Ninth Edition
Muscle Car Source Book All the Facts, Figures, Statistics, and Production Numbers
Building Real-World Web Applications with Vue.js 3: Build a portfolio of Vue.js and TypeScript web applications to advance your career in web development
Cognitive Linguistics and Translation: Advances in Some Theoretical Models and Applications (Applications of Cognitive Linguistics [ACL])
Examining Fractal Image Processing and Analysis (Advances in Computational Intelligence and Robotics)
Theoretical Foundations and Numerical Methods for Sparse Recovery (Radon Series on Computational and
Bits and Bugs A Scientific and Historical Review of Software Failures in Computational Science
Optimized Computational Intelligence Driven Decision-Making Theory, Application and Challenges
Head First Learn to Code A Learner|s Guide to Coding and Computational Thinking
Data Science in R A Case Studies Approach to Computational Reasoning and Problem Solving
Technologies for Sustainable Global Higher Education (Advances in Computational Collective Intelligence)
Head First Learn to Code: A Learner|s Guide to Coding and Computational Thinking
Individual-based Modeling and Ecology (Princeton Series in Theoretical and Computational Biology, 2)
Text as data Computational Methods of Understanding Written Expression Using SAS