BOOKS - PROGRAMMING - Advanced Mathematical Applications in Data Science
Advanced Mathematical Applications in Data Science - Biswadip Basu Mallik, Kirti Verma, Rahul Kar, Ashok Kumar Shaw 2023 PDF | EPUB Bentham Books BOOKS PROGRAMMING
ECO~14 kg CO²

1 TON

Views
65024

Telegram
 
Advanced Mathematical Applications in Data Science
Author: Biswadip Basu Mallik, Kirti Verma, Rahul Kar, Ashok Kumar Shaw
Year: 2023
Pages: 223
Format: PDF | EPUB
File size: 27.1 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Mathematical Statistics with Applications in R, 2nd Edition
Mathematical Modeling. Models, Analysis and Applications
Practical Data Analytics for BFSI Leveraging Data Science for Driving Decisions in Banking, Financial Services, and Insurance Operations
Mathematical Analysis for Machine Learning and Data Mining
Теоретический минимум по Computer Science. Сети, криптография и data science
Frame Theory in Data Science (Advances in Science, Technology and Innovation)
Statistical Methods for Materials Science The Data Science of Microstructure Characterization
Data Science An Emerging Trend in Engineering, Science & Technology
Data Science An Emerging Trend in Engineering, Science & Technology
Econometric Python: Harnessing Data Science for Economic Analysis: The Science of Pythonomics in 2024
Econometric Python Harnessing Data Science for Economic Analysis The Science of Pythonomics in 2024
Python for Beginners Start Right Now to Learn Computer Programming with the Best Crash Course. Improve your Skills with Machine Learning, Data Analysis and Data Science
It|s All Analytics, Part III: The Applications of AI, Analytics, and Data Science (It|s All Analytics, 3)
Mathematical Models In Science
Mathematical Methods using Python Applications in Physics and Engineering
Theories Of Interval Arithmetic: Mathematical Foundations And Applications
Mathematical Methods using Python: Applications in Physics and Engineering
Mathematical Methods using Python Applications in Physics and Engineering
Mathematical Theory and Applications of Error Correcting Codes
An Introduction to Mathematical Statistics and Its Applications, 6th Edition
Sankhya and Science: Applications of Vedic Philosophy to Modern Science
Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data … Enterprise Strategies (English Edition)
Mathematical Foundations of Computer Science
Mathematical Foundations of Computer Science
Mathematical Foundations of Computer Science
Mathematical Methods for Engineering and Science
Mathematical Methods in Engineering and Applied Sciences (Mathematics and its Applications)
Mathematical Programming for Power Systems Operation with Python Applications
Advances on Mathematical Modeling and Optimization with Its Applications (Emerging Technologies)
Mathematical Feynman Path Integrals And Their Applications 2nd Edition
Lattice Path Combinatorics with Statistical Applications; Mathematical Expositions 23
Intelligent Data Analysis for Biomedical Applications Challenges and Solutions (Intelligent Data-Centric Systems Sensor Collected Intelligence)
Video Data Analytics for Smart City Applications: Methods and Trends (IoT and Big Data Analytics)
Synthetic Data for Deep Learning Generate Synthetic Data for Decision Making and Applications with Python and R
Data Analytics Principles, Tools, and Practices A Complete Guide for Advanced Data Analytics Using the Latest Trends, Tools
Python Web Applications with Flask Hand-on your Flask skills with advanced techniques and build dynamic web applications
Python Web Applications with Flask Hand-on your Flask skills with advanced techniques and build dynamic web applications
Data-Centric Business and Applications: ICT Systems - Theory, Radio-Electronics, Information Technologies and Cybersecurity (Lecture Notes on Data Engineering and Communications Technologies)
Ultimate Parallel and Distributed Computing with Julia For Data Science Excel in Data Analysis, Statistical Modeling and Machine Learning by Leveraging MLBase.jl and MLJ.jl to Optimize Workflows
Ultimate Parallel and Distributed Computing with Julia For Data Science Excel in Data Analysis, Statistical Modeling and Machine Learning by Leveraging MLBase.jl and MLJ.jl to Optimize Workflows