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
65038

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:

Data Science with Rust From Fundamentals to Insights
Как быть успешным в Data Science
Beginner|s Guide to Data Science
R for Political Data Science A Practical Guide
Data Science for Sensory and Consumer Scientists
Fundamentals of Thermal Radiation for Energy Utilization in Fuel Combustion (Advanced Topics in Science and Technology in China, 67)
Green Computing for Sustainable Smart Cities A Data Analytics Applications Perspective
Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases
Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective
Big Data Analytics and Intelligent Applications for Smart and Secure Healthcare Services
Applications of Big Data and Artificial Intelligence in Smart Energy Systems Volume 1
Applications of Big Data and Artificial Intelligence in Smart Energy Systems Volume 2
Green Computing for Sustainable Smart Cities A Data Analytics Applications Perspective
Hypothesis Generation and Interpretation Design Principles and Patterns for Big Data Applications
Hypothesis Generation and Interpretation Design Principles and Patterns for Big Data Applications
Python for Information Professionals How to Design Practical Applications to Capitalize on the Data Explosion
Python for Information Professionals How to Design Practical Applications to Capitalize on the Data Explosion
Hacking and Securing iOS Applications Stealing Data, Hijacking Software, and How to Prevent It
Advanced Analytics with Excel 2019 Perform Data Analysis Using Excel’s Most Popular Features
Data-Driven Scheduling of Semiconductor Manufacturing Systems (Advanced and Intelligent Manufacturing in China)
Artificial Intelligence for Science and Engineering Applications
Artificial Intelligence for Science and Engineering Applications
Artificial Intelligence for Science and Engineering Applications
Exposure Science: Basic Principles and Applications
Photonic Quantum Technologies: Science and Applications
Geometric Algebra with Applications in Science and Engineering
Mathematics in Engineering Sciences Novel Theories, Technologies, and Applications (Mathematical Engineering, Manufacturing, and Management Sciences)
Python for Data Science For Dummies, 3rd Edition
Malware Data Science Attack Detection and Attribution
Data Science with R: An Introduction to Statistical Computing and Graphics
The Science of Hockey: The Math, Technology, and Data Behind the Sport
Audit Analytics: Data Science for the Accounting Profession (Use R!)
Statistics and Data Visualization in Climate Science with R and Python
Handbook of Data Science Approaches for Biomedical Engineering
Algorithms & Data Structures The Science Of Computing
Алгоритмы Data Science и их практическая реализация на Python
Data Science Bookcamp Ten Python projects
Causal Inference for Data Science (Final Release)
Analytical Skills for AI and Data Science (Early Release)
The Art of Data Science A Practitioner|s Guide