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
65022

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:

Modeling and Applications in Operations Research (Mathematical Engineering, Manufacturing, and Management Sciences)
Mathematical Tools for Real-World Applications A Gentle Introduction for Students and Practitioners
Mathematical Modeling of Evolution Volume 2 Fitness Landscape, Genealogy, and Applications to Viruses
Fundamental Mathematical Concepts for Machine Learning in Science
Fundamental Mathematical Concepts for Machine Learning in Science
Fundamental Mathematical Concepts for Machine Learning in Science
Mathematical Structures for Computer Science, 7th Edition
A Mathematical Foundation for Computer Science, Preliminary Edition
Essentials of Mathematical Methods in Science and Engineering, Second Edition
Ultimate Parallel and Distributed Computing with Julia For Data Science: Excel in Data Analysis, Statistical Modeling and Machine Learning by … to optimize workflows (English Edition)
Python Machine Learning Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks
Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-Wesley Data and Analytics)
Artificial Intelligence For Business How Your Company Can Make More Profit with Machine Learning, Data Science, Big Data, and Deep Learning
Python Data Science How to Learn Step by Step Programming, Data Analytics, and Coding Essentials Tools
Applications of Advanced Ceramics
Data Science on the Google Cloud Platform Implementing End-to-End Real-time Data Pipelines from ingest to machine learning
SQL for Data Analysis A Middle-Level Guide to Integrating SQL with Data Science Tools
SQL for Data Analysis A Middle-Level Guide to Integrating SQL with Data Science Tools
SQL for Data Analysis: A Middle-Level Guide to Integrating SQL with Data Science Tools
Digital Signal Processing Mathematical and Computational Methods, Software Development and Applications, Second Edition
How to Solve It: A New Aspect of Mathematical Method (Princeton Science Library, 34)
Handbook of Mathematical Concepts and Formulas for Students in Science and Engineering
Handbook of Mathematical Concepts and Formulas for Students in Science and Engineering
Advanced Algorithms and Data Structures
PYTHON ARRAYS AND PYTHON NUMPY FOR BEGINNERS: MASTER DATA MANIPULATION EASILY AND UNLEASH THE POWER OF DATA SCIENCE WITH EASY-TO-FOLLOW TUTORIALS - 2 BOOKS IN 1
Learn Python Programming A Beginners Crash Course on Python Language for Getting Started with Machine Learning, Data Science and Data Analytics (Artificial Intelligence Book 1)
Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook
The Enterprise Big Data Lake Delivering on the Promise of Hadoop and Data Science in the Enterprise
Python for Data Science Data analysis and Deep learning with Python coding and programming
Advanced Materials for Multidisciplinary Applications
Business Review: Advanced Applications
Operational Amplifiers with Advanced Applications
Advanced Nanomaterials for Aerospace Applications
Advanced Optimization Applications in Engineering
Operational Amplifiers with Advanced Applications
Advanced Nanodielectrics Fundamentals and Applications
Advanced Optimization Applications in Engineering
Advanced Optimization Applications in Engineering
Advanced Data Fetching Patterns in React
Advanced techniques for collecting statistical data