BOOKS - PROGRAMMING - Advanced Decision Sciences Based on Deep Learning and Ensemble ...
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms A Practical Approach Using Python - S. Sumathi, Suresh Rajappa, L. Ashok Kumar, Surekha Paneerselvam 2021 PDF Nova Science Publishers BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
86792

Telegram
 
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms A Practical Approach Using Python
Author: S. Sumathi, Suresh Rajappa, L. Ashok Kumar, Surekha Paneerselvam
Year: 2021
Pages: 370
Format: PDF
File size: 11,5 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms A Practical Approach Using Python
Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis (Studies in Systems, Decision and Control Book 467)
Decision Sciences Theory and Practice
Deep Learning for the Life Sciences Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More First Edition
Deep Learning for the Life Sciences Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
Mathematics of Decision Theory (Methods and Models in the Social Sciences, 3)
Machine Learning for Decision Sciences with Case Studies in Python
Models and Applications in the Decision Sciences Best Papers from the 2015 Annual Conference
Proceedings of the Tenth International Forum of Decision Sciences (Uncertainty and Operations Research)
Uncertain Computation-based Decision Theory
Early Decision: Based on a True Frenzy
Artificial Intelligence and Deep Learning for Decision Makers
Advanced Mathematical Techniques in Engineering Sciences
Case-Based Approximate Reasoning (Theory and Decision Library B, 44)
Data-Driven Clinical Decision-Making Using Deep Learning in Imaging
Data-Driven Clinical Decision-Making Using Deep Learning in Imaging
How to Use Evidence-Based Dental Practices to Improve Clinical Decision-Making
Neural Network Driven Artificial Intelligence Decision Making Based on Fuzzy Logic
Introductory Physics for the Life Sciences Quantity-Based Analysis, Volume Two
Introductory Physics for the Life Sciences Quantity-Based Analysis, Volume Two
Picture Fuzzy Logic and Its Applications in Decision Making Problems (Advanced Studies in Complex Systems)
Deep Learning Applications and Intelligent Decision Making in Engineering (Advances in Computational Intelligence and Robotics)
Advanced Problem Solving Using Maple Applied Mathematics, Operations, Research, Business Analytics, and Decision Analysis
AI, Blockchain and Self-Sovereign Identity in Higher Education (Advanced Sciences and Technologies for Security Applications)
Multiple Criteria Decision-Making Methods: Applications for Managerial Discretion (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 14)
Deep Learning With Python Advanced and Effective Strategies of Using Deep Learning with Python Theories
Cybersecurity and Artificial Intelligence: Transformational Strategies and Disruptive Innovation (Advanced Sciences and Technologies for Security Applications)
Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis (Studies in Systems, Decision and Control Book 471)
Advanced Methods and Deep Learning in Computer Vision
Advanced Strength and Conditioning An Evidence-Based Approach
The Collective Dream in Art: A Psycho-Historical Theory of Culture Based on Relations between the Arts, Psychology, and the Social Sciences
Session-Based Recommender Systems Using Deep Learning
Session-Based Recommender Systems Using Deep Learning
AlphaGo Simplified: Rule-Based AI and Deep Learning
Practical Deep Learning A Python-Based Introduction
Advanced Deep Learning Applications in Big Data Analytics
Advanced Spiritual Intimacy: The Yoga of Deep Tantric Sensuality
Biosensor Based Advanced Cancer Diagnostics: From Lab to Clinics
Advanced Mechanics of Materials and Applied Elasticity, Sixth Edition (Prentice Hall International Series in the Physical and Chemical Engineering Sciences)
Practical MATLAB Deep Learning: A Project-Based Approach