BOOKS - PROGRAMMING - Handbook of Machine Learning for Computational Optimization App...
Handbook of Machine Learning for Computational Optimization Applications and Case Studies - Vishal Jain, Sapna Juneja 2022 PDF CRC Press BOOKS PROGRAMMING
ECO~14 kg CO²

1 TON

Views
52489

Telegram
 
Handbook of Machine Learning for Computational Optimization Applications and Case Studies
Author: Vishal Jain, Sapna Juneja
Year: 2022
Pages: 295
Format: PDF
File size: 16.1 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
Machine Learning and Deep Learning in Neuroimaging Data Analysis
Distributional Reinforcement Learning (Adaptive Computation and Machine Learning)
Machine Learning and Deep Learning in Natural Language Processing
Statistical Reinforcement Learning Modern Machine Learning Approaches
Machine Learning and Deep Learning in Neuroimaging Data Analysis
Machine Learning - A Journey To Deep Learning With Exercises And Answers
Machine Learning and Deep Learning in Real-Time Applications
Machine Learning and Deep Learning in Natural Language Processing
How to Speak Machine Computational Thinking for the Rest of Us
Python Machine Learning for Beginners Learning from Scratch Numpy, Pandas, Matplotlib, Seaborn, SKlearn and TensorFlow 2.0
Generative AI with Python Harnessing The Power Of Machine Learning And Deep Learning To Build Creative And Intelligent Systems
Default Loan Prediction Based On Customer Behavior Using Machine Learning And Deep Learning With Python, Second Edition
Handbook of Computational Sciences
Handbook of computational geometry
Learning Genetic Algorithms with Python Empower the Performance of Machine Learning and AI Models with the Capabilities of a Powerful Search Algorithm
Machine Learning. Supervised Learning Techniques and Tools Nonlinear Models Exercises with R, SAS, STATA, EVIEWS and SPSS
Data Scientist Pocket Guide Over 600 Concepts, Terminologies, and Processes of Machine Learning and Deep Learning Assembled
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Final Release)
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Final Release)
Programming Machine Learning From Coding to Deep Learning
Machine Learning in Elixir Learning to Learn with Nx and Axon
Machine Learning in Elixir Learning to Learn with Nx and Axon
Methodologies and Applications of Computational Statistics for Machine Intelligence
Data Science Crash Course Thyroid Disease Classification and Prediction Using Machine Learning and Deep Learning with Python GUI, Second Edition
Machine Learning: Fundamental Algorithms for Supervised and Unsupervised Learning With Real-World Applications (Advanced Data Analytics Book 1)
The Cambridge Handbook of Computational Psychology
Computational Statistics Handbook with MATLAB
Computational Intelligence In Manufacturing Handbook
Handbook of Discrete and Computational Geometry, Third Edition
Machine Learning for Materials Discovery: Numerical Recipes and Practical Applications (Machine Intelligence for Materials Science)
Computational Statistics Handbook with MATLAB, 2nd Edition
Handbook of Computational Sciences A Multi and Interdisciplinary Approach
Handbook of Computational Sciences A Multi and Interdisciplinary Approach
Computational Statistics Handbook with MATLAB, 3rd Edition
Various Deep Learning Algorithms in Computational Intelligence
Code as Creative Medium: A Handbook for Computational Art and Design
Code as Creative Medium A Handbook for Computational Art and Design
Computational Methods for Deep Learning (2nd Edition)
Machine Learning for Beginners A Math Guide to Mastering Deep Learning and Business Application. Understand How Artificial Intelligence, Data Science, and Neural Networks Work Through Real Examples