BOOKS - PROGRAMMING - Applied Machine Learning for Smart Data Analysis (Computational...
Applied Machine Learning for Smart Data Analysis (Computational Intelligence in Engineering Problem Solving) - Nilanjan Dey(Editor), Sanjeev Wagh (Editor), Parikshit N. Mahalle (Editor), Mohd. Shafi Pathan (Editor) 2019 PDF CRC Press BOOKS PROGRAMMING
ECO~14 kg CO²

1 TON

Views
83333

Telegram
 
Applied Machine Learning for Smart Data Analysis (Computational Intelligence in Engineering Problem Solving)
Author: Nilanjan Dey(Editor), Sanjeev Wagh (Editor), Parikshit N. Mahalle (Editor), Mohd. Shafi Pathan (Editor)
Year: 2019
Pages: 243
Format: PDF
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Machine Learning with Python Master Pandas, Scikit-learn, and TensorFlow for Building Smart IA Models
GoLang for Machine Learning: A Hands-on-Guide to Building Efficient, Smart and Scalable ML Models with Go Programming
Machine Learning with Python Master Pandas, Scikit-learn, and TensorFlow for Building Smart IA Models
Machine Learning for Smart learners Discover and Learn About Neural Network, Dataset, Python, Libraries
Data Analytics in Bioinformatics A Machine Learning Perspective
Mathematical Analysis for Machine Learning and Data Mining
Machine Learning and Data Science Fundamentals and Applications
Demystifying Big Data and Machine Learning for Healthcare
Big Data and Machine Learning in Quantitative Investment
Practical Machine Learning for Data Analysis Using Python
Feature Engineering for Machine Learning and Data Analytics
Introduction to Algorithms for Data Mining and Machine Learning
Fundamentals of Data Analytics: With a View to Machine Learning
Machine Learning Concepts, Tools And Data Visualization
Python Programming, Deep Learning 3 Books in 1 A Complete Guide for Beginners, Python Coding for AI, Neural Networks, & Machine Learning, Data Science/Analysis with Practical Exercises for Learners
Scaling Python with Dask: From Data Science to Machine Learning
Handbook of Research on Big Data Clustering and Machine Learning
Data Analytics and Machine Learning for Integrated Corridor Management
Financial Data Analytics with Machine Learning, Optimization and Statistics
Text as Data: A New Framework for Machine Learning and the Social Sciences
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Blockchain, Big Data and Machine Learning Trends and Applications
Data Science and Machine Learning Applications in Subsurface Engineering
Just Enough Data Science and Machine Learning Essential Tools and Techniques
Machine Learning and Data Mining Annual Volume 2023
Data Science and Machine Learning Applications in Subsurface Engineering
Data Analytics and Machine Learning for Integrated Corridor Management
Financial Data Analytics with Machine Learning, Optimization and Statistics
Introduction to Statistical and Machine Learning Methods for Data Science
An Introduction to Optimization with Applications in Machine Learning and Data Analytics
Big Data, IoT, and Machine Learning Tools and Applications
Machine Learning Approach for Cloud Data Analytics in IoT
Just Enough Data Science and Machine Learning Essential Tools and Techniques
Machine Learning and Big Data with kdb+ q (Wiley Finance)
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Data Science and Machine Learning Applications in Subsurface Engineering
Machine Learning and Data Mining Annual Volume 2023
Data Science with Machine Learning Python Interview Questions
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Python for Data Science A step-by-step Python Programming Guide to Master Big Data, Analysis, Machine Learning, and Artificial Intelligence