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
41479

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:

PYTHON 2 Books in 1 Python Programming & Data Science. Master Data Analysis in Less than 7 Days and Discover the Secrets of Machine Learning with Step-by-Step Exercises
Data Science 2 Books in 1 Python Programming & Python for Data Science, The Ultimate Guide to Learn Machine Learning and Predictive Analytics from Scratch with Hands-On Projects
Scaling Python with Dask From Data Science to Machine Learning (Final)
Data-Driven Computational Neuroscience Machine Learning and Statistical Models
Machine Learning and Cryptographic Solutions for Data Protection and Network Security
Machine Learning and Cryptographic Solutions for Data Protection and Network Security
Big Data Analysis Using Machine Learning for Social Scientists and Criminologists
Feature Engineering for Machine Learning Principles and Techniques for Data Scientists
Machine Learning and Cryptographic Solutions for Data Protection and Network Security
Scaling Python with Dask From Data Science to Machine Learning (Final)
Linear Algebra for Data Science, Machine Learning, and Signal Processing
Behavior Analysis with Machine Learning and R A Sensors and Data Driven Approach
Machine Learning in Business An Introduction to the World of Data Science Second Edition
Information-Driven Machine Learning Data Science as an Engineering Discipline
Data Science Fusion Integrating Maths, Python, and Machine Learning
Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner
Information-Driven Machine Learning Data Science as an Engineering Discipline
Linear Algebra for Data Science, Machine Learning, and Signal Processing
Python Programming 2 Books in 1 Python for Data Analysis and Science with Big Data Analysis, Statistics and Machine Learning
The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning
Machine Learning for Signal Processing Data Science, Algorithms, and Computational Statistics
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Data-Driven Science and Engineering Machine Learning, Dynamical Systems, and Control
Statistical Methods for Machine Learning Discover how to Transform Data into Knowledge with Python
Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases
Before Machine Learning, Volume 2 - Calculus for A.I. The fundamental mathematics for Data Science and Artificial Intelligence
No-Code Data Science Mastering Advanced Analytics, Machine Learning, and Artificial Intelligence
Scaling Python with Dask From Data Science to Machine Learning (Sixth Early Release)
Automating Data Quality Monitoring at Scale Scaling Beyond Rules with Machine Learning (Final)
No-Code Data Science Mastering Advanced Analytics, Machine Learning, and Artificial Intelligence
Machine Learning Upgrade A Data Scientist|s Guide to MLOps, LLMs, and ML Infrastructure
Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud
Machine Learning Upgrade A Data Scientist|s Guide to MLOps, LLMs, and ML Infrastructure
Automating Data Quality Monitoring at Scale Scaling Beyond Rules with Machine Learning (Final)
Before Machine Learning Volume 2 - Calculus for A.I: The fundamental mathematics for Data Science and Artificial Intelligence
Linux Fundamentals A Practical Guide for Data Scientists, Machine Learning Engineers, and IT Professionals
Before Machine Learning, Volume 2 - Calculus for A.I. The fundamental mathematics for Data Science and Artificial Intelligence
Machine Learning Pocket Reference Working with Structured Data in Python (First Edition) +code
Building Machine Learning Systems Using Python Practice to Train Predictive Models and Analyze Machine Learning Results
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)