BOOKS - PROGRAMMING - Machine Learning for Industrial Applications
Machine Learning for Industrial Applications - Kolla Bhanu Prakash 2024 PDF Wiley-Scrivener BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
9312

Telegram
 
Machine Learning for Industrial Applications
Author: Kolla Bhanu Prakash
Year: 2024
Pages: 330
Format: PDF
File size: 18.7 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Unsupervised Domain Adaptation: Recent Advances and Future Perspectives (Machine Learning: Foundations, Methodologies, and Applications)
Feature Engineering for Modern Machine Learning with Scikit-Learn Advanced Data Science and Practical Applications
Fusion of Machine Learning Paradigms: Theory and Applications (Intelligent Systems Reference Library Book 236)
Hybrid Metaheuristics in Structural Engineering: Including Machine Learning Applications (Studies in Systems, Decision and Control, 480)
Machine Learning for Healthcare Systems: Foundations and Applications (River Publishers Series in Computing and Information Science and Technology)
Blueprints for Text Analytics Using Python Machine Learning-Based Solutions for Common Real World (NLP) Applications
Python Machine Learning A Complete Guide for Beginners on Machine Learning and Deep Learning with Python
Python Machine Learning Machine Learning and Deep Learning with Python, scikit-learn and Tensorflow
Machine Learning for Beginners An Introduction to Artificial Intelligence and Machine Learning
Machine Learning Interviews: Kickstart Your Machine Learning and Data Career
Practical Machine Learning with R and Python Machine Learning in Stereo, Third Edition
Machine Learning For Network Traffic and Video Quality Analysis Develop and Deploy Applications Using javascript and Node.js
Machine Learning For Network Traffic and Video Quality Analysis Develop and Deploy Applications Using javascript and Node.js
Ultimate MLOps for Machine Learning Models Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Ultimate MLOps for Machine Learning Models Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps
Machine Learning For Beginners A Math Free Introduction for Business and Individuals to Machine Learning, Big Data, Data Science, and Neural Networks
Unsupervised Machine Learning in Python Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and Principal Components Analysis
Hands-On Machine Learning with Scikit-Learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
Machine Learning Hero Master Data Science with Python Essentials Machine Learning with Python Hands-On Guide from Beginner to Expert (Mastering the AI Revolution Book 1)
Hacker|s Guide to Machine Learning with Python Hands-on guide to solving real-world Machine Learning problems with Scikit-Learn, TensorFlow 2, and Keras
Fundamentals of Machine & Deep Learning A Complete Guide on Python Coding for Machine and Deep Learning with Practical Exercises for Learners (Sachan Book 102)
Python Machine Learning Is The Complete Guide To Everything You Need To Know About Python Machine Learning Keras, Numpy, Scikit Learn, Tensorflow, With Useful Exercises and examples
Machine Learning for Emotion Analysis in Python: Build AI-powered tools for analyzing emotion using natural language processing and machine learning
Python Machine Learning A Hands-On Beginner|s Guide to Effectively Understand Artificial Neural Networks and Machine Learning Using Python
Ultimate Machine Learning with ML.NET Build, Optimize, and Deploy Powerful Machine Learning Models for Data-Driven Insights with ML.NET, Azure Functions, and Web API
Python Machine Learning Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine Learning Models in Order to Build Intelligent Systems
Data Science and Machine Learning Interview Questions Using R: Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
Data Science and Machine Learning Interview Questions Using R Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
Ultimate Machine Learning with ML.NET: Build, Optimize, and Deploy Powerful Machine Learning Models for Data-Driven Insights with ML.NET, Azure Functions, and Web API (English Edition)
Python Machine Learning for Beginners Unlocking the Power of Data. A Beginner|s Guide to Machine Learning with Python
Python Machine Learning for Beginners Unlocking the Power of Data. A Beginner|s Guide to Machine Learning with Python
Python Machine Learning for Beginners: Unlocking the Power of Data. A Beginner|s Guide to Machine Learning with Python
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
The Art of Machine Learning: A Hands-On Guide to Machine Learning with R
The Art of Machine Learning A Hands-On Guide to Machine Learning with R
Machine Learning Q and AI 30 Essential Questions and Answers on Machine Learning and AI
The Art of Machine Learning A Hands-On Guide to Machine Learning with R
Machine Learning Q and AI 30 Essential Questions and Answers on Machine Learning and AI
AI and ML for Coders A Comprehensive Guide to Artificial Intelligence and Machine Learning Techniques, Tools, Real-World Applications, and Ethical Considerations for Modern Programmers
AI and ML for Coders A Comprehensive Guide to Artificial Intelligence and Machine Learning Techniques, Tools, Real-World Applications, and Ethical Considerations for Modern Programmers