BOOKS - OS AND DB - Data Mining Concepts, Models, Methods, and Algorithms, Third Edit...
Data Mining Concepts, Models, Methods, and Algorithms, Third Edition - Mehmed Kantardzic 2019 PDF Wiley-IEEE Press BOOKS OS AND DB
ECO~23 kg CO²

2 TON

Views
73860

Telegram
 
Data Mining Concepts, Models, Methods, and Algorithms, Third Edition
Author: Mehmed Kantardzic
Year: 2019
Pages: 672
Format: PDF
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Big Data, Big Design Why Designers Should Care about Artificial Intelligence
Court on Trial: A Data-Driven Account of the Supreme Court of India
Augmented Analytics: Enabling Analytics Transformation for Data-Informed Decisions
Disease Prediction using Machine Learning, Deep Learning and Data Analytics
50 javascript Concepts Every Developer Should Know The Perfect Guide Every javascript Developer Needs to Get Started
50 javascript Concepts Every Developer Should Know The Perfect Guide Every javascript Developer Needs to Get Started
Design, User Experience, and Usability: Design Thinking and Methods: 5th International Conference, DUXU 2016, Held as Part of HCI International 2016, … Applications, incl. Internet Web, and HCI)
Collect, Combine, and Transform Data Using Power Query in Power BI and Excel, 2nd Edition
Data Management for Social Scientists: From Files to Databases (Methodological Tools in the Social Sciences)
End-to-End Quality of Service over Cellular Networks Data Services Performance Optimization in 2G/3G
Econometric Python Harnessing Data Science for Economic Analysis The Science of Pythonomics in 2024
Building an Enterprise Chatbot: Work with Protected Enterprise Data Using Open Source Frameworks
Econometric Python: Harnessing Data Science for Economic Analysis: The Science of Pythonomics in 2024
Advanced Analytics with Excel 2019 Perform Data Analysis Using Excel’s Most Popular Features
Fundamentals of Metadata Management Succeed with Data, Information, and Knowledge Management (Early Release)
Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making Optimization Applications
Essential Guide to LLMOps: Implementing effective LLMOps strategies and tools from data to deployment
Data Engineering for Machine Learning Pipelines From Python Libraries to ML Pipelines and Cloud Platforms
Parabolic Equations with Irregular Data and Related Issues: Applications to Stochastic Differential Equations
Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines
Data-Driven Scheduling of Semiconductor Manufacturing Systems (Advanced and Intelligent Manufacturing in China)
Practical Reliability Data Analysis for Non-reliability Engineers (Technology Management and Professional Development)
Augmented Analytics Enabling Analytics Transformation for Data-Informed Decisions (Final Release)
Readings in Database Systems, Third Edition (The Morgan Kaufmann Series in Data Management Systems)
Microsoft Excel Pivot Table Data Crunching (Office 2021 and Microsoft 365)
Augmented Analytics Enabling Analytics Transformation for Data-Informed Decisions (Final Release)
Hands-On Website Scraping with Python Crawling data scraping with Beautiful Soup, Selenium and more
Hands-on Splunk on AWS Complete guide to deploying and administering Splunk for data analysis
Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover
Successful Business Intelligence, Second Edition Unlock the Value of BI & Big Data 2nd Edition
Data Analytics for Supply Chain Networks (Greening of Industry Networks Studies Book 11)
The Clojure Workshop: Use functional programming to build data-centric applications with Clojure and ClojureScript
Data Structures and Algorithms with Python With an Introduction to Multiprocessing, 2nd Edition 2024 Edition
Cost-Effective Data Pipelines: Balancing Trade-Offs When Developing Pipelines in the Cloud
Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making Optimization Applications
Mastering Azure Analytics Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark
Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python (FT Press Analytics)
Excel BI and Dashboards in 7 Days Build interactive dashboards for powerful data visualization and insights
Fundamentals of Metadata Management Succeed with Data, Information, and Knowledge Management (Early Release)
Excel BI and Dashboards in 7 Days Build interactive dashboards for powerful data visualization and insights