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Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
Introduction to Machine Learning with Python: A Guide for Data Scientists
Introduction to Data Mining (2nd Edition) (What's New in Computer Science)
Training Data for Machine Learning: Human Supervision from Annotation to Data Science
Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
Data Mining-Concepts and Techniques, 2e
Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) 4th Edition
Data Mining: The Textbook
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Principles of Data Mining (Undergraduate Topics in Computer Science) 4th ed. 2020 Edition
Data Mining and Predictive Analytics (Wiley Series on Methods and Applications in Data Mining)
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Warehouse and Data Mining: Concepts, techniques and real life applications (English Edition)
Graph Data Mining: Algorithm, Security and Application (Big Data Management)
INTRODUCTION TO DATA MINING 2ND EDITION
Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies 2nd Edition
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) 2nd Edition
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking 1st Edition
Data Mining For Dummies 1st Edition
Data Mining for the Masses, Third Edition: With Implementations in RapidMiner and R
Data Mining for Business Analytics: Concepts, Techniques and Applications in Python
Process Mining: Data Science in Action
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) 4th Edition
Data Warehouse and Data Mining: Concepts, techniques and real life applications (English Edition)
Data Mining Concepts and Techniques
Data Mining and Machine Learning: Fundamental Concepts and Algorithms 2nd Edition
Data Mining: The Data Mining Guide for Beginners: Including Applications for Business, Data Mining Techniques, Concepts, and More
Data Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems) 2nd Edition
Data Mining in 20 Minutes: (Coffee Book Series)
Probability and Statistics for Machine Learning: A Textbook
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
Data Mining: Concepts, Models, Methods, and Algorithms
Introduction to Data Mining 1st Edition
Machine Learning For Dummies
Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners
Introduction to Data Mining and Analytics
Healthcare Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series)
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R
Machine Learning with R - Third Edition: Expert techniques for predictive modeling 3rd ed. Edition
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics 1st Edition
Machine Learning Engineering
Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps 1st Edition
Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
