Practical Data Mining

Data Mining with Microsoft SQL Server 2008 (Paperback)

Statistical Data Analytics Foundations for Data Mining, Informatics, a

Machine Learning: a Concise Introduction

Data Mining Methods and Applications

An Introduction to Statistics and Data Analysis Using Stata

Textbook of Machine Learning and Data Mining: with Bioinformatics Applications

Machine Learning and Data Mining

Microsoft Data Mining

Machine Learning: Concepts Techniques and Applications (Hardcover)

Machine Learning and Artificial Intelligence with Industrial Applications: From Big Data to Small Data

An Introduction to Statistics and Data Analysis Using Stata

Hands-On Data Science and Python Machine Learning: Perform data mining and machine learning efficiently using Python and Spark

Data Science Concepts and Techniques with Applications

Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications

Becoming a Data Head How to Think, Speak, and Understand Data Science,

Becoming a Data Head How to Think, Speak, and Understand Data Science,

Data Analysis and Data Mining: An Introduction

Applications of Data Mining to Electronic Commerce (Paperback)

Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)

Machine Learning with Python: A Practical Beginners Guide (Machine Learning with Python for Beginners)

Data Mining and Predictive Analytics for Business

Handbook of Big Data

An Introduction to Data Science With Python

An Introduction to Data Science With Python

Applied Data Mining for Business 2e (Hardcover)

Machine Learning and Big Data Concepts, Algorithms

Advanced Data Mining

Python Data Analytics

Machine Learning with PySpark

Advances in Knowledge Discovery and Data Mining: 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part IV

Fundamentals of Machine Learning for Predictive Data Analytics, second edition Algorithms, Worked Examples, and Case Studies

Machine Learning: Ecml 2005: 16th European Conference on Machine Learning Porto Portugal October 3-7 2005 Proceedin (Paperback)

Data Mining: Theories, Algorithms, and Examples

Machine Learning for Absolute Beginners: A Plain English Introduction

Introduction to Artificial Intelligence and Machine Learning A Hands-on Approach Using Python

Data Analytics Applications Data Analytics and AI (Paperback)

Machine Learning For Beginners Guide Algorithms: Supervised & Unsupervsied Learning. Decision Tree & Random Forest Introduction

Practical Machine Learning With Rust

Addison-Wesley Data & Analytics Just Enough Data Science and Machine Learning: Essential Tools and Techniques (Paperback)

Machine Learning A Concise Introduction

Statistical Machine Learning

Pattern Recognition Algorithms for Data Mining

Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)

Data Analysis and Applications 1 Clustering and Regression, Modeling-estimating, Forecasting and Data Mining

Algorithms for Data Science

Machine Learning: For Beginners – Your Comprehensive Guide For Markov Models, Reinforced Learning, Model Evaluation, SVM, Naïves Bayes Classifier

Chapman & Hall/CRC Data Mining and Knowl Data Science and Analytics with Python (Hardcover)