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Data Mining: Practical Machine Learning Tools and Techniques

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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition

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

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Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

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Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

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Data Mining For Dummies

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Pattern Recognition and Machine Learning (Information Science and Statistics)

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Introduction to Machine Learning with Python: A Guide for Data Scientists

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Machine Learning Engineering

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Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R

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Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management

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Data Without Labels: Practical unsupervised machine learning

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Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python

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The Alignment Problem: Machine Learning and Human Values

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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

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The Kaggle Book: Master data science competitions with machine learning, GenAI, and LLMs

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Practical Machine Learning in R

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Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

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Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

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Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning

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Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)

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Machine Learning with Python for Everyone (Addison-Wesley Data & Analytics Series)

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Introduction to Data Mining

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Resultados de búsquedas en

Data Mining: Practical Machine Learning Tools and Techniques

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition

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

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Data Mining For Dummies

Pattern Recognition and Machine Learning (Information Science and Statistics)

Introduction to Machine Learning with Python: A Guide for Data Scientists

Machine Learning Engineering

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R

Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management

Data Without Labels: Practical unsupervised machine learning

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python

The Alignment Problem: Machine Learning and Human Values

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

The Kaggle Book: Master data science competitions with machine learning, GenAI, and LLMs

Practical Machine Learning in R

Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning

Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)

Machine Learning with Python for Everyone (Addison-Wesley Data & Analytics Series)

Introduction to Data Mining

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Resultados de búsquedas en

data mining learn

Data Mining: Practical Machine Learning Tools and Techniques

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition

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

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Data Mining For Dummies

Pattern Recognition and Machine Learning (Information Science and Statistics)

Introduction to Machine Learning with Python: A Guide for Data Scientists

Machine Learning Engineering

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R

Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management

Data Without Labels: Practical unsupervised machine learning

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python

The Alignment Problem: Machine Learning and Human Values

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

The Kaggle Book: Master data science competitions with machine learning, GenAI, and LLMs

Practical Machine Learning in R

Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning

Data Mining: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)

Machine Learning with Python for Everyone (Addison-Wesley Data & Analytics Series)

Introduction to Data Mining

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Apple iPad (2018 Model) with Wi-Fi only 32GB Apple 9.7in iPad - Space Gray (Renewed)

Apple MacBook Pro 2015 13.3in Retina Laptop Intel i5 Dual Core 2.6GHz 8GB 512GB SSD - MGX72LL/A (Excellent Refurbished)

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