Sign-In
Cart
Machine Learning for Data Mining: Improve your data mining capabilities with advanced predictive modeling
Paperback
ISBN13: 9781838828974
Publisher: Packt Publishing
Published: Apr 30 2019
Pages: 252
Weight: 0.97
Height: 0.53 Width: 7.50 Depth: 9.25
Language: English
Get efficient in performing data mining and machine learning using IBM SPSS Modeler
Key Features:
- Learn how to apply machine learning techniques in the field of data science
- Understand when to use different data mining techniques, how to set up different analyses, and how to interpret the results
- A step-by-step approach to improving model development and performance
Book Description:
Machine learning (ML) combined with data mining can give you amazing results in your data mining work by empowering you with several ways to look at data. This book will help you improve your data mining techniques by using smart modeling techniques.
This book will teach you how to implement ML algorithms and techniques in your data mining work. It will enable you to pair the best algorithms with the right tools and processes. You will learn how to identify patterns and make predictions with minimal human intervention. You will build different types of ML models, such as the neural network, the Support Vector Machines (SVMs), and the Decision tree. You will see how all of these models works and what kind of data in the dataset they are suited for. You will learn how to combine the results of different models in order to improve accuracy. Topics such as removing noise and handling errors will give you an added edge in model building and optimization.
By the end of this book, you will be able to build predictive models and extract information of interest from the dataset
What You Will Learn:
- Hone your model-building skills and create the most accurate models
- Understand how predictive machine learning models work
- Prepare your data to acquire the best possible results
- Combine models in order to suit the requirements of different types of data
- Analyze single and multiple models and understand their combined results
- Derive worthwhile insights from your data using histograms and graphs
Who this book is for:
If you are a data scientist, data analyst, and data mining professional and are keen to achieve a 30% higher salary by adding machine learning to your skillset, then this is the ideal book for you. You will learn to apply machine learning techniques to various data mining challenges. No prior knowledge of machine learning is assumed.
Also from
Salcedo, Jesus
Also in
Databases
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Kleppmann, Martin
Riccomini, Chris
Paperback
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Housley, Matt
Reis, Joe
Paperback
Observability Engineering: Achieving Production Excellence
Fong-Jones, Liz
Miranda, George
Majors, Charity
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Hardcover
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
Kimball, Ralph
Ross, Margy
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Paperback
Ai-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Bruce, Andrew
Gedeck, Peter
Bruce, Peter
Paperback
Learning Tableau 2025 - Sixth Edition: Leverage Tableau's newest features to revolutionize your data storytelling with AI-enhanced insights
Milligan, Joshua N.
Paperback
The Data Storyteller's Handbook: How to create business impact using data storytelling
Greenbrook, Kat
Paperback
Database Systems: Introduction to Databases and Data Warehouses, Edition 2.0
Jukic, Nenad
Vrbsky, Susan
Sharma, Abhishek
Paperback
Microsoft Power Bi Data Analyst Associate Study Guide: Prepare for the Pl-300 Exam and Use Power Bi Successfully
Turley, Paul
Paperback
High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark
Karau, Holden
Polak, Adi
Warren, Rachel
Paperback
SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights
Tanimura, Cathy
Paperback
Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems
Konieczny, Bartosz
Paperback
Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools
Bonifield, James
Paperback
Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, Second Edition
Pelechrinis, Konstantinos
Winston, Wayne L.
Nestler, Scott
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Paperback
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Goldmeier, Jordan
Gutman, Alex J.
Paperback
SQL Server 2025 Unveiled: The Ai-Ready Enterprise Database with Microsoft Fabric Integration
Ward, Bob
Paperback
Observability Engineering: Achieving Production Excellence
Majors, Charity
Fong-Jones, Liz
Miranda, George
Paperback
Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice
Alhussein, Derar
Paperback
PR Technology, Data and Insights: Igniting a Positive Return on Your Communications Investment
Weiner, Mark
Paperback
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
Sivaram, Rajini
Shapira, Gwen
Palino, Todd
Paperback
Turning Data into Wisdom: How We Can Collaborate with Data to Change Ourselves, Our Organizations, and Even the World
Hanegan, Kevin
Paperback
Head First Algorithms and Data Structures: A Learner's Guide to the Foundations of Computing
Freeman, Eric
Robson, Elisabeth
Paperback
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Graesser, Laura
Keng, Wah Loon
Paperback
Product Operations: How successful companies build better products at scale
Perri, Melissa
Tilles, Denise
Paperback
Databricks Data Intelligence Platform: Unlocking the Genai Revolution
Gupta, Nikhil
Yip, Jason
Paperback
High Performance Python: Practical Performant Programming for Humans
Ozsvald, Ian
Gorelick, Micha
Paperback
Data Contracts: Developing Production-Grade Pipelines at Scale
Sanderson, Chad
Schmidt, B. E.
Freeman, Mark
Paperback
ML and Generative AI in the Data Lakehouse: Building and Deploying AI Applications at Scale
Haelen, Bennie
Paperback
Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code
Mauro, Andrea de
Paperback
SQL Cookbook: Query Solutions and Techniques for All SQL Users
Molinaro, Anthony
Graaf, Robert de
Paperback
Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib
Johansson, Robert
Paperback
Data Analytics & Visualization All-In-One for Dummies
Massaron, Luca
Hyman, Jack A.
McFedries, Paul
Paperback
Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python
Molin, Stefanie
Paperback
Kafka for Architects: Event-Driven Architecture, Logs, Microservices, Real-Time Event Processing
Gorshkova, Katya
Paperback
Data Governance with Unity Catalog on Databricks: Implement Data and AI Governance with Databricks Data Intelligence Platform
Subbarao, Karthik
Sreekumar, Kiran
Paperback
Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success
Seiner, Robert
Paperback
Ai-Ready Data Blueprints: From Raw Data to Ai-Driven Innovation
Pham, Kien
Sopirala, Srikanth
Shukla, Navnit
Paperback
The Data Center as a Computer: Designing Warehouse-Scale Machines
Ranganathan, Parthasarathy
Barroso, Luiz André
Hölzle, Urs
Hardcover
Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Hughes, Jason
Merced, Alex
Shiran, Tomer
Paperback
Advanced Snowflake: Processing Data, Developing Applications, and Deploying ML Models at Scale
Ullah, Muhammad Fasih
Paperback
Learning Ransomware Response & Recovery: Stopping Ransomware One Restore at a Time
Preston, W. Curtis
Saylor, Michael
Paperback
SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance
Fritchey, Grant
Paperback
Microsoft Power Bi Visual Calculations: Simplifying Dax
Lelijveld, Marc
Ter Heerdt, Jeroen
Stikkelorum, Madzy
Paperback
Learning Statistics with Jamovi: A Tutorial for Beginners in Statistical Analysis
Navarro, Danielle
Foxcroft, David
Paperback
Real-Time Intelligence with Microsoft Fabric: Empowering Data-Driven Decisions in the Era of AI
Geisler, Frank
Brattã S. Johan Ludvig
Paperback
iPhone 11 Pro Max Guide: Learn Step-By-Step How To Use Your iPhone Pro Max Step-By-Step
Meyer, Albrecht
Paperback
Fusion Strategy: How Real-Time Data and AI Will Power the Industrial Future
Venkatraman, Venkat
Govindarajan, Vijay
Hardcover
Data Pipelines with Apache Airflow, Second Edition: Orchestration for Data and AI
Cabral, Ismael
Geusebroek, Kris
Ruiter, Julian de
Paperback
Building Data Integration Solutions: Unifying Data for Enhanced Decision Making
Borthen, Jay
Paperback
Apache Hudi: The Definitive Guide: Building Robust, Open, and High-Performing Data Lakehouses
Wason, Prashant
Saktheeswaran, Bhavani Sudha
Xu, Shiyan
Paperback
Diseño de Bases de Datos - Un enfoque práctico: Aprende a diseñar bases de datos desde el modelo conceptual hasta el modelo relacional con esta guía p
Garrido Barrientos, Sergio
Paperback
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are
Stephens-Davidowitz, Seth
Paperback
Data Governance Change Management: From Drift to Direction-Why Every Data Leader Needs an ANCHOR
Agrawal, Arvind
Agrawal, Aakriti
Paperback
Mastering PostgreSQL 17 - Sixth Edition: Elevate your database skills with advanced deployment, optimization, and security strategies
Schönig, Hans-Jürgen
Paperback
PostgreSQL 16 Administration Cookbook: Solve real-world Database Administration challenges with 180+ practical recipes and best practices
Mejías, Boriss
Angelakos, Jimmy
Ciolli, Gianni
Paperback
Practical Natural Language Processing: A Comprehensive Guide to Building Real-World Nlp Systems
Vajjala, Sowmya
Majumder, Bodhisattwa
Gupta, Anuj
Paperback
Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World, 3rd Edition
Kent, William
Paperback
Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema
Stagnitto, Jim
Corr, Lawrence
Paperback
Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes
Lee, Denny
Wentling, Tristen
Haines, Scott
Paperback
Diseño de Aplicaciones Con USO Intensivo En Datos (Spanish Edition): Las Grandes Ideas Detrás de Los Sistemas Confiables, Escalables Y Mantenibles
Riccomini, Chris
Kleppmann, Martin
Paperback
Unlocking Dbt: Design and Deploy Transformations in Your Cloud Data Warehouse
Cyr, Cameron
Dorsey, Dustin
Paperback
Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
Eager, Eric A.
Erickson, Richard a.
Paperback
How to Interpret Data: Using Data to Improve Your Influence and Decision-Making
Kelly, Nicholas
Paperback
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Friedman, Jerome
Hastie, Trevor
Tibshirani, Robert
Hardcover
The Data Product Playbook: Designing and Delivering Data Products that Power Decisions, Analytics, and AI
Koenders, Willem
Paperback
Big Data in Der Mobilität: Akteure, Geschäftsmodelle Und Nutzenpotenziale Für Die Welt Von Morgen
Knorre, Susanne
Müller-Peters, Horst
Gatzert, Nadine
Paperback
Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at Scale
Russa, Hélder
Machado, Rui
Paperback
SQL for Data Analytics - Fourth Edition: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
Li, Haibin
Goldwasser, Matt
Shan, Jun
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Hardcover
Architecting an Apache Iceberg Lakehouse: A Scalable, Open-Source Data Platform
Merced, Alex
Paperback
Apache Polaris: The Definitive Guide: Enriching Apache Iceberg Data Lakehouses with an Open Source Catalog
Shiran, Tomer
Madson, Andrew
Merced, Alex
Paperback
Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI
Ehrenmueller-Jensen, Markus
Paperback
Natural Language Processing with Pytorch: Build Intelligent Language Applications Using Deep Learning
Rao, Delip
McMahan, Brian
Paperback
The Expert's Guide to SQL Server: Tuning, Security, and Cloud Migration
Pasam, Venkata Reddy
Andiappan, Petchikumar
Paperback
Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with UNIX Power Tools
Janssens, Jeroen
Paperback
Data Center Critical Facilities Migration from Construction to Operations
K. Tidjani, Yekini
Paperback
Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications
Hueske, Fabian
Kalavri, Vasiliki
Paperback
Learn PostgreSQL - Second Edition: Use, manage and build secure and scalable databases with PostgreSQL 16
Pirozzi, Enrico
Ferrari, Luca
Paperback
SQL in a Week: A Fast-Track Guide to Writing and Optimizing Queries Like a Pro
Dubey, Devtosh
Shah, Bhumika
Paperback
A Comprehensive Introduction to Python: From the Basics to Data Analytics: From the Basics to Data Analytics
Masloff, Jackie
Paperback
Statistics Every Programmer Needs: Practical Python Implementations and Quantitative Methods
Sutton, Gary
Paperback
SAP S/4hana Financial Accounting Certification Guide: Application Associate Exam
Pougkas, Stefanos
Paperback
From Data to Dollars: Getting Started with Data Analytics and AI in Startups
Sidoruk, Piotr
Paperback
Inteligencia Artificial Con Python: Sistemas de aprendizaje, Machine Learning y Deep Learning explicados de forma clara y práctica.
Selles Rodenas, Juan Ignacio
Paperback
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
Crickard, Paul
Paperback
Data Modeling for MongoDB: Building Well-Designed and Supportable MongoDB Databases
Hoberman, Steve
Paperback
SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis
Teate, Renee M. P.
Paperback
Databricks Data Intelligence Platform: Powering the Agentic Era
Gupta, Nikhil
Wojtyczka, Marcin
Yip, Jason
Paperback