Data Miner
Chuck Sherman
Data mining is the art of discovering patterns, trends, and relationships buried deep within complex data. With the exponential growth of data in today's digital age, mastering data mining has become a critical skill for individuals and organizations alike. This book serves as your essential roadmap, providing a clear and accessible introduction to the core principles, techniques, and applications of data mining.
Starting with the basics, you will learn about the historical context and evolution of data mining, grasping the foundational concepts and terminology. You'll explore the various types of data and understand the crucial steps of data preprocessing, including data cleaning, transformation, and normalization, ensuring your data is primed for analysis.
Delving into the heart of data mining, the book showcases powerful tools for data exploration and visualization. You'll discover how to unleash the full potential of your data by identifying meaningful patterns and trends, enabling you to make data-driven decisions with confidence.
No data mining journey would be complete without exploring the realm of machine learning. "Data Miner" demystifies the realm of supervised and unsupervised learning techniques, arming you with the knowledge to build predictive models and discover hidden clusters within your data. Embracing the world of ensemble methods, you'll learn to boost the accuracy of your models and master the art of model evaluation.
Looking ahead, the book explores the exciting future trends in data mining, from advancements in machine learning to interdisciplinary collaborations, emphasizing the ever-growing importance of data mining in shaping the world of tomorrow.
Duration - 3h 26m.
Author - Chuck Sherman.
Narrator - Ray Collins.
Published Date - Wednesday, 10 January 2024.
Copyright - © 2024 Chuck Sherman ©.
Location:
United States
Description:
Data mining is the art of discovering patterns, trends, and relationships buried deep within complex data. With the exponential growth of data in today's digital age, mastering data mining has become a critical skill for individuals and organizations alike. This book serves as your essential roadmap, providing a clear and accessible introduction to the core principles, techniques, and applications of data mining. Starting with the basics, you will learn about the historical context and evolution of data mining, grasping the foundational concepts and terminology. You'll explore the various types of data and understand the crucial steps of data preprocessing, including data cleaning, transformation, and normalization, ensuring your data is primed for analysis. Delving into the heart of data mining, the book showcases powerful tools for data exploration and visualization. You'll discover how to unleash the full potential of your data by identifying meaningful patterns and trends, enabling you to make data-driven decisions with confidence. No data mining journey would be complete without exploring the realm of machine learning. "Data Miner" demystifies the realm of supervised and unsupervised learning techniques, arming you with the knowledge to build predictive models and discover hidden clusters within your data. Embracing the world of ensemble methods, you'll learn to boost the accuracy of your models and master the art of model evaluation. Looking ahead, the book explores the exciting future trends in data mining, from advancements in machine learning to interdisciplinary collaborations, emphasizing the ever-growing importance of data mining in shaping the world of tomorrow. Duration - 3h 26m. Author - Chuck Sherman. Narrator - Ray Collins. Published Date - Wednesday, 10 January 2024. Copyright - © 2024 Chuck Sherman ©.
Language:
English
Opening Credits
Duration:00:00:10
I Introduction to data mining
Duration:00:12:57
II Understanding data and data
Duration:00:27:34
III Data exploration and visualization
Duration:00:11:04
IV Supervised learning techniques
Duration:00:18:55
V Unsupervised learning techniques
Duration:00:25:28
VI Ensemble methods and model evaluation
Duration:00:16:03
VII Data mining for big data
Duration:00:45:16
VIII Ethical and legal considerations in
Duration:00:11:54
IX Real world applications of data
Duration:00:15:13
X Future trends in data mining
Duration:00:11:48
XI Conclusion
Duration:00:09:30
Ending Credits
Duration:00:00:11