
Introduction to Machine Learning for Big Data
Ben Rizer
In an era where data is generated at an unprecedented rate, organizations are faced with the challenge of not just managing vast amounts of information, but also extracting meaningful insights from it. "Introduction to Machine Learning for Big Data: Building Intelligent Systems to Transform Data into Knowledge" is a comprehensive guide designed to equip readers with the knowledge and skills necessary to harness the power of machine learning in the context of big data.
This book takes you on a journey through the foundational concepts of machine learning, tailored specifically for large-scale data environments. Readers will explore various types of machine learning algorithms, understand their applications, and learn how to implement these techniques to uncover hidden patterns and drive informed decision-making.
This book provides a clear roadmap for navigating the complexities of big data and machine learning. With a focus on building intelligent systems, it empowers readers to turn raw data into valuable knowledge, driving innovation and competitive advantage in their respective fields. Unlock the potential of your data today and embark on a transformative journey toward data-driven intelligence.
Duration - 3h 34m.
Author - Ben Rizer.
Narrator - Sam Finley.
Published Date - Wednesday, 15 January 2025.
Copyright - © 2025 Ben Rizer ©.
Location:
United States
Description:
In an era where data is generated at an unprecedented rate, organizations are faced with the challenge of not just managing vast amounts of information, but also extracting meaningful insights from it. "Introduction to Machine Learning for Big Data: Building Intelligent Systems to Transform Data into Knowledge" is a comprehensive guide designed to equip readers with the knowledge and skills necessary to harness the power of machine learning in the context of big data. This book takes you on a journey through the foundational concepts of machine learning, tailored specifically for large-scale data environments. Readers will explore various types of machine learning algorithms, understand their applications, and learn how to implement these techniques to uncover hidden patterns and drive informed decision-making. This book provides a clear roadmap for navigating the complexities of big data and machine learning. With a focus on building intelligent systems, it empowers readers to turn raw data into valuable knowledge, driving innovation and competitive advantage in their respective fields. Unlock the potential of your data today and embark on a transformative journey toward data-driven intelligence. Duration - 3h 34m. Author - Ben Rizer. Narrator - Sam Finley. Published Date - Wednesday, 15 January 2025. Copyright - © 2025 Ben Rizer ©.
Language:
English
Opening Credits
Duration:00:00:11
Introduction to machine learning for big data
Duration:00:16:33
Deep learning with big data using tensor flow and py torch
Duration:00:18:09
Managing and storing big data
Duration:00:18:25
Working with real time big data streaming with python
Duration:00:15:39
Optimizing performance for big data applications
Duration:00:56:29
Case studies and practical applications
Duration:00:52:32
Future trends in machine learning and big data
Duration:00:17:58
Resources and further reading
Duration:00:18:21
Ending Credits
Duration:00:00:11