Machine Learning Mastery: Shaping the Future with Algorithms
Daniel Foster
Machine Learning Mastery: Shaping the Future with Algorithms: Unlocking Insights Through Predictive Machine Learning is a must-read for anyone who wants to learn more about the fast-paced field of machine learning. The ideas, techniques, and applications of machine learning are covered in detail in this book, which is suitable for both new and experienced users.
In its parts, the book breaks down difficult ideas like supervised and unsupervised learning, deep learning, and reinforcement learning in a way that is easy to understand. Readers will learn how to use strong algorithms to get useful information from very large datasets. This will help them make smart choices in many fields, such as technology, healthcare, and finance.
One thing that makes this book stand out is that it combines theoretical background with real-life examples and hands-on tasks. This gives readers the skills to use well-known computer languages and frameworks to implement machine learning techniques, which helps them fully grasp how these algorithms work in real life.
Also, the book stresses how important prediction modeling is and shows how data-driven insights can lead to new ideas and better operations. By the end of this journey, readers will have the information and skills they need to confidently move through the changing world of machine learning.
Duration - 3h 56m.
Author - Daniel Foster.
Narrator - Daniel Foster.
Published Date - Sunday, 21 January 2024.
Copyright - © 2024 Crater Publication LLC ©.
Location:
United States
Description:
Machine Learning Mastery: Shaping the Future with Algorithms: Unlocking Insights Through Predictive Machine Learning is a must-read for anyone who wants to learn more about the fast-paced field of machine learning. The ideas, techniques, and applications of machine learning are covered in detail in this book, which is suitable for both new and experienced users. In its parts, the book breaks down difficult ideas like supervised and unsupervised learning, deep learning, and reinforcement learning in a way that is easy to understand. Readers will learn how to use strong algorithms to get useful information from very large datasets. This will help them make smart choices in many fields, such as technology, healthcare, and finance. One thing that makes this book stand out is that it combines theoretical background with real-life examples and hands-on tasks. This gives readers the skills to use well-known computer languages and frameworks to implement machine learning techniques, which helps them fully grasp how these algorithms work in real life. Also, the book stresses how important prediction modeling is and shows how data-driven insights can lead to new ideas and better operations. By the end of this journey, readers will have the information and skills they need to confidently move through the changing world of machine learning. Duration - 3h 56m. Author - Daniel Foster. Narrator - Daniel Foster. Published Date - Sunday, 21 January 2024. Copyright - © 2024 Crater Publication LLC ©.
Language:
English
Opening Credits
Duration:00:00:14
2 introduction
Duration:00:01:41
3 chapter 1
Duration:00:41:01
4 chapter 2
Duration:00:43:46
5 chapter 3
Duration:00:50:35
6 chapter 4
Duration:00:39:47
7 chapter 5
Duration:00:36:07
8 chapter 6
Duration:00:21:44
9 conclusion
Duration:00:01:18
Ending Credits
Duration:00:00:14