Machine Learning (ML) Guide
May Sherry
Unlock the full potential of machine learning with this comprehensive guide that takes you on a deep dive into the essential concepts, methodologies, and applications of ML. Whether you're a novice eager to grasp the basics or an experienced practitioner looking to refine your skills, this book provides a thorough and accessible exploration of machine learning's core principles and advanced techniques.
Machine Learning (ML) Guide is more than just a textbook—it's a comprehensive resource designed to equip you with the knowledge and skills needed to harness the power of machine learning. With clear explanations, practical examples, and actionable insights, this guide will help you navigate the world of ML and apply its principles to real-world challenges.
Embark on your journey to mastering machine learning and unlock new possibilities for data-driven decision-making and innovation.
Duration - 3h 34m.
Author - May Sherry.
Narrator - Sam Finley.
Published Date - Tuesday, 21 January 2025.
Copyright - © 2025 May Sherry ©.
Location:
United States
Description:
Unlock the full potential of machine learning with this comprehensive guide that takes you on a deep dive into the essential concepts, methodologies, and applications of ML. Whether you're a novice eager to grasp the basics or an experienced practitioner looking to refine your skills, this book provides a thorough and accessible exploration of machine learning's core principles and advanced techniques. Machine Learning (ML) Guide is more than just a textbook—it's a comprehensive resource designed to equip you with the knowledge and skills needed to harness the power of machine learning. With clear explanations, practical examples, and actionable insights, this guide will help you navigate the world of ML and apply its principles to real-world challenges. Embark on your journey to mastering machine learning and unlock new possibilities for data-driven decision-making and innovation. Duration - 3h 34m. Author - May Sherry. Narrator - Sam Finley. Published Date - Tuesday, 21 January 2025. Copyright - © 2025 May Sherry ©.
Language:
English
Opening Credits
Duración:00:00:17
1 Introduction to machine learning
Duración:00:22:18
2 Fundamental concepts
Duración:00:23:46
3 Data preparation
Duración:00:22:31
4 Supervised learning techniques
Duración:00:35:33
5 Unsupervised learning techniques
Duración:00:22:41
6 Advanced topics in machine learning
Duración:00:21:37
7 Tools and frameworks
Duración:00:20:23
8 Model deployment and production
Duración:00:11:43
9 Case studies and real world examples
Duración:00:10:02
10 Future directions and emerging trends
Duración:00:23:02
Ending Credits
Duración:00:00:17