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
Duration:00:00:17
1 Introduction to machine learning
Duration:00:22:18
2 Fundamental concepts
Duration:00:23:46
3 Data preparation
Duration:00:22:31
4 Supervised learning techniques
Duration:00:35:33
5 Unsupervised learning techniques
Duration:00:22:41
6 Advanced topics in machine learning
Duration:00:21:37
7 Tools and frameworks
Duration:00:20:23
8 Model deployment and production
Duration:00:11:43
9 Case studies and real world examples
Duration:00:10:02
10 Future directions and emerging trends
Duration:00:23:02
Ending Credits
Duration:00:00:17