Machine Learning
Chuck Sherman
"Machine Learning: Unraveling the Algorithms of Intelligence” In this captivating exploration, you'll traverse the ever-expanding realm of artificial intelligence and machine learning, guided by a comprehensive and insightful narrative.
From its origins in the visionary minds of early computer scientists to its current status as a driving force behind technological innovation, machine learning's evolution is vividly brought to life. Delve into the heart of supervised learning algorithms, where linear regression, logistic regression, decision trees, support vector machines, and neural networks form the bedrock of predictive analytics.
Venturing deeper, the book unravels the mysteries of unsupervised learning, illuminating clustering techniques, dimensionality reduction, and the crucial task of anomaly detection. With clarity and precision, it demystifies the captivating world of reinforcement learning, painting a vivid picture of agents learning to navigate and excel within complex environments.
The journey wouldn't be complete without the profound influence of deep learning and neural networks. Traverse the landscapes of multilayer perceptrons, convolutional neural networks, recurrent neural networks, and generative adversarial networks, witnessing the power of AI to understand and create.
Whether you're an AI enthusiast, a student diving into the world of data science, or a professional seeking to stay ahead in the AI race, this book promises to be your guiding light. With a balanced blend of theory, practical insights, and ethical considerations, it equips you to navigate the complexities of machine learning while fostering a deep appreciation for the intertwined destiny of humanity and technology."
Duration - 3h 26m.
Author - Chuck Sherman.
Narrator - Ray Collins.
Published Date - Saturday, 06 January 2024.
Copyright - © 2024 Chuck Sherman ©.
Location:
United States
Description:
"Machine Learning: Unraveling the Algorithms of Intelligence” In this captivating exploration, you'll traverse the ever-expanding realm of artificial intelligence and machine learning, guided by a comprehensive and insightful narrative. From its origins in the visionary minds of early computer scientists to its current status as a driving force behind technological innovation, machine learning's evolution is vividly brought to life. Delve into the heart of supervised learning algorithms, where linear regression, logistic regression, decision trees, support vector machines, and neural networks form the bedrock of predictive analytics. Venturing deeper, the book unravels the mysteries of unsupervised learning, illuminating clustering techniques, dimensionality reduction, and the crucial task of anomaly detection. With clarity and precision, it demystifies the captivating world of reinforcement learning, painting a vivid picture of agents learning to navigate and excel within complex environments. The journey wouldn't be complete without the profound influence of deep learning and neural networks. Traverse the landscapes of multilayer perceptrons, convolutional neural networks, recurrent neural networks, and generative adversarial networks, witnessing the power of AI to understand and create. Whether you're an AI enthusiast, a student diving into the world of data science, or a professional seeking to stay ahead in the AI race, this book promises to be your guiding light. With a balanced blend of theory, practical insights, and ethical considerations, it equips you to navigate the complexities of machine learning while fostering a deep appreciation for the intertwined destiny of humanity and technology." Duration - 3h 26m. Author - Chuck Sherman. Narrator - Ray Collins. Published Date - Saturday, 06 January 2024. Copyright - © 2024 Chuck Sherman ©.
Language:
English
Opening Credits
Duration:00:00:11
Chapter 1 Introduction to machine learning
Duration:00:13:14
Chapter 2 Foundations of machine learning
Duration:00:28:31
Chapter 3 Supervised learning algorithms
Duration:00:21:01
Chapter 4 Unsupervised learning algorithms
Duration:00:13:17
Chapter 5 Semi supervised learning and transfer learning
Duration:00:07:54
Chapter 6 Reinforcement learning
Duration:00:13:33
Chapter 7 Deep learning and neural
Duration:00:16:23
Chapter 8 Ethical and responsible ai
Duration:00:37:40
Chapter 9 Practical machine learning
Duration:00:10:48
Chapter 10 future frontiers of machine
Duration:00:36:27
Epilogue The continual evolution of ai
Duration:00:07:30
Ending Credits
Duration:00:00:12