Machine Learning and Predictive Modeling
Chuck Sherman
Uncover the latest trends and technologies shaping the future of machine learning, including explainable AI, quantum machine learning, and federated learning. The book also delves into the ethical considerations surrounding AI, making it an essential resource for professionals navigating the ever-evolving landscape of data and technology.
"Machine Learning and Predictive Modeling: Turning Data into Action" equips you with the knowledge, tools, and ethical insights necessary to harness the power of data, make informed decisions, and create positive change in your organization or community. Whether you're a data enthusiast, a curious mind, or a data-driven decision-maker, this book is your key to transforming data into action and unleashing the potential of machine learning in your world. Get ready to embark on a journey into the data-driven future, where knowledge is power, and insights drive action.
Duration - 4h 27m.
Author - Chuck Sherman.
Narrator - Ray Collins.
Published Date - Friday, 19 January 2024.
Copyright - © 2024 Chuck Sherman ©.
Location:
United States
Description:
Uncover the latest trends and technologies shaping the future of machine learning, including explainable AI, quantum machine learning, and federated learning. The book also delves into the ethical considerations surrounding AI, making it an essential resource for professionals navigating the ever-evolving landscape of data and technology. "Machine Learning and Predictive Modeling: Turning Data into Action" equips you with the knowledge, tools, and ethical insights necessary to harness the power of data, make informed decisions, and create positive change in your organization or community. Whether you're a data enthusiast, a curious mind, or a data-driven decision-maker, this book is your key to transforming data into action and unleashing the potential of machine learning in your world. Get ready to embark on a journey into the data-driven future, where knowledge is power, and insights drive action. Duration - 4h 27m. Author - Chuck Sherman. Narrator - Ray Collins. Published Date - Friday, 19 January 2024. Copyright - © 2024 Chuck Sherman ©.
Language:
English
Opening Credits
Duración:00:00:10
Chapter 1 Introduction to machine
Duración:00:16:30
Chapter 2 Foundations of data science
Duración:00:12:25
Chapter 3 Types of machine learning
Duración:00:10:34
Chapter 4 Supervised learning
Duración:00:13:59
Chapter 5 Unsupervised learning
Duración:00:09:43
Chapter 6 Model evaluation and selection
Duración:00:16:06
Chapter 7 Feature selection and
Duración:00:45:01
Chapter 8 Advanced topics in machine
Duración:00:26:05
Chapter 9 The predictive modeling
Duración:00:13:17
Chapter 10 Deploying models into
Duración:00:13:43
Chapter 11 Case studies
Duración:00:18:21
Chapter 12 Future trends in machine
Duración:00:12:20
Chapter 13 Challenges and ethical
Duración:00:33:33
Chapter 14 Resources and tools
Duración:00:20:00
Chapter 15 Conclusion
Duración:00:05:20
Ending Credits
Duración:00:00:11