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
Duration:00:00:10
Chapter 1 Introduction to machine
Duration:00:16:30
Chapter 2 Foundations of data science
Duration:00:12:25
Chapter 3 Types of machine learning
Duration:00:10:34
Chapter 4 Supervised learning
Duration:00:13:59
Chapter 5 Unsupervised learning
Duration:00:09:43
Chapter 6 Model evaluation and selection
Duration:00:16:06
Chapter 7 Feature selection and
Duration:00:45:01
Chapter 8 Advanced topics in machine
Duration:00:26:05
Chapter 9 The predictive modeling
Duration:00:13:17
Chapter 10 Deploying models into
Duration:00:13:43
Chapter 11 Case studies
Duration:00:18:21
Chapter 12 Future trends in machine
Duration:00:12:20
Chapter 13 Challenges and ethical
Duration:00:33:33
Chapter 14 Resources and tools
Duration:00:20:00
Chapter 15 Conclusion
Duration:00:05:20
Ending Credits
Duration:00:00:11