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Deep Learning Application for Healthcare
Colin Matthews
Colin Matthews
Deep learning is a powerful machine learning technique that has led to incredible innovations in artificial intelligence. This course will teach you the fundamentals of deep learning in healthcare through theory and applied case studies.
Read more
Deep learning is a powerful machine learning technique that has led to incredible innovations in artificial intelligence. This course will teach you the fundamentals of deep learning in healthcare through theory and applied case studies.
Read more
Deep learning is a powerful machine learning technique that has led to incredible innovations in artificial intelligence. This course will teach you the fundamentals of deep learning in healthcare through theory and applied case studies.
Deep learning is used daily to select the advertisements you see, drive product recommendations, and help you become more productive. In this course, Deep Learning Applications for Healthcare, you’ll understand how deep learning is changing healthcare through theory and applied case studies. First, you’ll explore the fundamentals of deep learning in healthcare. Next, you’ll discover how healthcare data is collected and structured. Finally, you’ll learn about common pitfalls when implementing machine learning in healthcare. When you’re finished with this course, you’ll have the skills and knowledge of Deep Learning Application for Healthcare needed to understand current and future applications of deep learning in this context.
Register for this course and see more details by visiting:
OpenCourser.com/course/yy9w6z/deep
What's inside
Syllabus
Course Overview
Fundamentals of Deep Learning
Healthcare Data
Ethics in Healthcare AI
Read more
Syllabus
Course Overview
Fundamentals of Deep Learning
Healthcare Data
Ethics in Healthcare AI
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches the fundamentals of deep learning and its applications in healthcare
Utilizes applied case studies to demonstrate real-world implementations of deep learning in healthcare
Covers the process of collecting and structuring healthcare data, essential for deep learning models
Provides insights into the ethical considerations of using AI in healthcare
Developed by industry experts, Colin Matthews, ensuring the course content is up-to-date and relevant
May require prior knowledge in deep learning or healthcare data analysis
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Activities
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Deep Learning Application for Healthcare.
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Career center
Learners who complete Deep Learning Application for Healthcare will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use deep learning to examine large datasets, using AI to uncover patterns and solve complex problems. This course will help you further hone your skills as a Data Scientist by providing you with the fundamentals of deep learning in healthcare. Additionally, you’ll further develop your knowledge of how healthcare data is collected and structured.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. They use deep learning to build AI systems that can learn from data and make predictions. This course will enhance your skills as a Machine Learning Engineer by providing you with the fundamentals of deep learning in healthcare. You'll learn how to collect and structure healthcare data, which will make you even more valuable to potential employers in this field.
Healthcare Data Analyst
Healthcare Data Analyst
Healthcare Data Analysts collect, analyze, and interpret data to improve the quality and efficiency of healthcare. They use deep learning to identify patterns and trends in healthcare data, which can help them make more informed decisions about patient care. This course will help you develop the skills you need to be a successful Healthcare Data Analyst. You'll learn how to collect and structure healthcare data, and you'll gain a foundation in deep learning.
Healthcare Consultant
Healthcare Consultant
Healthcare Consultants provide advice to healthcare organizations on how to improve their operations. They use deep learning to identify inefficiencies and develop solutions to improve patient care. This course will give you the skills you need to be a successful Healthcare Consultant. You'll learn how to collect and structure healthcare data, and you'll gain a foundation in deep learning.
Artificial Intelligence Architect
Artificial Intelligence Architect
Artificial Intelligence Architects design and develop AI systems that are used in a variety of applications, including healthcare. They use deep learning to develop AI systems that can learn from data and make predictions. This course will help you develop the skills you need to be a successful Artificial Intelligence Architect. You'll learn the fundamentals of deep learning, and you'll gain experience in applying deep learning to healthcare data.
Healthcare Software Engineer
Healthcare Software Engineer
Healthcare Software Engineers design, develop, and maintain software for the healthcare industry. They use deep learning to develop software that can help improve the quality and efficiency of healthcare. This course will help you develop the skills you need to be a successful Healthcare Software Engineer. You'll learn the fundamentals of deep learning, and you'll gain experience in applying deep learning to healthcare data.
Health Informatics Specialist
Health Informatics Specialist
Health Informatics Specialists use data and technology to improve the quality and efficiency of healthcare. They use deep learning to develop predictive models and decision-support tools that can help healthcare providers make better decisions about patient care. This course will help you develop the skills you need to be a successful Health Informatics Specialist. You'll learn the fundamentals of deep learning, and you'll gain experience in applying deep learning to healthcare data.
Clinical Research Associate
Clinical Research Associate
Clinical Research Associates conduct clinical trials for new drugs and medical devices. They use deep learning to develop predictive models that can help identify patients who are at risk of developing certain diseases. This course will help you develop the skills you need to be a successful Clinical Research Associate. You'll learn the fundamentals of deep learning, and you'll gain experience in applying deep learning to healthcare data.
Biomedical Engineer
Biomedical Engineer
Biomedical Engineers design and develop medical devices and systems. They use deep learning to develop AI systems that can be used to diagnose and treat diseases. This course will help you develop the skills you need to be a successful Biomedical Engineer. You'll learn the fundamentals of deep learning, and you'll gain experience in applying deep learning to healthcare data.
Data Architect
Data Architect
Data Architects design and manage data systems. They use deep learning to develop data-driven applications that can help businesses make better decisions. This course will help you develop the skills you need to be a successful Data Architect. You'll learn the fundamentals of deep learning, and you'll gain experience in applying deep learning to healthcare data.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make better decisions. They use deep learning to develop predictive models and decision-support tools that can help businesses identify new opportunities and avoid risks. This course will help you develop the skills you need to be a successful Data Analyst. You'll learn the fundamentals of deep learning, and you'll gain experience in applying deep learning to healthcare data.
Software Architect
Software Architect
Software Architects design and develop software systems. They use deep learning to develop software that can learn from data and make predictions. This course will help you develop the skills you need to be a successful Software Architect. You'll learn the fundamentals of deep learning, and you'll gain experience in applying deep learning to healthcare data.
Healthcare Administrator
Healthcare Administrator
Healthcare Administrators oversee the day-to-day operations of healthcare organizations. They use deep learning to develop data-driven solutions that can help improve the quality and efficiency of healthcare. This course will help you develop the skills you need to be a successful Healthcare Administrator. You'll learn the fundamentals of deep learning, and you'll gain experience in applying deep learning to healthcare data.
Medical Physicist
Medical Physicist
Medical Physicists use their knowledge of physics to develop and use medical devices and systems. They use deep learning to develop AI systems that can be used to diagnose and treat diseases. This course will help you develop the skills you need to be a successful Medical Physicist. You'll learn the fundamentals of deep learning, and you'll gain experience in applying deep learning to healthcare data.
Biostatistician
Biostatistician
Biostatisticians use statistics to design and analyze clinical trials. They use deep learning to develop predictive models that can help identify patients who are at risk of developing certain diseases. This course will help you develop the skills you need to be a successful Biostatistician. You'll learn the fundamentals of deep learning, and you'll gain experience in applying deep learning to healthcare data.
For more career information including salaries, visit:
OpenCourser.com/course/yy9w6z/deep
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Deep Learning Application for Healthcare.
Serves as a comprehensive textbook on machine learning fundamentals. Provides a solid theoretical foundation for understanding deep learning.
Provides an overview of machine learning methods and applications in healthcare, with a focus on challenges and opportunities.
Provides a hands-on introduction to machine learning using popular Python libraries. Serves as a good foundation for understanding the technical aspects of deep learning in healthcare.
Save
Provides a broad overview of deep learning methods and applications. Serves as a good reference for understanding the fundamentals of deep learning.
Provides a comprehensive overview of deep learning in healthcare, with a focus on cutting-edge research and applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/yy9w6z/deep
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Time
63 hours
Level
Introductory
Via
Pluralsight
Instructor
Colin Matthews
Language
English
Good to know
Teaches the fundamentals of deep learning and its applications in healthcare
Utilizes applied case studies to demonstrate real-world implementations of deep learning in healthcare
Covers the process of collecting and structuring healthcare data, essential for deep learning models
Provides insights into the ethical considerations of using AI in healthcare
Developed by industry experts, Colin Matthews, ensuring the course content is up-to-date and relevant
May require prior knowledge in deep learning or healthcare data analysis
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