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AI and Machine Learning for Healthcare

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AI and Machine Learning for Healthcare
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 2 Hours | 5.99 GB
Genre: eLearning | Language: English

Artificial intelligence (AI) and machine learning (ML) in healthcare comprise a rapidly expanding and very promising field. The marriage of technology and health has the potential to empower medical professionals and patients alike, while drastically cutting the cost of healthcare. Using a measured no-hype approach, this video will help technology entrepreneurs, product managers, and health care executives understand what can be done with AI and ML in healthcare today and what concepts are most crucial to producing valuable applications in the near future.
Understand the basics of putting together a health-tech data pipeline from raw datasets
Learn how pipelines turn unstructured data (e.g., medical records and open ended surveys) into inputs for modeling and metrics
Explore the unsupervised learning methodologies that search for novel insights in large health datasets
Understand the forecasting and classification methodologies for individual and population level health
Get up to date on Assist-AI in health-related user interactions and clinical decision making
Become aware of the data challenges inherent in many scenarios within healthcare applications

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http://i97.fastpic.ru/big/2017/1114/56/7387caf04e11f1256e559fee427f0556.jpg

AI and Machine Learning for Healthcare
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 2 Hours | 5.99 GB
Genre: eLearning | Language: English

Artificial intelligence (AI) and machine learning (ML) in healthcare comprise a rapidly expanding and very promising field. The marriage of technology and health has the potential to empower medical professionals and patients alike, while drastically cutting the cost of healthcare. Using a measured no-hype approach, this video will help technology entrepreneurs, product managers, and health care executives understand what can be done with AI and ML in healthcare today and what concepts are most crucial to producing valuable applications in the near future.
Understand the basics of putting together a health-tech data pipeline from raw datasets
Learn how pipelines turn unstructured data (e.g., medical records and open ended surveys) into inputs for modeling and metrics
Explore the unsupervised learning methodologies that search for novel insights in large health datasets
Understand the forecasting and classification methodologies for individual and population level health
Get up to date on Assist-AI in health-related user interactions and clinical decision making
Become aware of the data challenges inherent in many scenarios within healthcare applications

http://i98.fastpic.ru/big/2017/1114/c4/26aafa78572a0f53e04f42cd5f619bc4.jpg
Download link:

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