Design, Develop, and Deploy Machine Learning Models Using Healthcare Data
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Köp båda 2 för 863 krAnshik has a deep passion for building and shipping data science solutions that create great business value. He is currently working as a senior data scientist at ZS Associates and is a key member on the team developing core unstructured data science capabilities and products. He has worked across industries such as pharma, finance, and retail, with a focus on advanced analytics. Besides his day-to-day activities, which involve researching and developing AI solutions for client impact, he works with startups as a data science strategy consultant. Anshik holds a bachelors degree from Birla Institute of Technology & Science, Pilani. He is a regular speaker at AI and machine learning conferences. He enjoys trekking and cycling.
Chapter 1: Healthcare Market: A Primer.- Chapter 2: Introduction and Setup.- Chapter 3: Predicting Hospital Readmission by Analyzing Patient EHR Records.- Chapter 4: Predicting Medical Billing Codes from Clinical Notes.- Chapter 5: Extracting Structured Data from Receipt Images Using a Graph Convolutional Network.- Chapter 6: Handling Availability of Low-Training Data in Healthcare.- Chapter 7: Federated Learning and Healthcare..- Chapter 8: Medical Imaging.- Chapter 9: Machines Have All the Answers, Except Whats the Purpose of Life?.- Chapter 10: You Need an Audience Now.