Torrent details for "Van Der Post H. Health Analytics with Python. A Comprehensive Guide for 2024 [andryold1]"    Log in to bookmark

wide
Torrent details
Cover
Download
Torrent rating (0 rated)
Controls:
Category:
Language:
English English
Total Size:
1.49 MB
Info Hash:
4a8c7823988f68ad02fef4c82a2c15dee9105560
Added By:
Added:  
15-07-2024 15:05
Views:
83
Health:
Seeds:
46
Leechers:
3
Completed:
383
wide




Description
wide
Externally indexed torrent
If you are the original uploader, contact staff to have it moved to your account
Textbook in PDF format

Are you poised to elevate your Python expertise and revolutionize the realm of healthcare analytics? Introducing "Advanced Python for Healthcare and Health Data Science" – the definitive guide crafted for professionals who aspire to harness Python's full capabilities in the dynamic and complex landscape of health data science.
Building on the success of our highly acclaimed introductory volume, this comprehensive guide ventures further, revealing sophisticated methodologies that will redefine your approach to medical data analysis. Whether you are a seasoned data scientist, a healthcare analytics expert, or a machine learning aficionado, this book is meticulously tailored to push your boundaries from foundational knowledge to advanced data science techniques.
Inside this guide, you will
A thorough exploration of real-world challenges in health data and Python's solutions.Sophisticated machine learning models specifically developed for predicting, classifying, and decoding health-related phenomena.Advanced strategies for effective management and analysis of extensive datasets using Python's robust libraries, such as pandas, NumPy, and scikit-learn.Comprehensive case studies demonstrating Python's successful application in fields like epidemiology, genomics, and precision medicine.State-of-the-art methods for medical image recognition and processing utilizing Python libraries like OpenCV and TensorFlow.Essential insights on maintaining confidentiality and security in sensitive health data analytics.Scalable solutions leveraging Python's integration with big data frameworks, including Hadoop and Spark.Each chapter is brimming with practical tutorials, insights from experts, and industry best practices, ensuring not only a deep understanding of theoretical concepts but also their effective application in real-world scenarios. Whether your goal is to forecast disease spread, tailor patient treatment, or enhance healthcare operations, this book will serve as your indispensable resource.
Title Page
Introduction to Python in Healthcare
Intermediate Data Manipulation and Analysis
Machine Learning in Healthcare
Genomics and Bioinformatics with Python
Interoperability and Health Information Exchange
Data Privacy &amp Security in Healthcare
Population Health and Epidemiology
Clinical Trials and Research
Epilogue

  User comments    Sort newest first

No comments have been posted yet.



Post anonymous comment
  • Comments need intelligible text (not only emojis or meaningless drivel).
  • No upload requests, visit the forum or message the uploader for this.
  • Use common sense and try to stay on topic.

  • :) :( :D :P :-) B) 8o :? 8) ;) :-* :-( :| O:-D Party Pirates Yuk Facepalm :-@ :o) Pacman Shit Alien eyes Ass Warn Help Bad Love Joystick Boom Eggplant Floppy TV Ghost Note Msg


    CAPTCHA Image 

    Anonymous comments have a moderation delay and show up after 15 minutes