جمع جزء: 378,000 تومان
- × 1 عدد: آموزش معماری نرم افزار : معماری نرم افزار و هوش مصنوعی - 189,000 تومان
- × 1 عدد: OWASP Top 10: #9 Security Logging and Monitoring Failures and #10 Server-Side Request Forgery - 189,000 تومان
The healthcare industry is one of the fastest growing sectors using AI applications and techniques. When working with clinical data, written text forms a major part of how scenarios and treatment progression are documented. With the advent and availability of more and more digital health data, this course provides hands-on lessons at making sense of clinical text data using natural language processing (NLP) techniques. Join instructor Wuraola Oyewusi as she explores how to apply natural language processing to clinical and biomedical data. Topics covered include clinical named entity recognition, clinical entity resolution, word and sentence level text representation, and transformers for clinical text.
در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

Excel for Healthcare: Practical Applications and Skills

Hands-on Data Science and AI for Healthcare

Hands-On Data Annotation: Applied Machine Learning

Natural Language Processing for Speech and Text: From Beginner to Advanced

Generative AI Tools for Productivity and Research

Python for Health Sciences and Healthcare

پردازش زبان طبیعی : یادگیری عملی
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