Healthcare NLP for Data Scientists

dkmdkm

U P L O A D E R
70a75ff6a43f43412d30da2b44d08a07.jpg

Free Download Healthcare NLP for Data Scientists
Published 4/2024
Created by Ace Vo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 82 Lectures ( 13h 40m ) | Size: 6.8 GB

Unlock your NLP power with Healthcare NLP, the most popular NLP library in the healthcare industry
What you'll learn:
Utilize 20,000+ State-of-the-Art NLP models that specalizes in solving healthcare problems in 200+ languages
Train & tune your own NLP models by leveraging the Spark NLP's pre-defined classifier architecture on your own datasets
Perform popular NLP tasks like clinical entity recognition, entity resolution (mapping entities to medical codes), assertion status detection
Deploy models as API's with NLP Server, a Docker container that contains all Spark NLPs capabilities
Requirements:
Hands-on understanding of Python is needed
Recommended: basic understanding of machine learning and natural language processing
Recommended: take the Spark NLP for Data Scientists course
Nice to have: basic understanding of Apache Spark
Description:
Hello everyone, welcome to the Healthcare NLP for Data Scientists course, offered by John Snow Labs, the creator of Healthcare NLP library! In this course, you will explore the extensive functionalities of John Snow Labs' Healthcare NLP & LLM library, designed to provide practical skills and industry insights for data scientists professionals in healthcare.The course covers foundational NLP techniques, including clinical entity recognition, entity resolution, assertion status detection (negation detection), relation extraction, de-identification, text summarization, keyword extraction, and text classification. There are over 13 hours of lectures with 70+ Python notebooks for you to review and use. You'll learn to leverage pre-trained models and train new models for your specific healthcare challenges.We offer both hands-on coding notebooks with lectures and accompanying blog posts for you to review and apply. By the end of the program, you'll emerge equipped with the skills and insights needed to excel in the dynamic landscape of healthcare NLP and LLM.We recommend that you take the Spark NLP for Data Scientist first to have an understading of our library and platform, that you have working experience using Python, some knowledge on Spark dataframe structure, and knowledge on NLP to make the most out of the course. Of course having some healthcare experience is always a plus.You will need a Healthcare NLP trial license for the course, so please reach out and get one to get started with learning. Looking forward to seeing you in the course.
Who this course is for:
Data scientists who are looking to use Natural Language Processing at scale
Data scientists looking to build custom natural language understanding applications
Data Analysts who want to apply Natural Language Processing
Data scientists who are looking to leverage vast and deep healthcare knowledge in NLP to help achieve business objectives
Homepage
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!






Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
No Password - Links are Interchangeable
 
Kommentar

In der Börse ist nur das Erstellen von Download-Angeboten erlaubt! Ignorierst du das, wird dein Beitrag ohne Vorwarnung gelöscht. Ein Eintrag ist offline? Dann nutze bitte den Link  Offline melden . Möchtest du stattdessen etwas zu einem Download schreiben, dann nutze den Link  Kommentieren . Beide Links findest du immer unter jedem Eintrag/Download.

Data-Load.in | Dataload.in

Auf Data-Load.in findest du Links zu kostenlosen Downloads für Filme, Serien, Dokumentationen, Anime, Animation & Zeichentrick, Audio / Musik, Software und Dokumente / Ebooks / Zeitschriften. Wir sind deine Boerse für kostenlose Downloads!

Ist Data-Load.in / Dataload.in legal?

Data-Load.in ist nicht illegal. Es werden keine zum Download angebotene Inhalte auf den Servern von Data-Load.in gespeichert.
Oben Unten