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81% of individuals went to a healthcare provider at least once in the last year. While that is not surprising, pairing it with another stat tells a very different story. If you are looking for Healthcare Data. Visit Us:- https://www.ezdi.com/
Harnessing the potential of unstructured healthcare data
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=> Scraping Physicians/Doctors Email Database - Scrape USA Physicians and Clinics Database - USA, UK Doctors Reviews Data Scraping, Clinics Database - Scraping USA Doctors Reviews from Review Sites List - Scraping Physicians Database List from Doctors Directory - Scrape Reviews of Physicians Database Lists - Health Database List - Doctors Marketing Database | US Doctors Database Lists - Hospitals Reviews data Scraping | Healthcare Database List - Psychologists Mailing List | Database List of Clinics - Scrape Doctors, Physicians and Chiropractor Database Listing - Dentist Email list - Dentists Database | USA Doctors Database - Physicians Database Lists – Health Database List http://www.webscrapingexpert.com/scraping-physiciansdoctors-email-database/
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=> Data Extraction of Physician Email Lists - Scrape USA Physicians and Clinics Database - Doctors Reviews Data Scraping, Clinics Database - Scrape Doctors Reviews from Review Sites - Scrape Reviews of Physicians Database Lists – Health Database List - Doctors Marketing Database | US Doctors Database Lists - Hospitals Reviews data Scraping | Healthcare Database List - Psychologists Mailing List | Database List of Clinics - Scrape Doctors, Physicians and Chiropractor Database Listing - Dentist Email list - Dentists Database | USA Doctors Database - Physicians Database Lists – Health Database List http://www.webscrapingexpert.com/data-extraction-of-physician-email-lists/
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深度學習 ( Deep Learning ) 是機器學習 ( Machine Learning ) 中近年來備受重視的一支,深度學習根源於類神經網路 ( Artificial Neural Network ) 模型,但今日深度學習的技術和它的前身已截然不同,目前最好的語音辨識和影像辨識系統都是以深度學習技術來完成,你可能在很多不同的場合聽過各種用深度學習做出的驚人應用 ( 例如:最近紅遍大街小巷的 AlphaGo ),聽完以後覺得心癢癢的,想要趕快使用這項強大的技術,卻不知要從何下手學習,那這門課就是你所需要的。 這門課程將由台大電機系李宏毅教授利用短短的一天議程簡介深度學習。以下是課程大綱: 什麼是深度學習 深度學習的技術表面上看起來五花八門,但其實就是三個步驟:設定好類神經網路架構、訂出學習目標、開始學習,這堂課會簡介如何使用深度學習的工具 Keras,它可以幫助你在十分鐘內完成深度學習的程式。另外,有人說深度學習很厲害、有各種吹捧,也有人說深度學習只是個噱頭,到底深度學習和其他的機器學習方法有什麼不同呢?這堂課要剖析深度學習和其它機器學習方法相比潛在的優勢。 深度學習的各種小技巧 雖然現在深度學習的工具滿街都是,想要寫一個深度學習的程式只是舉手之勞,但要得到好的成果可不簡單,訓練過程中各種枝枝節節的小技巧才是成功的關鍵。本課程中將分享深度學習的實作技巧及實戰經驗。 有記憶力的深度學習模型 機器需要記憶力才能做更多事情,這段課程要講解遞迴式類神經網路 ( Recurrent Neural Network ),告訴大家深度學習模型如何可以有記憶力。 深度學習應用與展望 深度學習可以拿來做甚麼?怎麼用深度學習做語音辨識?怎麼用深度學習做問答系統?接下來深度學習的研究者們在意的是什麼樣的問題呢? 本課程希望幫助大家不只能了解深度學習,也可以有效率地上手深度學習,用在手邊的問題上。無論是從未嘗試過深度學習的新手,還是已經有一點經驗想更深入學習,都可以在這門課中有所收穫。
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81% of individuals went to a healthcare provider at least once in the last year. While that is not surprising, pairing it with another stat tells a very different story. If you are looking for Healthcare Data. Visit Us:- https://www.ezdi.com/
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=> Scraping Physicians/Doctors Email Database - Scrape USA Physicians and Clinics Database - USA, UK Doctors Reviews Data Scraping, Clinics Database - Scraping USA Doctors Reviews from Review Sites List - Scraping Physicians Database List from Doctors Directory - Scrape Reviews of Physicians Database Lists - Health Database List - Doctors Marketing Database | US Doctors Database Lists - Hospitals Reviews data Scraping | Healthcare Database List - Psychologists Mailing List | Database List of Clinics - Scrape Doctors, Physicians and Chiropractor Database Listing - Dentist Email list - Dentists Database | USA Doctors Database - Physicians Database Lists – Health Database List http://www.webscrapingexpert.com/scraping-physiciansdoctors-email-database/
Scraping Physicians/ Doctors Email Database
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krishnavyas12345
=> Data Extraction of Physician Email Lists - Scrape USA Physicians and Clinics Database - Doctors Reviews Data Scraping, Clinics Database - Scrape Doctors Reviews from Review Sites - Scrape Reviews of Physicians Database Lists – Health Database List - Doctors Marketing Database | US Doctors Database Lists - Hospitals Reviews data Scraping | Healthcare Database List - Psychologists Mailing List | Database List of Clinics - Scrape Doctors, Physicians and Chiropractor Database Listing - Dentist Email list - Dentists Database | USA Doctors Database - Physicians Database Lists – Health Database List http://www.webscrapingexpert.com/data-extraction-of-physician-email-lists/
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深度學習 ( Deep Learning ) 是機器學習 ( Machine Learning ) 中近年來備受重視的一支,深度學習根源於類神經網路 ( Artificial Neural Network ) 模型,但今日深度學習的技術和它的前身已截然不同,目前最好的語音辨識和影像辨識系統都是以深度學習技術來完成,你可能在很多不同的場合聽過各種用深度學習做出的驚人應用 ( 例如:最近紅遍大街小巷的 AlphaGo ),聽完以後覺得心癢癢的,想要趕快使用這項強大的技術,卻不知要從何下手學習,那這門課就是你所需要的。 這門課程將由台大電機系李宏毅教授利用短短的一天議程簡介深度學習。以下是課程大綱: 什麼是深度學習 深度學習的技術表面上看起來五花八門,但其實就是三個步驟:設定好類神經網路架構、訂出學習目標、開始學習,這堂課會簡介如何使用深度學習的工具 Keras,它可以幫助你在十分鐘內完成深度學習的程式。另外,有人說深度學習很厲害、有各種吹捧,也有人說深度學習只是個噱頭,到底深度學習和其他的機器學習方法有什麼不同呢?這堂課要剖析深度學習和其它機器學習方法相比潛在的優勢。 深度學習的各種小技巧 雖然現在深度學習的工具滿街都是,想要寫一個深度學習的程式只是舉手之勞,但要得到好的成果可不簡單,訓練過程中各種枝枝節節的小技巧才是成功的關鍵。本課程中將分享深度學習的實作技巧及實戰經驗。 有記憶力的深度學習模型 機器需要記憶力才能做更多事情,這段課程要講解遞迴式類神經網路 ( Recurrent Neural Network ),告訴大家深度學習模型如何可以有記憶力。 深度學習應用與展望 深度學習可以拿來做甚麼?怎麼用深度學習做語音辨識?怎麼用深度學習做問答系統?接下來深度學習的研究者們在意的是什麼樣的問題呢? 本課程希望幫助大家不只能了解深度學習,也可以有效率地上手深度學習,用在手邊的問題上。無論是從未嘗試過深度學習的新手,還是已經有一點經驗想更深入學習,都可以在這門課中有所收穫。
[DSC 2016] 系列活動:李宏毅 / 一天搞懂深度學習
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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies
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In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
How to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
naman860154
Presented by Sergio Licea and John Hendershot
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
45-60 minute session deck from introducing Google Apps Script to developers, IT leadership, and other technical professionals.
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
wesley chun
Stay safe, grab a drink and join us virtually for our upcoming "GenAI Risks & Security" Meetup to hear about how to uncover critical GenAI risks and vulnerabilities, AI security considerations in every company, and how a CISO should navigate through GenAI Risks.
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
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Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
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Finology Group – Insurtech Innovation Award 2024
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Handwritten Text Recognition for manuscripts and early printed texts
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Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
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Axa Assurance Maroc - Insurer Innovation Award 2024
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Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
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The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
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08448380779 Call Girls In Friends Colony Women Seeking Men
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
How to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
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Automating Google Workspace (GWS) & more with Apps Script
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
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