Courses tagged with "Nutrition" (6413)
The knowledge base of the world is rapidly expanding, and much of this information is being put online as textual data. Understanding how to parse and analyze this growing amount of data is essential for any organization that would like to extract valuable insights and gain competitive advantage. This course will demonstrate how text mining can answer business related questions, with a focus on technological innovation.
This is a highly modular course, based on data science principles and methodologies. We will look into technological innovation through mining articles and patents and implement natural language processing. We will also utilize other available sources of competitive intelligence, such as the gray literature and knowledge bases of companies, news databases, social media feeds and search engine outputs. Text mining will be carried out using Python, and could be easily followed by running the provided iPython notebooks that execute the code.
FAQ
Who is this course for?
The course is intended for data scientists of all levels as well as domain experts on a managerial level. Data scientists will receive a variety of different toolsets, expanding knowledge and capability in the area of qualitative and semantic data analyses. Managers will receive hands-on oversight to a high-growth field filled with business promise, and will be able to spot opportunities for their own organization. You are encouraged to bring your data sources and business questions, and develop a professional portfolio of your work to share with others. The discussion forums of the course will be the place where professionals from around the world share insights and discuss data challenges.
How will the course be taught?
The first week of the course describes a range of business opportunities and solutions centered around the use of text. Subsequent weeks identify sources of competitive intelligence, in text, and provide solutions for parsing and storing incoming knowledge. Using real-world case studies, the course provides examples of the most useful statistical and machine learning techniques for handling text, semantic, and social data. We then describe how and what you can infer from the data, and discuss useful techniques for visualizing and communicating the results to decision-makers.
What types of certificates does DelftX offer?
Upon successful completion of this course, learners will be awarded a DelftX Professional Education Certificate.
Can I receive Continuing Education Units?
The TU Delft Extension School offers Continuing Education Units for this course. Participants of TXT1x who successfully complete the course requirements will earn a Certificate of Completion and are eligible to receive 2.0 Continuing Education Units (2.0 CEUs)
How do I receive my certificate and CEUs?
Upon successful completion of the course, your certificate can be printed from your dashboard. The CEUs are awarded separately by the TU Delft Extension School.
LICENSE
The course materials of this course are Copyright Delft University of Technology and are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) 4.0 International License.
Search engines are essential tools for managing and mining big text data. Learn how search engines work, the major search algorithms, and how to optimize search accuracy.
In diesem Kurs erhalten Sie einen Überblick über einige wichtige literarische Texte, Tendenzen und Themen aus der deutschsprachigen Literatur- und Kulturszene. Wir werden literarische Texte, Gedichte, Theaterstücke und Essays untersuchen, sowie andere ästhetische Formen besprechen, wie Film und Architektur. Da alle Texte gleichzeitig in ihrem spezifischen kulturellen Kontext gelesen werden, tragen sie zu einem Verständnis von verschiedenen historischen Aspekten bei. Unter anderen werden folgende Themen und Fragestellungen besprochen: Technologie und deren Einfluss auf die Gesellschaft, Fragen der Ethik bei wissenschaftlicher Arbeit, Konstruktion von nationaler Geschichte und kollektivem Gedächtnis.
Learn how the AACN Synergy Model for Patient Care improves patient outcomes through a synergy of nurse and patient characteristics.
This is a course about addiction to drugs and other behaviors. It will describe what happens in the brain and how this information helps us deal with and overcome addiction. It will also discuss other topics such as government policy and our vulnerability to take drugs.
This course meets weekly to discuss recent aerospace history and current events, in order to understand how they are responsible for the state of the aerospace industry. With invited subject matter experts participating in nearly every session, students have an opportunity to hone their insight through truly informed discussion. The aim of the course is to prepare junior and senior level students for their first industry experiences.
This course asks students to consider the ways in which social theorists, institutional reformers, and political revolutionaries in the 17th through 19th centuries seized upon insights developed in the natural sciences and mathematics to change themselves and the society in which they lived. Students study trials, art, literature and music to understand developments in Europe and its colonies in these two centuries. Covers works by Newton, Locke, Voltaire, Rousseau, Marx, and Darwin.