'ATELIER'
W1: Transitioning to Machine Learning
Date and Time: 20th March 2020, 09:00 AM
Machine learning, often seen as a branch of Artificial Intelligence, is the science of getting computers to automatically learn, improve from experience and act without being explicitly programmed. This supervised/unsupervised learning has given us effective web search, practical speech recognition, self-driving cars, etc. Day-to-day applications involve video surveillance, social media services, email spam and malware filtering, online customer support, transportation and commuting, dynamic pricing, etc, which has made it one of the most sought after resource providing a strong-hold for better profession opportunities in a wide range of industries.
W2: Shaping a Research Article
Date and Time: 20th March 2020, 02:00 PM
Structuring the data and results of an original research in a reader-friendly manner is the foremost important aspect of writing a research article. In the saturating pipeline of extensive research work, providing a specific, concrete, technical and fairly detailed methodology along with describing data collection method and analysing strategies ensures an article’s acceptance in a peer reviewed journal
W3: Dive into Data Science
Date and Time: 21st March 2020, 02:00 PM
Data Science continues to evolve as one of the most promising and in-demand career paths. Advancing a step ahead of data mining and programming skills, this course improves the business acumen and analytical skills to analyse large amounts of raw and unstructured data. This blend of various tools, algorithms and machine learning principles can be applied in marketing, healthcare travel, sales, credit and insurance, social media, automations, etc.
W4:Intellectual Property Rights
Date and Time: 22nd March 2020, 09:00 AM
Patent confers a right/privilege to an inventor for a term of years which provides exclusive rights to make, use, or sell the invention. Be it a standard patent, patent of addition, utility model patent or a new use patent, the basic element of patent ability depends on the characteristics of the invention and the way in which it is presented so as to meet a substantive criteria for patentability as well as practical application.