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The Virtual Learning Renaissance in Healthcare

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The pandemic changed the way health systems think about learning. Before, virtual learning models -- either e-learning modules or instructor-led online training -- were met with some indifference. But as the number of COVID-19 patients surged, hospitals had no choice but to use online resources for employees from onboarding and PPE instruction to dealing with burnout and working remotely. In many health systems, the experience created more questions than answers. Recently, Gallup convened a series of Chief Learning Officer roundtables limited to major U.S. healthcare systems. Some Chief Learning Officers (CLOs) said their organizations used virtual instructor-led training (VILT) to provide whole care support programs with on-demand, virtual face-to-face, personal, and professional coaching.


Data scientists: Data Science is next big thing in decision-making - The Economic Times

@machinelearnbot

By Anish Srikrishna When you buy a product from an online marketplace, have you ever wondered how your order gets processed among millions of others? Does it baffle you how some banks use chatbots to solve customer queries based on transaction history, or that financial and portfolio management institutions deploy sentiment analysis and algorithms to consistently generate handsome returns for customers. In the age of decision sciences, all this and more can be effortlessly achieved. Thanks to the quantum advances in technology, today decision sciences is the cornerstone of success in the data-driven world. Decision sciences is helping corporations in BFSI (banking, financial services and insurance), ecommerce, telecom, transportation and many such industries process massive amount of data to leverage their true business potential.


9 Best Machine Learning Coursera Courses • Benzinga

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Machine Learning, often called Artificial Intelligence or AI, is one of the most exciting areas of technology at the moment. New to machine learning and seeking ways to enhance your knowledge? Or maybe you work in an industry with artificial intelligence and need a machine learning course to position yourself for advancement? Either way, a machine learning Coursera course is worth considering. There are introductory courses to choose from if you're just getting started, or you can begin with intermediate or advanced options to level up your knowledge. Benzinga is here to help you find a course that fits your needs and busy lifestyle.


Udacity Machine Learning vs. Simplilearn Machine Learning - for your ML Career

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You will receive 58 hours of applied instructor-led training. To earn the certification, you should attend a full batch of online training and submit a completed project for the flexi-pass learners or complete at least 85% of the course and submit one completed project for the self-paced learners. The machine learning certification course by Simplilearn is designed for learners with intermediate-level machine learning knowledge and skills in various roles, including business analysis, data analysis, information architecture, data science, machine learning, and others. To take this course, you need a college-level understanding of statistics and mathematics as well as Python programming knowledge. Simplilearn offers a blended learning approach that gives learners access to both live instructor-led training and recorded-videos.


IIT-Ropar and TSW Launch a PG Programme in Artificial Intelligence

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IIT-Ropar, one of the eight new IITs established by the Ministry of Human Resource Development (MHRD), Government of India, and TSW, the executive education division of Times Professional Learning (a part of The Times of India Group), have launched a Post Graduate Certificate Programme in Artificial Intelligence & Deep Learning. The programme will be coordinated by The Indo-Taiwan Joint Research Centre (ITJRC) on Artificial Intelligence (AI) and Machine Learning (ML), at IIT-Ropar. Supported by the Ministry of Science and Technology, Taiwan, ITJRC is a bilateral centre for collaborative research in disruptive technologies like AI and ML. The programme, with its focus on Artificial Intelligence and Deep Learning, has an eligibility criterion of a minimum of 2 years of work experience in the IT industry. Though an engineering degree is a desirable prerequisite for this programme, one does not need a coding or mathematics background to be eligible.