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Coursera's Most Popular Online Courses


MOOCs have been around since 2008, when 25 students attended a course on connectivism at the University of Manitoba - with 2,300 joining online worldwide. They really hit the public consciousness around 2012, when Coursera was created. It partnered with universities to offer courses online, typically with a mix of active participation and self-paced study using filmed lectures and reading lists. Its closest competitor, edX, is a joint venture of Harvard and MIT. As the name suggests, MOOCs are designed for unlimited participation and are free, subsidized, or much cheaper than traditional higher education courses. Although they have been criticized for their low completion rate - an MIT study found an average quit rate of 96% over five years - that has done nothing to stop the demand. In 2019, MOOCs had attracted 110 million students and more than 900 universities around the world had submitted 13,500 courses.

Complete Python Developer in 2019: Zero to Mastery


Udemy - Complete Python Developer in 2019: Zero to Mastery, How to become a Python 3 Developer and get hired! HOT & NEW, 4.8 (720 ratings), Created by Andrei Neagoie, English [Auto-generated] Join a live online community of over 100,000 developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto. This is a brand new Python course just launched September 2019! Graduates of Andrei's courses are now working at Google, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. Learn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy.

Educational Advances in Artificial Intelligence

AI Magazine

The emergence of massive open online courses has initiated a broad national-wide discussion on higher education practices, models, and pedagogy. Artificial intelligence and machine learning courses were at the forefront of this trend and are also being used to serve personalized, managed content in the back-end systems. Massive open online courses are just one example of the sorts of pedagogical innovations being developed to better teach AI. This column will discuss and share innovative educational approaches that teach or leverage AI and its many subfields, including robotics, machine learning, natural language processing, computer vision, and others at all levels of education (K-12, undergraduate, and graduate levels).



Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics.

RKT : Relation-Aware Self-Attention for Knowledge Tracing Artificial Intelligence

The world has transitioned into a new phase of online learning in response to the recent Covid19 pandemic. Now more than ever, it has become paramount to push the limits of online learning in every manner to keep flourishing the education system. One crucial component of online learning is Knowledge Tracing (KT). The aim of KT is to model student's knowledge level based on their answers to a sequence of exercises referred as interactions. Students acquire their skills while solving exercises and each such interaction has a distinct impact on student ability to solve a future exercise. This \textit{impact} is characterized by 1) the relation between exercises involved in the interactions and 2) student forget behavior. Traditional studies on knowledge tracing do not explicitly model both the components jointly to estimate the impact of these interactions. In this paper, we propose a novel Relation-aware self-attention model for Knowledge Tracing (RKT). We introduce a relation-aware self-attention layer that incorporates the contextual information. This contextual information integrates both the exercise relation information through their textual content as well as student performance data and the forget behavior information through modeling an exponentially decaying kernel function. Extensive experiments on three real-world datasets, among which two new collections are released to the public, show that our model outperforms state-of-the-art knowledge tracing methods. Furthermore, the interpretable attention weights help visualize the relation between interactions and temporal patterns in the human learning process.

Python for Data Science and Machine Learning Bootcamp


Online Courses Udemy - Python for Data Science and Machine Learning Bootcamp, Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more! Are you ready to start your path to becoming a Data Scientist! This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

The State of AI - MIT Technology Review


Dr. Andrew Ng is a globally recognized leader in artificial intelligence. He was until recently chief scientist at Baidu, where he led the company's approximately 1,300-person AI group and was responsible for driving its global AI strategy and infrastructure. He was also the founding lead of the Google Brain team. In addition, Dr. Ng is co-chairman and cofounder of Coursera, the world's leading MOOC (massive open online course) platform, and an adjunct professor of computer science at Stanford University. He has authored or coauthored over 100 research papers in machine learning, robotics, and related fields.

"Transparent AI Will Revolutionize Online Learning"


Walter Bender, the Chief Learning Architect at Sorcero and the founder of Sugar Labs and One Laptop One Child, shared with IBL News how transparent AI will revolutionize online learning following his talk at the Open edX conference last month in San Diego. The main goal, he posits, is "to leverage what makes us human to become part of the learning process." His talk, "Beyond the Black Box: How Transparent AI can Transform Learning," focused on the strides that Sorcero is making with AI and online learning. With his extensive experience in academia and accessible and open online education, he says his experiences were "a case study for transparency, for providing tools and a framework." The natural extension from this was to switch gears and talk about AI, the "tool du jour in machine learning these days."

Eight in 10 respondents find online learning programmes more effective than physical classroom sessions: Survey


BENGALURU: Eight in 10 survey respondents say that live online learning programmes have been equally or more effective than physical classroom sessions, with artificial intelligence and machine learning skilling programmes seeing the highest demand, according to a survey by digital skills training provider Simplilearn . The survey was conducted to understand the effects of the Covid-19 pandemic on employee training programmes and productivity post the implementation of work-from-home. The company surveyed executives and managers in the learning and development and HR functions of companies around the globe on issues related to current and future employee training plans. While responses were gathered from various global regions, the majority were gathered from representatives of companies located in India (39%) and the United States (41%). The global health crisis has disrupted work patterns worldwide, and one of the work areas most affected has been employee learning and development.