Recently, I actively started looking for a job change to Data science, I don't have any formal education like Masters or Ph.D. background in AI/Machine Learning. I started learning it completely out of my own interest (not just because of hype). It was one of the challenging tracks to opt-in especially if you are working simultaneously on some other technology. I started my journey by enrolling myself in many MOOCs(Massive Open Online Courses) and started reading multiple blogs. It slowly started making sense.

Student performance prediction is critical to online education. It can benefit many downstream tasks on online learning platforms, such as estimating dropout rates, facilitating strategic intervention, and enabling adaptive online learning. Interactive online question pools provide students with interesting interactive questions to practice their knowledge in online education. However, little research has been done on student performance prediction in interactive online question pools. Existing work on student performance prediction targets at online learning platforms with predefined course curriculum and accurate knowledge labels like MOOC platforms, but they are not able to fully model knowledge evolution of students in interactive online question pools. In this paper, we propose a novel approach using Graph Neural Networks (GNNs) to achieve better student performance prediction in interactive online question pools. Specifically, we model the relationship between students and questions using student interactions to construct the student-interaction-question network and further present a new GNN model, called R^2GCN, which intrinsically works for the heterogeneous networks, to achieve generalizable student performance prediction in interactive online question pools. We evaluate the effectiveness of our approach on a real-world dataset consisting of 104,113 mouse trajectories generated in the problem-solving process of over 4000 students on 1631 questions. The experiment results show that our approach can achieve a much higher accuracy of student performance prediction than both traditional machine learning approaches and GNN models.

Online learning platform EdX; Google's open-source machine learning platform, TensorFlow; and HarvardX have put together a certification program to train tech professionals to work with tiny machine learning (TinyML). The program is meant to support this specialized segment of development that can include edge computing with smart devices, wildlife tracking, and other sensors. The program comprises a series of courses that can be completed at home. The idea is to scale machine learning to function in small form, edge devices that use far less power than desktop computers and have limited storage and processing capacity, says Anant Agarwal, CEO of EdX, which was founded by MIT and Harvard. That can include devices that operate on batteries, such as remote sensors, microphones, and cameras set up in the wilderness.

In a recent development, Amazon announced that it will make online courses by its Machine Learning University available to the public. The classes were previously only available to Amazon employees. The company believes that machine learning has the potential to transform businesses in all industries, but there's a major limitation: demand for individuals with ML expertise far outweighs supply. The Machine Learning University (MLU) was founded with an aim to meet this demand in 2016. It helped ML practitioners sharpen their skills and keep them abreast with the latest developments in the field.

A survey of youth 14-18 finds that they are interested in working with emerging technology, but feel unprepared to do so. As a response, IBM has launched three new AI-focused online tools to teach young people about the future of artificial intelligence. IBM's study of the cohort in 13 countries found that 68% of them think that AI will have a major impact on their lives, but half of that number (34%) said they don't feel properly equipped to use the technology that will make a large difference in their futures. "As a company bringing advanced technologies into the marketplace, we have a deep responsibility to ensure that learners have the skills required to participate in the digital economy," IBM said in its announcement of the new educational tools. More than half, 56%, of young people surveyed said they were interested in tech careers, and 60% of those were interested in emerging tech areas like cybersecurity and the cloud. When it comes to any one area of interest, AI dominates with 59% wanting to learn more about it.

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For 23 years, Larry Collins worked in a booth on the Carquinez Bridge in the San Francisco Bay Area, collecting tolls. The fare changed over time, from a few bucks to $6, but the basics of the job stayed the same: Collins would make change, answer questions, give directions and greet commuters. "Sometimes, you're the first person that people see in the morning," says Collins, "and that human interaction can spark a lot of conversation." But one day in mid-March, as confirmed cases of the coronavirus were skyrocketing, Collins' supervisor called and told him not to come into work the next day. The tollbooths were closing to protect the health of drivers and of toll collectors. Going forward, drivers would pay bridge tolls automatically via FasTrak tags mounted on their windshields or would receive bills sent to the address linked to their license plate. Collins' job was disappearing, as were the jobs of around 185 other toll collectors at bridges in Northern California, all to be replaced by technology.

Maria Viego and Cooper Glynn were thriving at their elementary schools. Maria, 10, adored the special certificates she earned volunteering to read to second-graders. Cooper, 9, loved being with his friends and how his teacher incorporated the video game Minecraft into lessons. But when their campuses shut down amid the COVID-19 pandemic, their experiences diverged dramatically. Maria is a student in the Coachella Valley Unified School District, where 90% of the children are from low-income families. She didn't have a computer, so she and her mother tried using a cellphone to access her online class, but the connection kept dropping, and they gave up after a week. She did worksheets until June, when she at last received a computer, but struggled to understand the work. Now, as school starts again online, she has told her mother she's frustrated and worried.

Online Courses Udemy Machine Learning - Get Your Hands Dirty by Solving Real Industry Challenges with Python Created by Kirill Eremenko, Hadelin de Ponteves, Dr. Ryan Ahmed, Ph.D., MBA, SuperDataScience Team, Rony Sulca English [Auto-generated] Students also bought Machine Learning Classification Bootcamp in Python Python for Computer Vision with OpenCV and Deep Learning Optimization problems and algorithms Machine Learning Regression Masterclass in Python Complete Guide to TensorFlow for Deep Learning with Python Preview this course GET COUPON CODE Description So you know the theory of Machine Learning and know how to create your first algorithms. There are tons of courses out there about the underlying theory of Machine Learning which don't go any deeper – into the applications. This course is not one of them. Are you ready to apply all of the theory and knowledge to real life Machine Learning challenges? We gathered best industry professionals with tons of completed projects behind.

The Indian Institute of Technology-Roorkee (IIT-R) in partnership with leading online learning platform Coursera on Thursday launched two new online certificate programmes for professionals looking to build skills in data science, Artificial Intelligence (AI) and Machine Learning (ML). The six-month certificate programme in AI and ML will consist of video lectures, hands-on learning opportunities, team projects, tutorials and workshops. The programme will also teach classical ML techniques and provide hands-on programming experience with'Tensorflow' software for model building, robust ML production and powerful experimentation. The certificate programme in data science will help professionals build skills in data science, machine learning, critical thinking, data collection, data visualization and data management. "We are delighted to partner with Coursera to help fulfil the goal of inclusive education of the New Education Policy," Professor Ajit K Chaturvedi, Director, IIT Roorkee, said in a statement.