The College of Humanities and Social Sciences (CHSS) at HBKU aims to deliver innovative programs that meet educational needs in the fields of humanities and social sciences for Qatar and the region. The College of Humanities and Social Sciences (CHSS) at Hamad Bin Khalifa University (HBKU) invites applications for Open Rank positions in the field of Translation Studies. The successful candidate will have long-standing experience in the field of Intercultural and Literary Translation, or Machine Translation, Artificial Intelligence and/or Terminology, a dynamic and innovative research agenda, as evidenced through an internationally recognized, strong record of peer-reviewed publications. The candidate will work closely with other programs in the college, in particular the PhD Program in Humanities and Social Sciences, and with national, regional and international partners and stakeholders. The candidate will be expected to teach graduate courses at MA and PhD level, applying a range of methodologies for teaching and assessment, contribute to all levels of curriculum development in the area(s) of specialty including the development of the interdisciplinary PhD in Humanities and Social Sciences.
Everybody wants to do machine learning these days. Machine learning, data science, artificial intelligence, deep learning, neural network -- these have become some of the most used phrases in the tech space today. I'm not saying it's particularly bad, but it definitely gets scary for somebody who doesn't really know what all this means but wants to get into the rat race. When you think about it, from a software developer's point of view, these are just different types of software or applications you work on, but with more math involved. I know I'm oversimplifying what data science is, but for somebody who doesn't have a mathematics or statistics background, it is very difficult to understand the jargon initially.
Almost 37% of organizations have invested $5 million or more in cognitive technologies, states a survey by Deloitte. Inside and under every app we use every day there lies the revolution of technology. A revolution that started decades ago is now empowering organizations to deliver better and smarter services. The demand for artificial intelligence professionals has rapidly increased. But since AI adoption is still in its infancy there is a dearth for talent.
Udacity, the Silicon Valley based lifelong learning platform, announced its newest initiative to expand students' artificial intelligence skills: the Intel Edge AI Scholarship Program. This new scholarship program, announced at the Intel AI Summit and the Future of Education and Workforce Summit in San Francisco, will empower professional developers interested in advanced learning, specifically deep learning and computer vision, to accelerate the development and deployment of high-performance computer vision and deep learning solutions. Computer vision and AI at the edge are becoming instrumental in powering everything from factory assembly lines and retail inventory management to hospital urgent care medical imaging equipment like X-ray and CAT scans. This program will teach fluency in some of the most cutting-edge technologies. Upon successful completion of the first phase of the program, students will also have the opportunity to earn their way to a full scholarship to the Intel Edge AI for IoT Developers Nanodegree program, a brand-new Udacity Nanodegree program built in partnership with Intel.
Data Science Specialization is one of the best known sets of courses offered by Coursera in conjunction with Johns Hopkins University. This specialization covers the concepts and tools you'll need throughout the entire data science pipeline. The Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses. Coursera John Hopkins Data Science is a ten course program that covers the data science process from data collection to the production of data science products. It focuses on implementing the data science process in R. Coursera Johns Hopkins data science certification includes 9 courses and a capstone project.
The rise of technology within the education sector over the last few decades has been astounding. This is certainly the case if we consider that teaching with technology has become pervasive in almost every classroom environment. Within today's classroom, for example, we find ourselves surrounded by devices such as smart boards, AV, computers, laptops, tablets and phones, to name but a few technologies which are now being integrated into teaching. We have also seen the rise of the virtual learning environment and blended learning, alongside a significant rise in online education. This has allowed distance learning to take new forms and shapes and to reach greater audiences around the world.
Learning new skills to enhance your abilities to do a task effectively can be a hectic schedule especially if you are an employee. It's hard to chase coaching or learning centers after spending 8-10 hours in the office per day. And when it comes to becoming technology-efficient specifically in the field of data science, you need to have the best qualification, handy experiences to get better job opportunities in this high in-demand profession. To ease out people's hectic schedules without compromising with the quality of the education, online platforms like Coursera, Udemy, eDX and many more have a collection of data science certification and courses. Adding a touch of extra bonanza, these courses are free of cost.
Good day, The biggest AI bootcamp in Nigeria is here! Will you be part of the best of the best who will make it to the all-expense paid residential Artificial Intelligence Bootcamp?... This was a mail I received on September 24 from Data Science Nigeria. And below is a snippet of what I got on Data Science Nigeria's website today. I started my programming journey back in September, 2018 with the most highly rated course on Udemy courtesy of my mentor, Fakorede Abiola.
With each passing year, parents are getting more worried about how their children will fare once it's time to take that step from school to the workforce. They have good reason to fret. Some 17 million Americans under age 30--about one third of the under-30 population--are saddled with student debt. Many are worried about their career prospects despite having invested--heavily, in some cases--in education. The cost of college is being hotly debated.
Recognizing users' strong interest in the emerging field of spatial data science, Esri is adding a new course--Spatial Data Science: The New Frontier in Analytics--to its popular lineup of massive open online courses (MOOCs). Opening in 2020, the course will explore how incorporating spatial data, tools, and methods enhances analytical and predictive models. Data scientists, GIS analysts, and others with a strong background in statistics and analytics will find the course beneficial. Attendees should plan to spend three to four hours per week on the course. Esri will award a certificate of completion to everyone who completes the MOOC.