We are so happy to announce that NYC Data Science Academy is yet again, the best data science school on SwitchUp! For the fifth year in a row, NYC Data Science Academy has topped SwitchUp's year-end list with a rating of 4.9/5 and with 265 student and alumni reviews. NYCDSA has been receiving recognition for the'Best Data Science Bootcamp' since 2016. Each year, SwitchUp ranks bootcamps from around the world based on over 15,000 verified student reviews, across over 500 bootcamps in operation, and ratings of curriculum, job support, and overall experience. This year, SwitchUp ranked the best 18 data science bootcamps around the world, based on alumni reviews.

Mark Kingwell is a professor of philosophy at the University of Toronto. More than five decades ago, Marshall McLuhan argued that media are ecosystems, extensions of human consciousness. The famous adage that the medium is the message also means, as the often-misquoted title of McLuhan's famous book notes, that the medium is the mass age. We are all immersed in media and technology. Media have changed a lot since McLuhan wrote: less broadcast, more diffusion and unruliness.

By nature, I am an optimist. Despite geopolitical and economic challenges, I believe the world's best days remain ahead. Just look right here in India. In the last decade, more than 200 million people have been lifted out of extreme poverty. That is a staggering accomplishment.

How do OfSTED determine which schools to inspect? On Wednesday 11th April, I attended an NAHT meeting, a new commission on accountability, spanning every phase and sector of education. Over the next few months it will canvass the views of some of the foremost thinkers in this area of education policy with the aim to have interim findings before the summer term and to publish our full report in September 2018. This post captures a presentation delivered by an OfSTED representative and not the meeting itself. When will [XYZ school] be inspected?

In the next five to ten years, your workplace will look fundamentally different. Thanks to technologies such as artificial intelligence, the internet of things and robotics work as we know it will drastically change. The future of work will come with great opportunities but also with plenty of challenges for organisations. It will require employees and management to adapt and work smarter. AI will augment your jobs, the Internet of Things will provide you with details insights and robotics will replace many jobs.

Last February, OpenAI, an artificial intelligence research group based in San Francisco, announced that it has been training an AI language model called GPT-2, and that it now "generates coherent paragraphs of text, achieves state-of-the-art performance on many language-modelling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarisation – all without task-specific training". If true, this would be a big deal. But, said OpenAI, "due to our concerns about malicious applications of the technology, we are not releasing the trained model. As an experiment in responsible disclosure, we are instead releasing a much smaller model for researchers to experiment with, as well as a technical paper." Given that OpenAI describes itself as a research institute dedicated to "discovering and enacting the path to safe artificial general intelligence", this cautious approach to releasing a potentially powerful and disruptive tool into the wild seemed appropriate.

Imagine your workplace ten years from now. Chances are it'll be very different from today thanks to the rapid technological change that are changing the nature of work, the dynamics of the workforce, and the notion of the workplace. To stay relevant and competitive, you need to understand the impact of emerging technologies on the future of work. Once a recurrent theme in science fiction books and movies, the era of automation has well and truly arrived--and it is not just in the form of walking and talking robots. The rise of Artificial Intelligence (AI) has pervaded industries ranging from healthcare, retail, transport to food and beverage.

North Carolina's public community colleges had a problem. Although the system had a wealth of learning resources faculty members could use to develop their courses, there was no simple way to share and organize those materials across all 58 campuses. That will soon change, however, with the help of artificial intelligence (AI). Through the machine learning company Tanjo, the community college system is rolling out a custom AI "brain" in the coming months that will map and organize its digital content. The new tool will be critical to linking faculty to relevant resources, said Richard Boyd, Tanjo's CEO. Rather than wade through thousands of files in disparate places, faculty members will be able to use the AI system to source documents of interest to them from a central location.

Today, programmers interested in machine learning potential talk about building apps with artificial intelligence and the tools for AI-based software development. Good examples include solutions like PyTorch and TensorFlow, among others. However, machine learning technology is affecting the programming world in yet another interesting way. We are talking about recent software development solutions that employ machine learning algorithms to ease and streamline the work of developers. Three of them are already selling on the market, while the other two are still in the testing phase.

Artificial intelligence (AI) is "summoning the demon," Elon Musk warned, continuing a great tradition of fearful warnings about new technology. In the 16th century, the Vicar of Croyden warned how Gutenberg's demonic press would destroy the faith: "'We must root out printing or printing will root us out,' the Vicar told his flock."1 Preceding Musk's invocation of the devil by a couple of centuries, an Ohio school board declared the new steam railroad technology to be "a device of Satan to lead immortal souls to hell."2 Others warned of secular effects: The passing of a steam locomotive would stop cows from grazing, hens from laying, and precipitate economic havoc as horses became extinct and hay and oats farmers went bankrupt.3 Only a few years later, demonic fears appeared once again when Samuel Morse's assistant telegraphed from Baltimore suggesting suspension of the trial of the first telegraph line. Because the city's clergy were preaching that messages by sparks could only be the work of the devil. Morse's assistant feared these invocations would incite riots to destroy the equipment.4