When talking about the uses of AI in the education process, the possibilities are endless and, from that perspective at least, we're living astonishing days. So, are you ready to welcome Artificial Intelligence in a classroom near you? Just like computers, smartphone or the internet itself, AI will modify the function and face of education, its core'why, what and how?' Many students will have robot TA's instead of human ones that will be sharper in answering their queries, rate their assignments or set-up a meeting. Recent estimations show that the use of AI in the educational field is expected to grow up to a mind-blowing 47.5% by 2021.

Just to let you know, if you buy something featured here, Mashable might earn an affiliate commission. If you've ever trained a puppy before, you know just how valuable food rewards can be. After little Sparky realizes that the act of rolling over instantly earns him a mouthful of peanut butter, he starts performing the trick with increased enthusiasm and speed. This type of behavioral psychology -- getting something to act a certain way so that it maximizes its rewards -- has inspired a new approach to artificial intelligence called reinforcement learning. Named one of the 10 Breakthrough Technologies of 2017 by the MIT Technology Review, this revolutionary kind of machine learning allows computers to learn new things without human intervention through the mere act of experimenting.

Hyderabad, 15th November 2017: Times Professional Learning recently conducted a Deep Learning Workshop at Hyderabad, in association with its technology partner NVIDIA. The one day workshop got a good response from the technology enthusiasts of Hyderabad. The instructor-led NVIDIA Deep Learning Institute (DLI) Master Class on deep learning helped students and professionals understand various aspects of Machine Learning and Artificial Intelligence (AI). NVIDIA Deep Learning Institute (NVDLI) focuses on an instructor-led training for developers, data scientists and researchers. It was the first among a series of workshops to be conducted all across India at major cities such as Mumbai, New Delhi, Chennai, Pune and Bengaluru.

Amazon Web Services unveiled its latest wares in the cloud-computing arms race here on Wednesday, deploying a suite of services designed to let software developers take advantage of artificial intelligence capabilities without first getting a Ph.D. Andy Jassy, chief executive of the online retailer's cloud-computing unit, announced more than a dozen new services, including software that translates and transcribes speech, analyzes videos and gives developers a leg up in building their own tools. He was speaking in a keynote Wednesday morning at AWS's sixth annual re:Invent conference. "The hype and the hope here is tremendous," Jassy said of machine learning, the set of services that helps algorithms improve with experience. Many companies are experimenting with such services, he said, "yet I would argue it's still very early." Jassy's unit, Amazon's most profitable division, grew up by offering bite-sized, simple services: storage and computing power, at first, and later, database tools and other on-demand versions of existing business software.

Tree boosting has empirically proven to be efficient for predictive mining for both classification and regression. For many years, MART (multiple additive regression trees) has been the tree boosting method of choice. But a starting from 2015, a first to try, always winning algorithm surged to the surface: XGBoost. This algorithm re-implements the tree boosting and gained popularity by winning Kaggle and other data science competition. The paper introduce in first place the supervised learning task and discuss the model selection techniques.

The business world is steadily heading toward the prophetic 2018, when according to McKinsey the first void in data technology expertise will be felt in US and then gradually in the rest of the world. The demand-supply gap in Data Science and Machine Learning skills will continue to rise till academic programs and industry workshops begin to produce a ready workforce. In response to this sharp rise in demand-supply gap, more enterprises and academic institutions will collaborate to train future Data Scientists and ML experts. This kind of training will compete with the traditional Data Science classroom, and will focus more on practical skills rather than on theoretical knowledge. KDNuggets will continue to challenge the curious mind by publishing articles like 10 Algorithms that Machine Learning Engineers Should Know .

Give us your feedback Thank you for your feedback. It is not often that a new profession springs up almost overnight. It is also unusual for many of the people who find their way into this new field to do it without the formal training provided by the normal institutions of higher education. Machine learning, as well as the allied field of data science, is developing in a way that looks unlike most other professional career paths that preceded it. It represents both one of the most promising employment opportunities of the next few years and a model for how people entering the workforce today adapt to changes in employment demands in future.

Over the past year, I've spent most of my working time doing deep learning research and internships. And a lot of that year was making very big mistakes that helped me learn not just about ML, but about how to engineer these systems correctly and soundly. One of the main principles I learned during my time at Google Brain was that unit tests can make or break your algorithm and can save you weeks of debugging and training time. However, there doesn't seem to be a solid tutorial online on how to actually write unit tests for neural network code. Even places like OpenAI only found bugs by staring at every line of their code and try to think why it would cause a bug.

A Scottish university reached the final three of a prestigious international competition dedicated to advancing conversational artificial intelligence (AI). A team of Phd students from Heriot-Watt saw more than 100 entries from 22 countries including the likes of Harvard and Princeton to become the only UK institution to be placed in the Alexa Prize. A nine-strong team, named What's Up Bot, won plaudists from judges for their artificial intelligence software named Alana, which can understand and respond to human conversation. The annual competition is organised by online retail giant Amazon and is named after the Alexa voice command system that powers Amazon Echo. The team of PhD students from Heriot-Watt's school of mathematical and computer sciences finished behind fellow finalists, the Czech Technical University and eventual winners, the University of Washington, at a ceremony held in Las Vegas on Tuesday, 28 November.

While China has invested an enormous amount in artificial intelligence in recent years, most video analysis systems are currently used in national security, including defence and anti-terrorism activities.