The difference between regression machine learning algorithms and classification machine learning algorithms sometimes confuse most data scientists, which make them to implement wrong methodologies in solving their prediction problems. Andreybu, who is from Germany and has more than 5 years of machine learning experience, says that "understanding whether the machine learning task is a regression or classification problem is key for selecting the right algorithm to use." Let's start by talking about the similarities between the two techniques. Regression and classification are categorized under the same umbrella of supervised machine learning. Both share the same concept of utilizing known datasets (referred to as training datasets) to make predictions. In supervised learning, an algorithm is employed to learn the mapping function from the input variable (x) to the output variable (y); that is y f(X).

Cameras streaming high-definition images over superfast mobile networks could improve security in schools and on our streets, and help cities run their services more efficiently, tech experts say. Beyoncé Brooks, a 17-year-old student at Millennium High School in Goodyear, Arizona, US, says her school has practice lockdowns each term to deal with gun incidents. She says there is "probably one real lockdown" a year at her school of 2,000 students. "Basically, we turn the lights off, the door is locked, and we all sit in the corner of the room huddled. The teachers don't really say anything, so we don't know if it's something that's real," she says. "We have thousands of cameras around us," says Ms Brooks, who has become a March for Our Lives organiser.

The success of IT Sligo in securing competitive funding under the Erasmus Programme will not only lead to enhanced knowledge and expertise in an area of critical need but is a tangible example of how higher education benefits citizens. The approach of the Institute also demonstrates its willingness to draw from and contribute to the knowledge base in Europe with partners from five other EU member states as well as NUI Galway involved in the project. International collaborations of this type are essential to ensure that the Irish higher education sector maintains and enhances its capacity to deliver education and training relevant to our needs.

Helsinki University is offering a free online Artificial Intelligence course in English to anyone, anywhere. This free Artificial Intelligence (AI) online course is made for non-technical people so no special knowledge or skills are needed to take the course. AI is embedded in so many part of our lives - this course is meant to dispel any mystery around the technology that AI uses, the impact it has on our lives and how AI will develop in the coming years. Do you wonder what AI really means? Are you thinking about the kind of impact AI might have on your job or life?

Science, technology, engineering, and mathematics--companies everywhere appear to be fighting for workers in the STEM fields to get a head start in building artificial intelligence capability. But as companies continue to push into uncharted, albeit promising, territories around A.I., they're also looking for hires in so-called softer fields to help A.I. mature ethically and free of the unwanted biases that come with their human makers. Speaking at Fortune's Most Powerful Women Summit in Laguna Niguel, Calif. on Tuesday, Fortune 500 and Global 500 executives said they also seek psychologists, philosophers, and interpreters. Executives from IBM, Guardian Life Insurance, and RBC said soft skills are very much in demand as they confront the unintended consequences of nascent technology. "We decided to build a whole division around responsible A.I.," said Ana Paula Assis, president of IBM's Latin America unit.

Facebook today announced the release of deep learning framework PyTorch 1.0 in developer preview, which includes a series of tools and integrations to make it more compatible with popular services from Google Cloud, Amazon Web Services, and Microsoft's Azure Machine Learning. Arm, Nvidia, Qualcomm, and Intel are also adding PyTorch support for things like kernel library integrations and tools to track inference runtime. PyTorch was released to the public in January 2017 and has been downloaded more than 1 million times. PyTorch 1.0 was first announced in May at the F8 developer conference, and includes deeper integration with Facebook's Caffe2 and ONNX. Back in May, Facebook VP Bill Jia and CTO Mike Schroepfer promised PyTorch 1.0 would launch with new pretrained models, tools, and libraries to give developers more flexibility and options.

With the 19th International Conference on Artificial Intelligence in Education (AIED) being held later this month, it might be a good time to start thinking about the very possible future of AI in schools and what it might mean for your children--both the good and the bad. If you're a parent or in the education field, you will no doubt be up to date on the ways that education in public schools and universities across the nation have already been steadily adapting towards a more technology-driven and data-producing form. Gone are the dusty chalkboards, the endless piles of handwritten essays, the class trips to the magical and always-too-warm computer lab, and those annoying moments when "that" student decides to spend 25 minutes staring out of the window while "using the pencil sharpener." Instead, students across the nation are utilizing Google's Chromebooks and collaborating on shared documents. What's more, they're learning to code as a basic element of their curriculum.

Via UT Dallas Mercury News Megan Zerez – For professors struggling to cope with stacks of papers to grade, new software -- developed by a UT Dallas researcher and powered by artificial intelligence -- may offer a long-term solution. Vincent Ng, a computer science professor who works with UT Dallas Human Language Technology Research Institute, is developing an automated grading system for longform essays. Ng said the goal of the technology is to remove the need for human graders altogether. "Essay grading is one of the very important applications of natural language processing," Ng said. "For one, it has a lot of commercial value. Grading essays requires an enormous amount of human labor, and these are hours that can be spent elsewhere in the classroom."

Artificial intelligence is transforming the traditional delivery of legal services. In general terms, the set of tools broadly called "legal analytics" promises to do two things: increase the efficiency of tasks that once required substantial time and human effort, and mine masses of data to discover new insights that were previously inaccessible. As legal scholars, we're excited about the promise of applying these tools to legal research questions. Students are involved too, so that we can educate the next generation of lawyers to leverage these tools in their own practices. Suppose that a company wants to forecast which employee complaints lead to lawsuits.

The latest version is 2.0.1. TensorFlow -- Machine Learning Software, is an open source software library for machine learning. It was developed by the Google team for sorts of perceptual tasks. Also, to conduct sophisticated research on machine learning and deep neural networks. TensorFlow performs numerical computations using data flow graphs. These elaborate the mathematical computations with a directed graph of nodes and edges. Edges describe the input/output relationships between nodes. Data edges carry dynamically-sized multi-dimensional data arrays or tensors.