Today, every man, women and child no matter his or her origin, race, or economic circumstance can enrich their lives through educational made available through AI/ML educational learning systems. The caveat is connectivity access. Education assures equality and I believe is a better use of appropriated inequality funds rather than doling them out. I am a proponent of "teaching to fish" for the long-term. Education for all peoples in all countries with all languages will be as equally disseminated depending on the availability of connectivity and AI/ML educational systems.

The China Pharmaceutical University in Nanjing is testing an AI-based facial recognition system in its classrooms, in order to monitor student behavior and identify those that skip classes. According to local publication The Paper, the system, developed by Chinese startup Megvii, can automatically check attendance and report whether students are paying attention, reading, playing with their phone or napping. It also tracks how many times a student has raised their hand. The same facial recognition system is being used across the campus for access control, securing gates to facilities like libraries, laboratories and student dormitories. Xu Jianzhen, director of the Library and Information Center of China Pharmaceutical University, told The Paper that once student details are in the system, individual students can be recognized in just a second, making it faster and more convenient than alternative methods of access control.

Scientists at the University of Oxford have developed new artificial intelligence software to recognise and track the faces of individual chimpanzees in the wild. The new software will allow researchers and wildlife conservationists to significantly cut back on time and resources spent analysing video footage, according to the new paper published today in Science Advances. "For species like chimpanzees, which have complex social lives and live for many years, getting snapshots of their behaviour from short-term field research can only tell us so much," says Dan Schofield, researcher and DPhil student at Oxford University's Primate Models Lab, School of Anthropology. "By harnessing the power of machine learning to unlock large video archives, it makes it feasible to measure behaviour over the long term, for example observing how the social interactions of a group change over several generations." The computer model was trained using over 10 million images from Kyoto University's Primate Research Institute (PRI) video archive of wild chimpanzees in Guinea, West Africa.

Link: [2019] MACHINE LEARNING REGRESSION MASTERCLASS IN PYTHON In Courses Buddy you will find the best online courses on the categories you want to learn. Our team explores many courses in many ...BESTSELLER 4.7 (41 ratings) 727 students enrolled Created by Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard What you'll learn Master Python programming and Scikit learn as applied to machine learning regression Understand the underlying theory behind simple and multiple linear regression techniques Apply simple linear regression techniques to predict product sales volume and vehicle fuel economy Apply multiple linear regression to predict stock prices and Universities acceptance rate Cover the basics and underlying theory of polynomial regression Apply polynomial regression to predict employees' salary and commodity prices Understand the theory behind logistic regression Apply logistic regression to predict the probability that customer will purchase a product on Amazon using customer features Understand the underlying theory and mathematics behind Artificial Neural Networks Learn how to train network weights and biases and select the proper transfer functions Train Artificial Neural Networks (ANNs) using back propagation and gradient descent methods Optimize ANNs hyper parameters such as number of hidden layers and neurons to enhance network performance Apply ANNs to predict house prices given parameters such as area, number of rooms..etc Assess the performance of trained Machine learning models using KPI (Key Performance indicators) such as Mean Absolute error, Mean squared Error, and Root Mean Squared Error intuition, R-Squared intuition, Adjusted R-Squared and F-Test Understand the underlying theory and intuition behind Lasso and Ridge regression techniques Sample real-world, practical projects Requirements Machine Learning basics PC with Internet connetion Artificial Intelligence (AI) revolution is here! The technology is progressing at a massive scale and is being widely adopted in the Healthcare, defense, banking, gaming, transportation and robotics industries. Machine Learning is a subfield of Artificial Intelligence that enables machines to improve at a given task with experience. Machine Learning is an extremely hot topic; the demand for experienced machine learning engineers and data scientists has been steadily growing in the past 5 years.

The world's top research labs are rapidly improving a machine's ability to understand and respond to natural language. Machines are getting better at analyzing documents, finding information, answering questions and even generating language of their own. Aristo was built solely for multiple-choice tests. It took standard exams written for students in New York, though the Allen Institute removed all questions that included pictures and diagrams. Answering questions like that would have required additional skills that combine language understanding and logic with so-called computer vision.

Machine learning is impacting countless industries, from the recent discovery of a black hole to improving healthcare, we are just scratching the surface. The retail industry is a prime example. Retailers and manufacturers are racing to figure out how they can employ machine learning to target specific consumers, monitor trends, and discover new pricing models. While retailers and manufacturers are doubling down on new ways to target and sell to consumers, Jia Rui Ong, a two-time Nanodegree program graduate, and his team are employing machine learning to help you, the consumer, find the best price for the clothing you desire. We recently had a chance to sit down with Jia Rui Ong and his team at Yux to discuss their product, as well as, our newly updated Machine Learning Nanodegree program.

IIT Kharagpur has collaborated with Amazon Web Services (AWS) to develop a resource portal to promote learning and development in the artificial intelligence (AI). Powered by Amazon SageMaker, a cloud machine learning platform, the National Artificial Intelligence Resource Portal (NAIRP) is aimed at making the search for AI learning resources simpler and more accessible to learners, practitioners and researchers in India, an IIT KGP statement said here on Saturday. The initiative has got funding from the Ministry of Human Resources Development, as part of the National Digital Library of India (NDLI) project which is being spearheaded by the premier institute. With the launch of NAIRP, machine learning practitioners will be able to search quickly and get access to myriads of learning resources, it said. "The contributions from AWS will enable us to provide cloud computing to all learners and reduce the high barrier to make training in AI more available," former IIT Kharagpur Director and Professor Partha Pratim Chakrabarti said.

You're looking for a complete Linear Regression course that teaches you everything you need to create a Linear Regression model in Excel, right? You've found the right Linear Regression course! After completing this course you will be able to: · Identify the business problem which can be solved using linear regression technique of Machine Learning. A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course. If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular technique of machine learning, which is Linear Regression Why should you choose this course?

Automation is not likely to eliminate millions of jobs any time soon -- but the U.S. still needs vastly improved policies if Americans are to build better careers and share prosperity as technological changes occur, according to a new MIT report about the workplace. The report, which represents the initial findings of MIT's Task Force on the Work of the Future, punctures some conventional wisdom and builds a nuanced picture of the evolution of technology and jobs, the subject of much fraught public discussion. The likelihood of robots, automation, and artificial intelligence (AI) wiping out huge sectors of the workforce in the near future is exaggerated, the task force concludes -- but there is reason for concern about the impact of new technology on the labor market. In recent decades, technology has contributed to the polarization of employment, disproportionately helping high-skilled professionals while reducing opportunities for many other workers, and new technologies could exacerbate this trend. Moreover, the report emphasizes, at a time of historic income inequality, a critical challenge is not necessarily a lack of jobs, but the low quality of many jobs and the resulting lack of viable careers for many people, particularly workers without college degrees.

Tens of thousands of students at universities across the country are using Otter.ai to stay on top of classes, reading lists, group assignments, research interviews, and exam preparation. A dozen students will be profiled on Otter's blog over the coming months, and their insights have been compiled into a helpful article by college student Sydney Kuntz of American University. "Otter is more than speech recognition. It is a new medium which captures what is said in a form that can be reviewed, freeing students to ask questions, develop ideas and participate in discussions," said Sydney Kuntz, Otter user and journalism student at American University. "Using Otter, I can record directly or upload audio/video files to transcribe. I can also add photos of whiteboards or slides from class presentations, during or after recording. And with features like keywords and highlighting, even hour-long lectures are very easy to navigate and search."