Bengaluru: A team of post-graduate students and teachers from the Electrical and Electronics Engineering (EEE) department of the Indian Institute of Technology (IIT) Guwahati, said they are developing an Artificial Intelligence (AI)-enabled chatbot to teach and support first year EEE students. Dubbed'ALBELA', the AI chatbot is capable of addressing the queries of the nearly 850 EEE students at the institute, the institution said in a statement on Tuesday. Professor Praveen Kumar of the EEE department said a dedicated team of seven research scholars has been developing the chatbot for the last seven months. "Earlier we did the trial runs of the chabot, and started using it from this academic session onwards," he said, adding that IBM has extended support to this project. The institute says the AI chatbot is trained to answer queries on topics relevant to the students.

There are 700 million people globally who learn music. An estimated 25-30 million people spend $100 annually on music lessons, from countries across the world with per-capita income higher than $15k. There is no real-time feedback during such practice sessions. This builds bad habits and hard to correct. Kena's goal is to enable real-time practice feedback and dynamic paths practice based on real-time diagnostics.

The individual filling this position will be responsible for leading the modernization of our teaching of machine learning, including developing new online and technology-assisted materials to improve educational outcomes and to extend our reach. They will work closely with the department head and other faculty to develop a strategic plan for taking advantage of new online and technology-assisted educational options over the coming decade. They will also be responsible for teaching classes and overseeing aspects of the educational program, e.g., admissions to our Ph.D. and Masters programs and advising undergraduate students minoring in Machine Learning. Candidates should have a Ph.D. with deep expertise in machine learning, and background of demonstrated excellence and dedication to teaching. Candidates must be prepared to teach extensive lecture courses at the advanced undergraduate and graduate level, and also be prepared to work with the existing faculty of the department to establish, improve, and standardize the curriculum.

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.