Our research aims to develop interactive, social agents that can coach people to learn new tasks, skills, and habits. In this paper, we focus on coaching sedentary, overweight individuals (i.e., trainees) to exercise regularly. We employ adaptive goal setting in which the intelligent health coach generates, tracks, and revises personalized exercise goals for a trainee. The goals become incrementally more difficult as the trainee progresses through the training program. Our approach is model-based - the coach maintains a parameterized model of the trainee's aerobic capability that drives its expectation of the trainee's performance.
We first formulate the MDP for our problem, M S,? QWeb solves the above problem using deep Q network(DQN) to generate Q values for each state and for each atomic action. The training process is almost the same as traditional DQN with the help of reward augmentation and some curriculum learning approaches, which we will discuss later. But for now let's first focus on the architecture of QWeb, which is essentially the most fruitful part of this algorithm. Encoding user instructions: As we've seen in the preliminaries, a user instruction consists of a list of fields, i.e.,key-value pairs K, V .
In simple words, Decision Tree Classifier is a Supervised Machine learning algorithm which is used for supervised classification problems. Under the hood in decision tree, each node asks a True or False question about one of the features and moves left or right with respect to the decision. You can learn more about Decision Tree from here. We are going to use a Machine Learning algorithms to find the patterns on the historical data of the students and classify their knowledge level, and for that we are going to write our own simple Decision Tree Classifier from scratch by using Python Programming Language. Though i am going to explain everything along the way, it will not be a basic level explanation.
The field of learning has evolved drastically over the years. With the advent of e-learning and learning management systems, the process of learning has gone beyond the traditional model of classroom training. Now it is possible for instructors and teachers to reach a wider, international audience through online courses hosted on cloud based LMS platforms. Students can access these courses from any place in the world at any time, by simply logging into their account using their login credentials. Although e-learning is a complete and self-sustainable medium for imparting knowledge, it also works well in conjunction with traditional classroom training.
An international competition in artificial intelligence and robotics is set to take place in Dubai this week. The First Global Challenge aims to foster a culture of innovation and creativity in students across the UAE. The four-day event begins on October 24 at the Dubai Festival Arena and more than 1,500 young people are expected to attend. The theme of this year's contest is'Ocean Opportunities', with students competing to tackle issues from pollution to sustainability. "This event comes amidst repeated international calls to strengthen cooperation to find effective solutions to the issue of marine pollution by working on the adaptation of the latest technology," said Ahmed Al Falasi, Minister of State for Higher Education and Advanced Skills.
Last week, the UAE announced the launch of the Mohammed bin Zayed University for Artificial Intelligence (MBZUAI), a graduate-level institution in Abu Dhabi. The world's first university of its kind, which is accepting applications for September 2020, aims to develop a workforce ready to navigate a rapidly changing, technologically advancing world. This announcement is indicative of how our economies and workforce are changing, and the UAE's continuous effort to stay ahead of the curve. A 2016 study by Stanford University exploring what our lives will be like in 2030 with the influence of artificial intelligence (AI), found that almost all areas will be impacted by this technology. Our career paths are continuously evolving, and if our skills don't evolve, we will fall behind.
Last year SAP launched Incident Solution Matching based on artificial intelligence (AI) and machine learning technology in SAP ONE Support Launchpad. This machine learning service automatically recommends solutions from SAP Notes and SAP Knowledge Base Articles (KBAs) based on the incident data in the incident creation form and the view or edit form of open incidents. This year we have been continually working on improving the service quality and adding more personalized features. Now SAP S/4HANA Cloud customers are the first group to benefit from the enhanced recommendation content from Incident Solution Matching. When you select a system where the leading product is SAP S/4HANA Cloud and the issue description is related to SAP S/4HANA Cloud, you will receive recommended solutions not only from SAP Notes and KBAs but also from additional data sources – SAP Help, Roadmap Viewer and Fiori Apps Library.
The global artificial intelligence and education Market is significantly driven by the integration of intelligent algorithms as well as Advanced Technologies in to e-learning platforms. Education software, machine learning, and artificial intelligence are some of the Innovative learning models and Technologies change the rules and creating tremendous shift from the teaching methods. These technologies have completely transformed with a classroom. The sophistication level has increased tremendously with the increasing adoption of artificial intelligence and machine learning algorithms. These Technologies are becoming extremely useful for developing user-friendly decision support systems and used in knowledge acquisition applications, language translation, and information retrieval.
The first graduate-level AI university in the world has been announced in Abu Dhabi. The university will also engage policymakers and businesses around the world so that AI can be harnessed responsibly for positive transformation. Supervision of PhD students will happen in partnership with the Abu Dhabi-based Institute of Artificial Intelligence, and all admitted students will also be offered a full scholarship as well as monthly benefits including allowance, health insurance and accommodation. Internships will be provided in collaboration with local and global companies, and students will also be assisted in finding employment opportunities. His Excellency Dr Sultan Ahmed Al Jaber, UAE minister of state and chair of the MBZUAI board of trustees, said: "MBZUAI aligns with the vision of the UAE leadership that is based on sustainable development, progress and the overall wellbeing of humanity, and underpinned by capacity-building and active participation in finding practical solutions based on innovation and state-of-the-art technology. The MBZUAI is an open invitation from Abu Dhabi to the world to unleash AI's full potential."
With abundance of easy-to-use Machine Learning Libraries, it is often appealing to apply them and achieve greater than 80% prediction accuracy in most cases. But, 'WHAT TO TRY NEXT?' is a question that buzz me and may be other aspiring Data Scientists too. During my course'Machine Learning -- Stanford Online' at Coursera, Prof. Andrew Ng helped me sail through it. I hope this article, which briefs his explanation during one of his lectures, will help many of us to understand the importance of'debugging or diagnosing a learning algorithm'. To start with, let's call out all the possibilities or'WHAT TO TRY NEXT?' when a hypothesis makes unacceptably large errors in its predictions or when there is a need to improve our hypothesis: We will revisit this table to make smart choices and create our TOOL BOX.