Successfully navigating a complex environment to obtain a desired outcome is a difficult task, that up to recently was believed to be capable only by humans. This perception has been broken down over time, especially with the introduction of deep reinforcement learning, which has greatly increased the difficulty of tasks that can be automated. However, for traditional reinforcement learning agents this requires an environment to be able to provide frequent extrinsic rewards, which are not known or accessible for many real-world environments. This project aims to explore and contrast existing reinforcement learning solutions that circumnavigate the difficulties of an environment that provide sparse rewards. Different reinforcement solutions will be implemented over a several video game environments with varying difficulty and varying frequency of rewards, as to properly investigate the applicability of these solutions. This project introduces a novel reinforcement learning solution, by combining aspects of two existing state of the art sparse reward solutions.

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.

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.

Some years ago, at Gramener, we built a customer churn modeling solution for one of the largest global telecom operators. The machine learning solution predicted which of their customers would leave, one month before they stopped usage. In test pilots, the solution helped reduce customer churn by more than 56 percent compared to the earlier process. We were amazed at the impressive results and stellar accuracy. But the celebrations were a bit premature, for the solution was never used.

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. For instance, when I graduated from university ten years ago with a degree in mass communication, I didn't know that most of what I would be working on in my company nowadays -- from creating 10-second social media videos and exploring the digital culture to working with social influencers -- would be things we didn't even explore in the classroom.

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.