Are you looking for Best Kotlin Tutorial? Here is the 13 Best Kotlin Tutorial for Beginners, Course, and Certification 2019. Grab this Kotlin course that will help you to become a master in Kotlin programming language. Now Kotlin is an officially supported language for Android. This article provides 13 Best Kotlin Tutorial for Beginners, Course, and Certification 2019. In recent years the Kotlin has tremendous popularity in terms of developing the application such as android application. Through this article, anyone will understand the essentiality of Kotlin. According to Wikipedia, Kotlin is a statically typed, cross-platform, general-purpose programming language with type inference. Kotlin is designed to interoperate fully with Java, and the JVM version of its standard library depends on the Java Class Library, but type inference allows its syntax to be more concise. The Kotlin course best course for the people who are starting Android development.

Machine learning, a subset of artificial intelligence (AI), enables analysis of massive quantities of data. While it generally delivers faster, more accurate results in order to identify profitable opportunities or dangerous risks, it may also require additional time and resources to train it properly. Combining machine learning with AI and cognitive technologies can make it even more effective in processing large volumes of information. There are those who still associate artificial intelligence (AI) and machine learning (ML) with science fiction novels and movies like the Matrix. In reality, machine-learning is already with us, seeping into our everyday lives without much fanfare.

Although numerous ethics courses are available, with many focusing specifically on technology and computer ethics, pedagogical approaches employed in these courses rely exclusively on texts rather than on software development or data analysis. Technical students often consider these courses unimportant and a distraction from the "real" material. To develop instructional materials and methodologies that are thoughtful and engaging, we must strive for balance: between texts and coding, between critique and solution, and between cutting-edge research and practical applicability. Finding such balance is particularly difficult in the nascent field of responsible data science (RDS), where we are only starting to understand how to interface between the intrinsically different methodologies of engineering and social sciences. In this paper we recount a recent experience in developing and teaching an RDS course to graduate and advanced undergraduate students in data science. We then dive into an area that is critically important to RDS -- transparency and interpretability of machine-assisted decision-making, and tie this area to the needs of emerging RDS curricula. Recounting our own experience, and leveraging literature on pedagogical methods in data science and beyond, we propose the notion of an "object-to-interpret-with". We link this notion to "nutritional labels" -- a family of interpretability tools that are gaining popularity in RDS research and practice. With this work we aim to contribute to the nascent area of RDS education, and to inspire others in the community to come together to develop a deeper theoretical understanding of the pedagogical needs of RDS, and contribute concrete educational materials and methodologies that others can use. All course materials are publicly available at https://dataresponsibly.github.io/courses.

This course is an Introduction to automated machine Learning libraries in python using google colab notebook.

AI in education is more than science fiction. One study found that 34 hours on Duolingo's app are equivalent to a full university semester of language education. But educational AI and the broader category of educational technology (EdTech) go well beyond language learning. Companies like Carnegie Learning and Fuel Education apply artificial intelligence to K-12 learning. One of the most popular EdTech platforms, McGraw Hill's ALEKS, is a web-based, AI-powered assessment and learning system that covers K-12, homeschool and even college content.

You all know of Coursera's machine learning course and Andrew Ng's deep learning specialization. You even talk about fast.ai, These are all excellent resources to learn data science, but I want to make you aware of a lesser-known, yet superb, set of courses with which you can augment your knowledge in only a few hours. You've probably heard of Kaggle. You most likely have even participated in a challenge and maybe uploaded some kernels, but did you know Kaggle also provides data science education?

This workshop is part of the Data - Break Workshops Series which will take place during Spring Break. Participants will have the choice to participate in one of 2 specialized Workshops occurring simultaneously. Traditional software engineering techniques are inadequate for designing machine learning based systems. This workshop is organized in response to the interest generated by machine learning, and in response to training needs in this field. For more information, please click here .

EU presidency extends access to free AI course across EU Jan Petter Myklebust 13 December 2019 European Union employment ministers have endorsed a proposal from Finland's Presidency of the Council of the EU to provide European citizens with free access to a successful online course on basic artificial intelligence (AI), developed and run by the University of Helsinki in partnership with private firm Reaktor. To achieve this, the course on "Elements of AI" will be made available in all official EU languages. The Finnish government will fund the project with €1.7 million (US$1.9 million) from Finland's Ministry of Economic Affairs and Employment as part of the EU Council presidency's effort to democratise awareness of AI and develop people's skills for jobs of the future. At the launch of the initiative in Brussels on 10 December, Finland's Minister of Employment Timo Harakka said: "Our investment has three goals: we want to equip EU citizens with digital skills for the future; we wish to increase practical understanding of what artificial intelligence is; and by doing so, we want to give a boost to the digital leadership of Europe." "As our presidency ends, we want to offer something concrete. It's about one of the most pressing challenges facing Europe and Finland today: how to develop our digital literacy," Harakka said.

The Nordic nation, headed by the world's youngest head of government, Sanna Marin, will mark the end of its rotating presidency of the EU with a highly ambitious goal. Finland is aiming to give practical understanding of AI to 1% of EU citizens -- or about five million people -- through a basic online course by the end of 2021. As its presidency gift to Europeans, the Finnish state provides the free online course by us and @ReaktorNow, translated to all official EU languages. It is teaming up with the University of Helsinki, Finland's largest and oldest academic institution, and the Finland-based tech consultancy Reaktor. Teemu Roos, a University of Helsinki associate professor in the department of computer science, described the near £1.5 million project as "Finland's gift to Europe" and "a civics course in AI" for every EU citizen to cope with the society's ever-increasing digitalisation and the possibilities AI offers to the job market and elsewhere.

Starting at an introductory level, this book is a comprehensive guide to the fascinating world of robotics, covering sensor integration, modeling, simulation, computer vision, navigation algorithms, and more. You will then go on to explore concepts such as topics, messages, and nodes. Next, you will learn how to make your robot see with HD cameras, or navigate obstacles with range sensors. What's new in this updated edition? First and foremost, we are going to work with ROS Hydro this time around.