If you're an office worker, student, administrator, or just want to become more productive with your computer, programming will allow you write code that can automate tedious tasks. This course follows the popular (and free!) book, Automate the Boring Stuff with Python. Automate the Boring Stuff with Python was written for people who want to get up to speed writing small programs that do practical tasks as soon as possible. You don't need to know sorting algorithms or object-oriented programming, so this course skips all the computer science and concentrates on writing code that gets stuff done. This course is for complete beginners and covers the popular Python programming language.

About this course: Do you want to know how robots work? Are you interested in robotics as a career? Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics? If so, then the "Modern Robotics: Mechanics, Planning, and Control" specialization may be for you. This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.

Today D-Wave Systems launch its new Quadrant business unit, formed to provide machine learning services that make state-of-the-art deep learning accessible to companies across a wide range of industries and application areas. Quadrant's algorithms enable accurate discriminative learning (predicting outputs from inputs) using less data by constructing generative models which jointly model both inputs and outputs. Quadrant offers the services of its in-house experts to help customers get the benefit of leading-edge machine learning solutions. D-Wave is committed to tackling real-world problems, today," said Vern Brownell, CEO at D-Wave. "Quadrant is a natural extension of the scientific and technological advances from D-Wave as we continue to explore new applications for our quantum systems." Quadrant's generative models combine the flexibility of deep neural nets with probabilistic graphical models to obtain the benefits of both. Arising from research into the application of quantum computing to machine learning, Quadrant solutions provide world-leading performance across a number of generative and discriminative benchmark problems. Unlike traditional approaches that require large volumes of labeled data, Quadrant's models deliver the benefits of high performance deep learning without the expense required to create large high-quality labeled datasets. Machine learning has the potential to accelerate efficiency and innovation across virtually every industry. Quadrant's models are able to perform deep learning using smaller amounts of labeled data, and our experts can help to choose and implement the best models, enabling more companies to tap into this powerful technology," said Handol Kim, Sr. Director, Quadrant Machine Learning at D-Wave.

A report from the House of Lords recommends that ethics be a key focus in the future of artificial intelligence, saying it should be developed "for the common good and benefit of humanity" and never given "autonomous power to hurt, destroy or deceive" people. AI in the UK: Ready, Willing and Able highlights the UK's opportunity to become a world-leading nation in the development of artificial intelligence but insists that clear-cut ethics must be established around the development and deployment of such technology. The report claims that, as a world leader, the UK can "help shape the ethical development of artificial intelligence" on a global scale; thus helping to set the fundamental guidelines for all future AI development. The report also addresses other key issues surrounding the development of AI – the potential effect on workers and data privacy rights. For some time now the issue of job losses due to the introduction of AI and robotics has been discussed, with conflicting claims of job losses and exaggeration of figures.

In this online course, you will be introduced to the essential techniques of text mining, understood here as the extension of data mining's standard predictive methods to unstructured text. This course will discuss these standard techniques, and will devote considerable attention to the data preparation and handling methods that are required to transform unstructured text into a form in which it can be mined.

Core ML is an exciting new framework that makes running various machine learning and statistical models on macOS and iOS feel natively supported. The framework helps developers integrate already prepared statistical and machine learning models into their apps. You will now be able to create applications that have machine learning functionality built in. Developers want to learn how to use the features inside Core ML to make their applications smarter when explored by users. These videos will show you just how to integrate machine learning into real-world applications.

This course is for students who wish to expend their knowledge about linear regression, beyond the technical details. This course is not for students without any background. Linear regression is not sexy. But you should know, that linear regression is the most important machine learning model. In practice, nearly every data science team in almost every company is using some form of linear regression to solve their problems.

In this online Python course from O'Reilly Media, you will learn how to program with the popular development language. This tutorial is designed for the beginner, and you do not need to have any experience at all with programming or development in order to learn how to program with Python using this video tutorial. Some of the topics that this course covers throughout the ultimate Python for beginners training include installing Python, data types and creating variables, input and output, decision making and repetition, iterators, list comprehension and functions. He also covers variable scope, modules - creating and using pre-built ones, object oriented programming, inheritance, exception handling and using data structures. By the completion of this python for beginners video based training course on Python programming, you will be comfortable with Python and how to apply it to developing applications.

The Australian government's 2018-19 Budget has earmarked a massive AU$2.4 billion for technology and science over the next 12 years in a bid to support "a stronger and smarter economy". "The government will invest more than AU$2.4 billion in Australia's public technology infrastructure," Treasurer Scott Morrison said in his Budget speech on Tuesday night. "This includes supercomputers, world-class satellite imagery, more accurate GPS across Australia, upgrading the Bureau of Meteorology's technology platform, a national space agency, and leading research in artificial intelligence." The government will invest AU$29.9 million over four years in AI and machine learning, which it said would support business innovation across digital health, digital agriculture, cybersecurity, energy, and mining. "This measure will also support Cooperative Research Centre projects, PhD scholarships, and school-related learning to increase knowledge and develop the skills needed for AI and machine learning."

About this course: Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important tools used in discrete mathematics: induction, recursion, logic, invariants, examples, optimality. We will use these tools to answer typical programming questions like: How can we be certain a solution exists? Am I sure my program computes the optimal answer? Do each of these objects meet the given requirements?