Many IT teams start out by manually purchasing Reserved Instances (RIs) and manually rightsizing cloud instances to try to keep a lid on cloud costs. But then – cloud usage grows and changes accelerate. New instance types are released. It's hard to manually utilize the entire RI portfolio, but if you under-buy RIs, you're leaving huge cost savings on the table. Please join our live webinar on Wednesday, May 23rd at 1pm to learn how Turbonomic's AI-powered decision engine continuously optimizes RI recommendations in concert with resizing automation – to drive the elasticity AND cost savings you want and expect from the cloud Mor Cohen-Tal, Cloud CTO, is Turbonomic's leading cloud evangelist and thought leader.

Python is a dynamic modern object -oriented programming language that is easy to learn and can be used to do a lot of things both big and small. Django is a fantastic web framework built with the Python programming language. With Django you can create websites and web apps very quickly and efficiently. Django is very fast,secure and scalable making it an attractive framework choice for thousands of developers. Python did not get it's name from the snake but rather from the British comedy group known as Monty Python.

Scala is a powerful multi-purpose programming language that is much appreciated for its simple object-oriented, functional style. This video starts with recipes that explore core language principles--covering topics such as strings, classes, types, methods, and arrays--before getting into concepts such as Object Oriented Programming. From there, you'll learn about functional programming techniques and how to handle files and processes. You'll go on to master concurrency in Scala, making use of the Akka framework. You'll learn about working with databases, and then about Reactive programming in Scala and how to use it to build robust microservices and distributed systems.

Google has revealed a "terrifying" new technology that you could use without ever knowing it. Among a host of announcements at its annual IO conference, it revealed that it had been working on a tool called "Duplex". It is an artificially intelligence assistant that can call people up and interact with them – without anyone ever knowing they were speaking to a robot. On stage, for instance, Google CEO Sundar Pichai showed how the bot could call people up and book a hairdressers' appointment. It went through the entire process of booking it – referring to the human as its "client" – without the person on the other end of the call ever realising that they were talking to a robot.

Tech giant Google has partnered with NITI Aayog to provide an artificial intelligence (AI)-based skill training opportunity to Indian startups as well as to budding entrepreneurs. The two parties have signed a statement of intent (SoI) to train and incubate Indian startups specialising in AI-based technology. The beneficiaries of the programme will include startups and students (graduates and engineers) across universities and colleges. The training will be imparted through online and developer-run courses in the form of study groups, NITI Aayog said in a media statement. NITI Aayog CEO Amitabh Kant said, "NITI's partnership with Google will unlock massive training initiatives, support startups, and encourage AI research through PhD scholarships, all of which contributes to the larger idea of a technologically empowered New India."

OpenCV is a native cross-platform C library for Computer Vision, Machine Learning, and image processing. It is increasingly being adopted for development in Python. This course features some trending applications of vision and deep learning and will help you master these techniques. You will learn how to retrieve structure from motion (sfm) and you will also see how we can build an application to capture 2D images and join them dynamically to achieve street views by capturing camera projection angles and relative image positions. You will also learn how to track your head in 3D in real-time, and perform facial recognition against a goldenset.

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.

Google has announced sweeping changes to its news offering, as it looks to prioritise trust. The company has long offered a specialist news service that aggregates stories from around the rest of the web. But the internet has become a much more difficult place for the news, after a run of stories that have undermined trust in platforms and publishers. Now the site claims that its newly redesigned Google News offering will make it far easier to keep up with the news, and avoid false or misleading reports. It does that using a combination of artificial intelligence and other tools.

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.

Advanced R LiveLessons, Part I teaches R programmers techniques for dealing with large data, both in memory and in databases. It also covers advanced machine learning, network analysis, web graphics, and documents and presentations. In this video training Jared starts with reading XML data and some common data manipulation operations using various base R functions and packages like plyr, comparing the speed of in memory calculations. He then demonstrates more advanced techniques for accomplishing the same task such as data.table, He then turns to some other useful advanced concepts and techniques.