This fall, we've teamed up with Google Cloud and O'Reilly Media to present a full four days of TensorFlow training at the O'Reilly Artificial Intelligence conferences -- in both San Francisco (Sep 4–7) and London (Oct 8–11). We've worked with the conference organizer to make all of the tutorials and sessions open to any conference pass holder. We'll be presenting an entire track of TensorFlow-oriented sessions, delivered directly by members of the TensorFlow and Google Cloud ML teams. Attendance to the TensorFlow training and sessions is open to any conference attendee, from Pavilion Plus pass holders up: we look forward to meeting you and talking TensorFlow!

Marketers today struggle to connect 1:1 with customers and prospects – and nowhere is that more apparent than the B2B website. Technology can help us, but not when it's geared towards spamming people with impersonal messages. With Artificial Intelligence (AI), B2B marketers have finally found a way to turn data into meaningful insights, converting those insights into action – at scale. In this webinar, Phil Hollrah and David Hsieh, SVP at Qubole, will discuss how Demandbase is integrating AI into website personalization to optimize the customer experience.

Microsoft has announced a whole host of Xbox updates, including new accessories and games. During the Gamescom event during which the future of the console was revealed, there were updates on just about every upcoming big game: details about Forza Horizon 4 were revealed, for instance, in the form of the Team Adventure mode that lets players compete together while taking on the world in races, games and other modes. And there was important information about existing ones, too. Xbox announced that PUBG will finally leave the Xbox Game Preview, for instance, meaning that it is at last considered a full game after developers struggled to make it work properly. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

I like to keep regular tabs on the state of data science education in America. As one of the hottest fields in the economy, I find that the quality of data science courses is a leading indicator of the state of online education innovation. So, when I see significant new develops in online education technology, I'll dedicate some time to taking the course (and, selfishly, I like to learn new data skills). One website that I've used before, Udacity, recently launched several new courses on artificial intelligence, machine learning and statistics. I've had mixed experiences with Udacity in the past.

This Machine Learning tutorial video is ideal for beginners to learn Machine Learning from scratch. By the end of this tutorial video, you will learn why Machine Learning is so important in our lives, what is Machine Learning, the various types of Machine Learning (Supervised, Unsupervised and Reinforcement learning), how do we choose the right Machine Learning solution, what are the different Machine Learning algorithms and how do they work (with simple examples and use-cases) and finally implement a Machine Learning project/ hands-on demo on Linear Regression Algorithm using Python. You can also go through the Slides here: https://goo.gl/aNmKbQ Machine Learning Articles: https://www.simplilearn.com/what-is-a... To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-... #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse - - - - - - - - About Simplilearn Machine Learning course: A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people's digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.

In this tutorial you will learn how to use OpenCV to detect text in natural scene images using the EAST text detector. OpenCV's EAST text detector is a deep learning model, based on a novel architecture and training pattern. It is capable of (1) running at near real-time at 13 FPS on 720p images and (2) obtains state-of-the-art text detection accuracy. In the reminder of this tutorial you will learn how to use OpenCV's EAST detector to automatically detect text in both images and video streams. To discover how to apply text detection with OpenCV, just keep reading!

Bagging (bootstrap aggregating) regression trees is a technique that can turn a single tree model with high variance and poor predictive power into a fairly accurate prediction function. Unfortunately, bagging regression trees typically suffers from tree correlation, which reduces the overall performance of the model. Random forests are a modification of bagging that builds a large collection of de-correlated trees and have become a very popular "out-of-the-box" learning algorithm that enjoys good predictive performance. This tutorial will cover the fundamentals of random forests. This tutorial serves as an introduction to the random forests.

There is a strong and natural relationship between robots and rubber duckies. Being small, cheap, colorful, and pleasingly compliant, duckies became a sort of physical Stanford Bunny--when you want to show the scale of a robot, or give a robot something to visually locate or grasp or something, just toss a duckie in there. This relationship was formalized through the 2016 ICRA conference, where duckies inspired a bunch of videos and some poetry that is surprisingly not terrible. Since then, duckies have been taking over in robotics--at this point, I'm fairly certain that Andrea Censi at ETH Zurich is held hostage by (and doing the bidding of) a small army of little yellow duckies. This would explain why an entire duckie village full of duckie-sized autonomous cars that you can learn how to program is now on Kickstarter, with the hope that you'll help them take over the entire world.

Recent research shows that the customer experience is still growing in importance for consumers when it comes to making their purchasing decisions. Many organisations are struggling to deliver a positive CX as they deal with more contact channels than ever before. Fortunately, there is a powerful new CX approach to help them build better relationships with customers: combining artificial intelligence and humans. Join Creative Virtual for an inside look at bringing together AI and human input to provide quality self-service options, improve live chat and contact centre performance, and increase customer satisfaction scores. Through a series of live demonstrations, you'll learn: Register now to see how organisations around the globe are already using the combination of humans and AI to provide perfect customer service and help them deliver a positive CX.

Proponents say that professors freed from routine tasks by AI technology can further challenge students to get a deeper understanding of material and assess them more accurately. For instance, adaptive courseware allows a professor to use a dashboard to assess how students are doing with homework and quizzes, check their mastery of the work and then perhaps offer a weekly lesson to fill gaps. Beyond that, researchers are developing technology that can provide study tips based on student behavior and work, or even guide teachers to provide teachers with feedback. Grades, researchers say, don't change much when AI is used. Nevertheless, a 2018 Gallup-Northeastern University survey shows that of 3,297 U.S. citizens interviewed, only 22% with a bachelor's degree said their education left them "well" or "very well prepared" to use AI in their jobs.