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.

Artificial intelligence, defined as intelligence exhibited by machines, has many applications in today's society. More specifically, it is Weak AI, the form of A.I. where programs are developed to perform specific tasks, that is being utilized for a wide range of activities including medical diagnosis, electronic trading, robot control, and remote sensing. AI has been used to develop and advance numerous fields and industries, including finance, healthcare, education, transportation, and more. AI for Good is a movement in which institutions are employing AI to tackle some of the world's greatest economic and social challenges. For example, the University of Southern California launched the Center for Artificial Intelligence in Society, with the goal of using AI to address socially relevant problems such as homelessness. At Stanford, researchers are using AI to analyze satellite images to identify which areas have the highest poverty levels.[1] The Air Operations Division (AOD) uses AI for the rule based expert systems. The AOD has use for artificial intelligence for surrogate operators for combat and training simulators, mission management aids, support systems for tactical decision making, and post processing of the simulator data into symbolic summaries.[2]

Quantitative asset management company WorldQuant, in partnership with global online learning company Udacity, has launched a new Artificial Intelligence for Trading Nanodegree program. Students enrolled in the programme will analyse real data and build financial models by learning the basics of quantitative trading, as well as how to analyse alternative data and use machine learning to generate trading signals. Udacity and WorldQuant have collaborated with top industry professionals with prior experience at leading financial institutions to ensure students are exposed to the latest AI applications in trading and quantitative finance. By learning from industry experts, students will advance their finance knowledge, build a strong portfolio of real-world projects and learn to generate trading signals using natural language processing, recurrent neural networks and random forests. Graduates will gain the quantitative skills currently in demand across multiple functions and roles at hedge funds, investment banks and fintech startups.

Sessions are subject to change. Day & Time: Wednesday, 11:00 AM – 11:45 AM, Grand Oaks A&B Presenter: Jim Breen, Doug Foster Need to get your team trained on InterSystems products quickly? Attend this session to learn how you can get your employees up to speed and add value to your company – fast! Hear how other InterSystems' clients have created successful teams using Learning Services content as one piece of the puzzle, and how you can too! Takeaway: InterSystems Learning Services can help me quickly onboard new employees and grow the skill sets of existing employees. Day & Time: Monday, 2:00 PM – 2:45 PM, Grand Oaks E&F Tuesday, 2:00 PM – 2:45 PM, Grand Oaks C&D Presenter: Andreas Dieckow This session provides an overview of what it takes to move an existing Caché or Ensemble application to InterSystems IRIS Data Platform. You will learn that migration is not urgent (unless you want to take advantage of new features in InterSystems IRIS) but that it is often less complex than you might expect.