Predictive Modelling in R Online Training R Certification Course Edureka

@machinelearnbot

This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. Models such as multiple linear regression, logistic regression, auto-regressive integrated moving average (ARIMA), decision trees, and neural networks are frequently used in solving predictive analytics problems.


Q&A in Machine Learning and Neural Networks for beginners

@machinelearnbot

Get your team access to Udemy's top 2,500 courses anytime, anywhere. However I tells you all about software you should install for machine learning & neural networks. Hope that serves you well. What is machine learning / ai? How to lean machine learning in practice?


The Drone Racing League Partners With Allianz With A Race In Nice

#artificialintelligence

The Drone Racing League partner with France's Group AB, and is kicking off this year's DRL World Championship season with a race at the Allianz Riveria Stadium in Nice, France. The drone racing has been raised from an underground hobbyist activity in parking lots across the country to an authentic eSport with celebrated events all over the world. The event will mark the first professional drone race in France. "We're incredibly excited to extend our partnership with Allianz, who has a proud history of supporting innovative sports and auto racing, and to expand the reach of pro-drone racing in collaboration with Groupe AB, the predominant racing media company in France," said Nicholas Horbaczweski, the founder of Drone Racing League. "I think that fans define what we are," concluded Horbaczewski.


AI, Blockchain, and Big Data: FinTech Trends in 2018

#artificialintelligence

The growth of AI, in particular, has the potential to revolutionize the financial services industry as it helps enhance security and data protection, improve customer centricity, and ease the regularity burden via RegTech. Blockchain also provides improved security from its distributed technology along with considerable cost savings. Big data, on the other hand, has helped provide better value for customers while helping financial firms make very astute actuarial decisions on a client's risk profile. So what can we expect to see over the next 12 months? Let's take a look at some FinTech trends in 2018 that you should pay attention to.


Twitter

#artificialintelligence

Artificial Intelligence has leaped from hype to reality, and there's still so much to understand and explore. Take a look at this interactive guide to all things in #AI, machine learning and deep learning by the McKinsey Analytics.


AI Can Now Predict Personality from Eye Movements - The New Stack

#artificialintelligence

There's a saying that the eyes are the window into the soul. While at first glance this seems like a piece of idiomatic frivolity, a new algorithm developed by an international team of researchers from Australia and Germany shows that there is some truth to this, showing that the movements of one's eyes and the size of one's pupils can predict certain aspects of personality. The findings, which were published in Frontiers in Human Neuroscience, suggest there is a link between the way we move our eyes and personality traits. For instance, people who are more curious in nature tend to move their eyes more, while more open-minded people will find themselves staring at abstract images for longer periods of time. "Personality traits characterize an individual's patterns of behavior, thinking, and feeling," wrote the researchers in their paper.



Failure Prediction for Autonomous Driving – Arxiv Vanity

#artificialintelligence

Failure prediction is more useful, the earlier it can be done, i.e. the more time can be given to the human driver to take over. By learning to predict g [t,t m], our model will alert the human driver if either the speed prediction and/or the steering angle prediction is going to fail at any of the time points in the time period [t,t m]. The learning goal is then changed to training a deep network model to make a prediction for driving actions for current time t and to make a prediction for the drivability score for the time period from t to a future time point t m. A different length can be used if the application needs. Please see Figure 2 for the illustrative flowchart of the training procedure and solution space of our driving model and the failure prediction model.


How artificial intelligence is shaping religion in the 21st century

#artificialintelligence

Technology and artificial intelligence (AI) are fashioning how people interact with everything from food to healthcare -- and so, too, for religion. From electronic scriptures to robot priests, different faiths have absorbed new ideas from the world of technology to enhance mainstream religious practices. Other apps automatically adjust fasting times during the month of Ramadan, depending on the location of a device. In fact, Muslims are one of the most plugged-in religious communities due to the high concentration of young people aged between 16 and 30 across the Middle East and Asia. A survey by the Pew Research Center in 2017 showed that poorer Muslim-majority countries boast a large amount of people with smartphones.


Twitter

#artificialintelligence

While some worry that #artificialintelligence (#AI) will someday lead to robots rampaging their way to world domination, AI-related #startups have not stopped attracting intense interest from talent and capital.