Formulating the Null and the alternate hypothesis for normality test; Choice of null hypothesis based on absence of action and the vice versa for alternate hypothesis; checking for normality in Minitab; interpreting the Q–Q plot; Comparing the computed'p' value with α (alpha) for taking the decision on whether or not to take the action; Step to performing the 1 sample Z test, selection of appropriate hypothesis in minitab.

This course is about learning Business Intelligence & Analytical tool called Tableau, which has been in leaders position since 4 years Business Intelligence, Analytics, Data Visualisation, Tableau desktop, Tableau server, Tableau & Hadoop, Tableau & R, are the common terminologies used to find this course We have included course content in form of powerpoint presentation, datasets used for visualisation, 2 live case study projects for download, interview questions, sample resumes/profiles for job seekers This course is extremely exhaustive & hence will last for more than 25 hours Course is structured to start with introduction to the tool & the principles behind data visualisation. From there Tableau desktop is explained thoroughly including analytical concepts behind applicable visualisation. Finally course ends with explanation on Tableau server & the final 2 use cases as projects along with interview questions for job seekers Jobs are abundant for Tableau & salaries are very promising & highest in this domain. Also this course is very exhaustive which includes Statistics, Forecasting, Regression models, K-means Clustering, Text Mining, Hadoop & R required for Tableau. Also included are Tableau Desktop & Server concepts in one course.

Some people are afraid that heavily armed artificially intelligent robots might take over the world, enslaving humanity – or perhaps exterminating us. These people, including tech-industry billionaire Elon Musk and eminent physicist Stephen Hawking, say artificial intelligence technology needs to be regulated to manage the risks. But Microsoft founder Bill Gates and Facebook's Mark Zuckerberg disagree, saying the technology is not nearly advanced enough for those worries to be realistic. As someone who researches how AI works in robotic decision-making, drones and self-driving vehicles, I've seen how beneficial it can be. I've developed AI software that lets robots working in teams make individual decisions, as part of collective efforts to explore and solve problems. Researchers are already subject to existing rules, regulations and laws designed to protect public safety.

Here is a list of the best courses in Data Science and Machine Learning from Udemy. Get these and other Udemy courses for $12, 90-95% off original price. Udemy.com is an online marketplace for learning, their data science content is updated regularly by the instructors who created good courses (filled with actionable tools) and bite-size lessons that help you cover defined topics at your own pace. Ready to be thrown into the deep end and learn the real problems a data scientist faces on a daily basis? Data Science management consultant Kirill Eremenko teaches this intense, best-selling course to over 23K students and counting.

The co-founder of online education platform Coursera has made it his mission to build talent for AI through his new project, deeplearning.ai. Andrew is preparing courses on deep-learning--advanced AI inspired by the human brain's neural networks--that will be available on Coursera. In an interview with ET's J Vignesh, the former chief scientist at Baidu also spoke about how technology disruption can help countries like India leapfrog and take a lead in the new world. Edited excerpts: How are we progressing towards the concept of singularity, or general intelligence, from sector-specific artificial intelligence? That is hard to project.

A group of young kids is entranced -- all the more so because Sella is not actually there. Her likeness is being beamed in the form of an interactive and moving hologram, part of a first-of-its-kind exhibition debuting this weekend at the Illinois Holocaust Museum, which aims to preserve accounts of a fast-disappearing generation. "She has their undivided attention," said teacher Samantha O'Neill of Chicago's Northside Catholic Academy. "It really does look like she is sitting on the stage in front of you." The exhibit uses voice-recognition technology and machine learning to let visitors ask questions about survivors' World War II ordeals and hear answers that will grow more relevant as the technology learns.

Some people are afraid that heavily armed artificially intelligent robots might take over the world, enslaving humanity--or perhaps exterminating us. These people, including tech-industry billionaire Elon Musk and eminent physicist Stephen Hawking, say artificial intelligence technology needs to be regulated to manage the risks. But Microsoft founder Bill Gates and Facebook's Mark Zuckerberg disagree, saying the technology is not nearly advanced enough for those worries to be realistic. As someone who researches how AI works in robotic decision-making, drones and self-driving vehicles, I've seen how beneficial it can be. I've developed AI software that lets robots working in teams make individual decisions as part of collective efforts to explore and solve problems.

Since its founding by Elon Musk and others nearly two years ago, nonprofit research lab OpenAI has published dozens of research papers. One posted online Thursday is different: Its lead author is still in high school. The wunderkind is Kevin Frans, a senior currently working on his college applications. He trained his first neural net--the kind of system that tech giants use to recognize your voice or face--two years ago, at the age of 15. Inspired by reports of software mastering Atari games and the board game Go, he has since been reading research papers and building pieces of what they described.

How is artificial intelligence changing the world? Will it replace half your employees? Earlier this year at the MIT Sloan CIO Symposium, automation experts Andrew McAfee and Erik Brynjolfsson, co-authors of "The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies," declared that if anything, we have "underestimated" automation's likely effects on the workforce. An explosion of data is fueling rapid advances in machine learning, Brynjolfsson notes. As a result, jobs involving pattern matching, such as pathologists, may experience severe disruption, he says.