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Graduates of Southern California high school receive diploma cover with spelling error

FOX News

Graduates of a Southern California high school received a head-scratching surprise on their diploma covers Thursday. Students of the Ontario High School class of 2016 received their diploma covers with an egregious spelling error on the front. Photos on social media showed the cover was spelled as "Ontario High Shcool." A Chaffey Joint Union High School District official told KTLA Friday that a "printing error" was to blame for the typo that was on the covers. "The misspelling was a printing error made by the grad products company," Chaffey Joint Union High School District Superintendent Mathew Holton said in a statement to KTLA.


Multiple Regression Analysis with Python Udemy

@machinelearnbot

It explores main concepts from basic to expert level which can help you achieve better grades, develop your academic career, apply your knowledge at work or make business forecasting related decisions. Learning multiple regression analysis is indispensable for business analysis, financial analysis or data science applications in areas such as consumer analytics, finance, banking, health care, science, e-commerce and social media. It is also essential for academic careers in data science, applied statistics, economics, econometrics or quantitative finance. And it is necessary for any business forecasting related decision. But as learning curve can become steep as complexity grows, this course helps by leading you through step by step real world practical examples for greater effectiveness.


Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines

arXiv.org Machine Learning

Peer grading is the process of students reviewing each others' work, such as homework submissions, and has lately become a popular mechanism used in massive open online courses (MOOCs). Intrigued by this idea, we used it in a course on algorithms and data structures at the University of Hamburg. Throughout the whole semester, students repeatedly handed in submissions to exercises, which were then evaluated both by teaching assistants and by a peer grading mechanism, yielding a large dataset of teacher and peer grades. We applied different statistical and machine learning methods to aggregate the peer grades in order to come up with accurate final grades for the submissions (supervised and unsupervised, methods based on numeric scores and ordinal rankings). Surprisingly, none of them improves over the baseline of using the mean peer grade as the final grade. We discuss a number of possible explanations for these results and present a thorough analysis of the generated dataset.


The Future of AI in the Workplace (Why You Don't Need to Be Scared of Robots)

#artificialintelligence

The use of artificial intelligence (AI) is spreading like wildfire. Not because it's state-of-the-art technology, but because it comes with plenty of valuable benefits. Adopting AI goes far beyond following a trend that boosts your business for a while before a new trend comes along. AI is here to stay, and it's only going to become more advanced and beneficial. According to AI research by MIT Sloan Management Review, 85% of executives believe that AI can help them gain or sustain competitive advantage.


Forecasting Models with Python Udemy

@machinelearnbot

It explores main concepts from basic to expert level which can help you achieve better grades, develop your academic career, apply your knowledge at work or make business forecasting related decisions. Learning forecasting methods and models is indispensable for business or financial analysts in areas such as sales and financial forecasting, inventory optimization, demand and operations planning, and cash flow management. It is also essential for academic careers in data science, applied statistics, operations research, economics, econometrics and quantitative finance. And it is necessary for any business forecasting related decision. But as learning curve can become steep as complexity grows, this course helps by leading you through step by step real world practical examples for greater effectiveness.