Why business school must focus on data science and machine learning

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We keep hearing this from all quarters: 'The world is changing rapidly'. While it's a fact, we need to understand better what these changes are, how they can affect industry, and how management education needs to prepare students for these changes. Let us look at two prominent emerging areas that are both disrupting as well as enabling businesses: data science and machine learning. It's is a vast field that transcends businesses, mathematics, statistics and computer science. This truly multidisciplinary field extracts knowledge and insights from data in various forms with the use of scientific methods, algorithms, processes and computer systems; further, it is used for business objectives.


Mining of Massive Datasets

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Big-data is transforming the world. Here you will learn data mining and machine learning techniques to process large datasets and extract valuable knowledge from them. The book is based on Stanford Computer Science course CS246: Mining Massive Datasets (and CS345A: Data Mining). The book, like the course, is designed at the undergraduate computer science level with no formal prerequisites. To support deeper explorations, most of the chapters are supplemented with further reading references.


Machine passes EM gaokao /EM math test - China - Chinadaily.com.cn

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A smart machine made by a company in Chengdu, Sichuan province, took the math test of the national college entrance examination, or gaokao, on Wednesday. AI-MATHS finished the paper version of the test for liberal arts students in Beijing with a score of 105. A full score was 150. "The score is satisfactory," said Lin Hui, CEO of Zhunxingyunxue Technology of Chengdu, which developed the machine. AI-MATHS is an artificial intelligence program developed in 2014, based on cutting-edge big data technology, artificial intelligence and natural language recognition from Tsinghua University.


From machine learning to Python language skills: 6 tech skill sets that fetch maximum salary

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Technology is gradually taking over workplaces and that is one of the reasons why'human workers' are becoming redundant. As a result of which, time and again we see reports about companies laying off employees. While imagining the repercussions of having automation in other industries is palpable, what does it mean for the technology industry? Adoption of newer technologies is believed to be one of the key reasons for the job cuts and if tech workers are not trained in advanced skills, the future for human workforce appears all the bleaker. India would lose about 69,000 jobs until 2021 due to the adoption of IoT technology, according to a research conducted by a consulting firm.


Data Science for High School Computer Science Workshop: Identifying Needs, Gaps, and Resources – Northeast Big Data Innovation Hub

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The Data Science for High School Computer Science Workshop will be held at the Bloomberg Center at Cornell Tech from January 16-17, 2020. Click here to view the calendar information for this event. This workshop is by invitation only. For more information, please email Catherine Cramer and Stephen Uzzo at ds4all@columbia.edu. For questions about travel logistics, please contact Laycca Umer.