What is machine learning? At its core, machine learning is nothing more than a collection of algorithms that allow to you make predictions about something that is unknown based on data that are known.
Machine learning may sound like an overwhelmingly complicated concept rather than a data-driven method to extract insights that drive future business decisions.
You now often see “Machine Learning” appearing along with “Big Data”, “AI” or “Internet of Things” in the discussion of the digital transformation of business. Yet these terms or buzzwords are often misunderstood. This is creating a series of myths, which can misinform businesses’ decisions when pursuing a data-driven strategy.
This webinar will give clarity to data-driven professionals, about where Machine Learning fits in business reality.
Ming Dong,Technical Services Manager, Minitab Pty Ltd
Ming Dong is one of only a handful of practitioners across the Asia Pacific Region to be a certified trainer for Minitab’s flagship product, Minitab Statistical Software. The training certification process is the culmination of years of statistical training with real-life application of data analysis in the industry.
Ming’s formal qualifications include an undergraduate degree in Industrial Engineering Management, a Masters of Computer Science from the University of New South Wales, and a Masters of Applied Statistics from Macquarie University. Ming has a unique and profound understanding of the application of statistics in the business world.
In addition, Ming has broad business development experience, developed through his work in senior technical roles for large organisations such as Toshiba, OzEmail and National Computing Systems Singapore. As a university research officer at Macquarie University, he had several papers published in the field of Bioinformatics.
His extensive business development and industry experience are the reason why Ming has been engaged by some of the world’s largest mining, banking and medical devices companies, to provide consulting services in the application of data analysis.
Minitab helps people discover valuable insights in their data. In 1972, Minitab Statistical Software was created to more easily teach students statistics. The application performed the calculations, and allowed students to focus on learning the concepts and what they can reveal about the world. The software was rapidly adopted by other schools and revolutionised the way people teach and conduct data analysis. Today, Minitab continues to facilitate discovery and transformation. Thousands of businesses use Minitab Statistical Software, Companion, and Quality Trainer to uncover flaws in their processes and improve them. And educators in more than 4,000 colleges and universities use Minitab Statistical Software to teach their students the power of data analysis. Minitab is also widely known for providing the industry’s best customer service, including outstanding training and unlimited technical support. www.minitab.com
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