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Machine learning 101 (infographics)

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Some interesting info graphics on Machine Learning by   and , PwC US

For the connected consumer, machine learning is now a key enabler, from on-demand translation services, to weather forecasting, to guessing what users want based on where they are and what they’ve been doing. But only a third of companies IDC surveyed in 2017 said they had plans to use machine learning inside the enterprise. Lack of familiarity and a talent gap are some of the reasons enterprises have been reluctant to embrace this set of techniques.

As with any essential technology, companies can get started with a clearer sense of the fundamentals. What is machine learning, and how does it differ from traditional programming? How does it embrace and extend the realm of statistics? What are the most popular and advanced machine learning algorithms? How has machine learning evolved over decades, and where is it heading now?

We’ve assembled a series of visual primers to answer these questions and more:

Machine learning overview (info graphic): LINK

Machine learning methods (info graphic): LINK

Machine learning evolution (info graphic): LINK

Alan-M-Photo-041814 Alan is a senior research fellow at PwC’s Center for Technology and Innovation and an editor of the firm’s Technology Forecast quarterly. He was the principal researcher and author of Technology Forecast issues on big data, analytics, mobile, social and semantic technologies. His experience includes more than 20 years in various research, analyst, writing and editorial roles, including over a dozen years at PwC. Alan advises PwC’s clients on a variety of emerging technology and industry trends and their business impacts and has been a featured speaker at Enterprise Data World, the Semantic Technology & Business Conference and other enterprise IT events.

 

RaoAnandAnand Rao is a principal in PwC’s Advisory practice, is the Innovation Lead for the US firm’s Analytics Group and is the co-lead for the Global Project Blue, Future of Insurance research. With his PhD and research career in Artificial Intelligence and his subsequent experience in management consulting he brings business domain knowledge, statistical, and computational analytics to generate unique insights into the practice of ‘data science’.

Prior to joining management consulting, Anand was the Chief Research Scientist at the Australian Artificial Intelligence Institute. He has held Board positions at start-ups and currently serves as a Board member for not-for-profit industry associations. He is a frequent speaker on behavioral economics, analytics, and technology topics in academic and trade forums.

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