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Machine Learning May 6, 2016

Posted by Haochen Sun in 2016 Trends.
  1. Definition of the trend/technology

For the final post, I choose machine learning as my target thread to analysis. Machine learning, as defined by Wikipedia, is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. [1] It is most rapidly growing fields, lying at the intersection of computer science and statistics, and at the core of artificial intelligence and data science. [2] In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. [3]

  1. Scopes of the potential impact

The adoption of machine learning can be found in science, technology and commerce, even in our daily life, including home cleaner, gaming, education, and self-driving cars. Auto-vacuum-cleaner is most common and useful home cleaner that using machine learning you may not know. Based on report of research and market, “The analysts forecast the global robotic vacuum cleaner market to grow at a CAGR of 15.3% during the period 2016-2020.”[4] And in the U.S, “the analysts forecast the Residential Robotic Vacuum Cleaner market to grow at a CAGR of 6.43 percent and 4.45 percent in terms of revenue and unit shipment, respectively, over the period 2014-2019.”[5] When you browse through Spotify or Netflix or Amazon, machine learning is watching you. Judging by Amazon’s success, the recommendation system works. “The company reported a 29% sales increase to $12.83 billion during its second fiscal quarter, up from $9.9 billion during the same time last year.”[6]

  1. Evidence of the growth and current state of the technology/trend

According to a new market research report, Cognitive Computing Market (Natural Language Processing, Machine Learning, and Automated Reasoning) to grow from $2,510.4 Million in 2014 to $12,550.2 Million by 2019. This represents a Compound Annual Growth Rate (CAGR) of 38.0% from 2014 to 2019. [7] Based on explore on Google Trends, interest on machine learning increase rapidly since 2004 to 2016. And I attached the link below, you can see the trends over time by clicking the link. Based on market research and google trends, I believe the machine learning will be the buzzword in this 5 years. In the March, the news about machine learning is very hot. The news talks about the first computer program, Google AlphaGo, to ever beat a professional player at the game of go. A Google AlphaGo uses a combination of machine learning and tree search techniques, I think it is the best evidence to describe current of the machine learning technology.


  1. Summary statement about the importance and impact that includes recommendations/advice.

Machine learning landscape is likely to change over the coming years as it continues to both exert an influence on other fields and be influenced by others. In our daily life, the machine learning things are more and more common and useful in our life, like robotic vacuum, self-driving cars. And it also paly huge role in somewhere we don’t know, like content recommendation in Netflix and Amazon. For recommendations/advice, I think people should learning to accept and adopt these smart things. These high technology will make our life easier.



[1] https://en.wikipedia.org/wiki/Machine_learning

[2] http://science.sciencemag.org/content/sci/349/6245/255.full.pdf?TB_iframe=true

[3] https://www.coursera.org/learn/machine-learning/lecture/zYS8T/autonomous-driving

[4] http://www.researchandmarkets.com/research/37p8b5/global_robotic

[5] http://www.researchandmarkets.com/reports/3058664/residential-robotic-vacuum-cleaner-market-in-the#relb0

[6] http://fortune.com/2012/07/30/amazons-recommendation-secret/

[7] http://www.prnewswire.com/news-releases/cognitive-computing-market-worth-125502-million-by-2019-500919761.html




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