Machine learning, a branch of artificial intelligence, concerns the construction and study of systems that can learn from data.For example, a machine learning system could be trained on email messages to learn to distinguish between spam and non-spam messages. After learning, it can then be used to classify new email messages into spam and non-spam folders.The core of machine learning deals with representation and generalization. Representation of data instances and functions evaluated on these instances are part of all machine learning systems.
Posts about Machine-Learning
    • The natural evolution of digital for brands: becoming more human

      It used to be that digital interactions portrayed in the Jetsons, on Star Trek and through KITT on Knight Rider were make-believe preserved for the television and big screen. However, with the rise of digital personal assistants in recent years like Cortana and Siri, and intelligent bots, what was once science fiction is quickly becoming fact.

      Search Engine Watch- 8 readers -
    • “Can machines think?” What humans need to learn about artificial intelligence

      One of people’s biggest fears about artificial intelligence is that machines will rise up and humanity will be obsolete, that we will give ‘them’ too much power and control, and they will take over through either benevolence or malevolence. The root of many of these science fiction horror stories is the ability for the machines to think for themselves and come to a reasoned logical conclusion.

      Search Engine Watch- 5 readers -
  • How does RankBrain work and what does it mean for search marketers?

    … from the very beginning. What is RankBrain? RankBrain is a machine-learning system developed by Google to help improve search results and to interpret brand new queries that haven’t been previously searched for. Some experts consider it to be part of the Hummingbird search algorithm, which was launched to help Google better understand the meaning…

    Search Engine Watchin How To's- 6 readers -
  • How content marketers and SEO experts can optimize for RankBrain

    … Around October 2015, Google announced it would be using artificial intelligence to help deliver its search results. This machine-learning AI system is called RankBrain. Since RankBrain uses machine-learning AI, it learns by itself, consuming web pages and search queries by the second with the intent of delivering the best and most relevant…

    Search Engine Watch- 9 readers -
  • Understanding intent through voice search

    … It’s search Jim, but not as we know it. The dream of an ultimate personal assistant isn’t a farfetched sci-fi fantasy like the interactive computing systems in Star Trek. It’s technology available today already being applied to search engines. Leading visionaries in search technology, including Google’s Beshad Behzadi in his keynote speech…

    Search Engine Watch- 7 readers -
  • Can artificial intelligence save social?

    … on this, because it’s going to be increasingly important in the next year), but until platforms themselves start integrating this technology efficiently then we’re going to have a rocky ride. I certainly don’t pretend to have all the answers (or even all of the questions), but it feels to me that if we can capture and connect community content using deep learning machines, then social will have a real future, rather than becoming a digital echo of older broadcast models. …

    Matt Owen/ Search Engine Watchin Social- 12 readers -
  • For AKQA, creative display is essential to brand campaigns

    …, componentized with machine-learning data decisioning pushing this all along. Google has a lot of interest in this. They’re already auto-translating Flash into HTML for mobile. How close to you think the industry is to seeing your wish come true? There are only a few vendors trying to solve these things. We see companies like Celtra and Google…

    Digiday- 15 readers -
  • Vladimir Vapnik Joins Facebook AI Research

    … that Vladimir Vapnik has joined Facebook AI Research. Vladimir is universally known in the machine-learning and statistics communities as the father of statistical learning theory and the co-inventor of the Support Vector Machine method. One of the key concepts of learning theory bears his name: the Vapnik-Chervonenkis Dimension, which measures…

    David Cohen/ AllFacebookin Social- 5 readers -
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