Written by Alexander Raginsky Amazon.com is boosting its artificial-intelligence chops. The world’s largest retailer by market capitalization is rolling out its sophisticated big-data-crunching platform for developers in Europe, and is also hiring scientists for its research teams in New York and Berlin who specialize in getting machines to do things like make sales predictions and predict fraud. Machine learning
Written by Alexander Raginsky I signed up on Glassdoor to check salaries posted by data scientists, in various companies. Of course these numbers are subject to fraud (companies posting low salaries to drive salaries down, data scientists posting high salaries to drive salaries up), but so are most salary surveys. Even tax returns don’t tell the true story. I
Written by Alexander Raginsky Markov chain is a simple concept which can explain most complicated real time processes.Speech recognition, Text identifiers, Path recognition and many other Artificial intelligence tools use this simple principle called Markov chain in some form. In this article we will illustrate how easy it is to understand this concept.Introduction to Markov chain simplified Markov chain
Written by Alexander Raginsky Friends, I will attempt to introduce this unique concept, its advantages, unique features, actual case studies through a series of posts. Here is the first of the series: Digital Experience of an user (DX) on a web site or a mobile app or a social media site is very subjective and is attempts are being
Written by Alexander Raginsky The European Association for Machine Translation (EAMT, http://www.eamt.org) is an organization that serves the growing community of people interested in MT and translation tools, including users, developers, and researchers of this increasingly viable technology. The EAMT invites entries for its fifth EAMT Best Thesis Award for a PhD or equivalent thesis on a topic related
Written by Alexander Raginsky Machine learning deals with hundreds of algorithms that have various modifications. When selecting an appropriate class of algorithms and an algorithm within the class, you should closely consider your problem, define what you should measure or predict and which tools you are going to use for this purpose. A possible set of the best machine-learning
Written by Alexander Raginsky Enterprise software company Workday is launching a venture fund aimed at early to growth stage startups that are leveraging machine learning and data science to solve enterprise-level problems. In conjunction with this announcement, Workday is also naming the first four startups it has invested in. Run by Adeyemi “Ade” Ajao, the company’s vice president for
Written by Alexander Raginsky Here’s a quick task: Take a look at the sentences below and decide which is the most effective. (1) “John threw out the old trash sitting in the kitchen.” (2) “John threw the old trash sitting in the kitchen out.” Either sentence is grammatically acceptable, but you probably found the first one to be more
Written by Alexander Raginsky Big data is now a buzzword. Many developers work hard to improve the processing of large amounts of data and many data scientists work on data analysis problems. Nevertheless not all is well in this field. Big data cause big problems: Insufficient data integration. Data are stored in large warehouses and different groups of specialists
Written by Alexander Raginsky Presentation The quantitative analysis of textual data is an object of research in many sectors of linguistics, computer sciences, mathematics and statistics and it is used as a research tool within a number of disciplines such as psychology, sociology, sociolinguistics, education, history, political studies, communication and media studies. The recent evolution of information technologies (IT)
