Written by Alexander Raginsky New publication Big scale data analysis has been around for years, but only recently it started to be recognized in industry as a valuable mechanism to foster a bunch of business processes. In this publication we tried to collect some of numerous open resources accessible by everybody working in the field of data mining. You
Written by Alexander Raginsky New publication Ideal candidate for a position in academia has quite a different profile from some who is considered the ideal match in industry. In our new publication we are trying to understand what this difference is and which skills should a candidate possess for success in academia. You can find the publication at https://nlppeople.com/index.php/publications/articles/161-careers-beyond-industry-options-in-academia
Written by Alexander Raginsky We have two news to share with you: 1. As you probably know, on October 2 we introduced automatic posting of jobs scrambled from job aggregators on top of our regular flow. In 40 days the number of jobs have reached 220 that makes up 44 % of all the jobs published in this period.
Written by Alexander Raginsky A light-weight review of the Andrew Ng’s course at Coursera is available in our Journal. Enjoy the reading and don’t hesitate to initiate discussion. The publication is available at https://nlppeople.com/index.php/publications/articles/170-review-of-the-andrew-ng-s-machine-learning-course
Written by Alexander Raginsky New publication: the Problem with the AI Spring: where the hiring is coming from? Nick Gallimore, a professional IT recruiter with many years of experience is sharing his thoughts on current trends in artificial intelligence job market in article called The problem with the AI spring: where the hiring is coming from? You can
Written by Alexander Raginsky Check our new search functionality Some of you might notice that the search functionality at NLP People has recently changed. We update the search engine to the faster and more reliable Apache engine. Give it a try! I is worth it!
Written by Alexander Raginsky Interview with Arianna Bisazza is online Check what one of the most promising young researchers working in the machine translation field tells about her career path and what she thinks about the future of MT and NLP in general. The interview can be found at this link.
Written by Alexander Raginsky New publication Harvard School of Engineering and Applied Science run an online course in data science in machine learning. You can find a review of the course at https://nlppeople.com/index.php/publications/articles/186-cs109-data-science-review-of-harvard-course Enjoy your reading!
Written by Alexander Raginsky NLP People is redesigned Two days ago we released the updated version of NLP People. Now the NLP People portal is search-centered, it allows for improved search functionality and provides easier access to our resources. Please send us your feedback to info@nlppeople.com, if you have any. And enjoy the new look of NLPPeople.com!
Written by Alexander Raginsky Interview with a fresh data mining graduate is online Now you can read what a fresh data mining graduate (Victoria Denisova) told about her studies, her career path and what she thinks about threads that your professionals can face. The interview can be found at this link.
