Written by Alexander Raginsky The goal of this post is to introduce you to machine learning – and specifically Amazon Machine Learning – and help you understand how the cloud can greatly simplify the implementation of a complex machine learning algorithm. What is Machine Learning? We humans learn a lot from everything going on around us. Over time, these
Written by Alexander Raginsky If you’re fortunate enough to have a quantitative PhD, you may have thought about applying for an opening in data science. After all, it’s an exciting and well paid field and a lot of fun too. Drew Harry recently wrote on this topic. As a PhD himself he should know. Here are a few of
Written by Alexander Raginsky Google has acquired around 184 companies as of October 2015, with its largest acquisition being the purchase of Motorola Mobility, a mobile device manufacturing company, for $12.5 billion. Not all the acquisition figures are available but aggregating all the public known amounts, Google has spent atleast 28 billion USD on acquisitions. With the recent re-structuring,
Written by Alexander Raginsky In early 2015, Google released a significant upgrade of its Translate application. No longer content to offer translations of written text, the upgraded app now includes a visual translator and an audio translation function. Machine translation, particularly in the English – Spanish and Spanish – English language pairs, is often utilized by business owners in
Written by Alexander Raginsky Surgical Imaging and Vision is a growing area of research and an integral part of every endeavour in Robotic Surgery. To familiarise researchers with the cutting edge research of this rapidly expanding field, the Hamlyn Centre for Robotic Surgery, Imperial College London, is organising a dedicated Winter School. The Winter School focuses on both technical
Written by Alexander Raginsky The NIH Big Data to Knowledge initiative has partnered with Wellcome Trust, with additional support from the Howard Hughes Medical Institute, to launch a global science competition for new products or services to advance “open science”, a movement to make scientific research data broadly accessible to the public. More information about the Open Science Prize
Written by Alexander Raginsky While there is no “magic bullet” to make stats and data analysis easy to understand and helpful in our research, there are some things that you can do to avoid pitfalls and help things run smoothly. This top ten list offers a few of those things that I think you will find helpful! 10.Look At
Written by Alexander Raginsky The German Society for Computational Linguistics (GSCL) is to award a prize for an excellent doctoral thesis in the field of language technology / computational linguistics once every two years. The thesis must have been submitted in one of the disciplines or its subdisciplines. Candidates should have defended their work (viva voce), but not earlier
Written by Alexander Raginsky On August 1, 2007 as people were driving home from work on the I-35W Mississippi River Bridge near Minneapolis, it all of a sudden collapsed. Thirteen people died and 145 people were injured. The bridge was constructed in 1967 and was expected to carry 66.000 vehicles per day. However, in 2004 an estimated 141.000 vehicles
Written by Alexander Raginsky Writing today’s article was a fascinating experience for me and would also be for the readers of this blog. What’s so different? Two things: firstly the article is about something I always wanted to do since I was a 5-year old; secondly this topic / tools / algorithm are new to me as well. I
