Written by Alexander Raginsky Machine learning techniques may have been used for years, but recently there has been an explosion in their applications. In fact, in a recent Q3 earnings call, Google CEO Sundar Pichai said “Machine learning is a core, transformative way by which we’re re-thinking how we’re doing everything.” And they’re far from the only business making
Written by Alexander Raginsky Who here remembers taking computer programming in school? Whether you learned programming by punching holes in a never ending series of cards, or by writing simple DOS or other computer language commands, the fact remained that computers needed an incredibly precise set of instructions to accomplish a task. The more complicated the task, the more
Written by Maxim 
Deep learning is currently taking the IT world by storm. Facebook, Bloomberg and Google are actively exploring deep learning techniques. Thousands of deep learning startups operating in various industries raise seed funding every day. If you like traveling, have the budget and want to find out more about deep learning technology, there are so many
Written by Alexander Raginsky Deep learning and neural networks are increasingly important concepts in computer science with great strides being made by large companies like Google and startups like DeepMind. By Nikhil Buduma (Musings of an MIT student). Deep learning. Neural networks. Backpropagation. Over the past year or two, I’ve heard these buzz words being tossed around a lot,
Written by Alexander Raginsky Natural language processing, or NLP, is the machine handling of written and spoken human communications. Methods draw on linguistics and statistics, coupled with machine learning, to model language in the service of automation. OK, that was a dry definition. Fact is, NLP is at, or near, the core of just about every information-intensive process out
Written by Alexander Raginsky What I love about working at Google is the opportunity to harness cutting-edge machine intelligence for users’ benefit. Two recent Research Blog posts talked about how we’ve used machine learning in the form of deep neural networks to improve voice search and YouTube thumbnails. Today we can share something even wilder — Smart Reply, a
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 Bhavya Geethika Today thousands of scientists and engineers are applying machine learning to an extraordinarily broad range of domains. Equip yourself with machine learning skills in an all new way by reading this free ebook, by John Winn and Christopher Bishop (with Thomas Diethe). machine-learning-model-method “I am overwhelmed by the choice of machine learning methods
Written by Alexander Raginsky Motivation On June 17, 2015, I celebrated my two year #Twitterversary @Twitter. Looking back, the Data Science (short for DS) landscape at Twitter has shifted quite a bit: Machine Learning has played an increasingly prominent role across many core Twitter products that were previously not ML driven (e.g. “While you are away”) Tool wise, we’ve
Written by Alexander Raginsky I would like to share my learning experience on Machine Learning for the past few months : It was end of last year, I decided to research upon Machine learning (ML) and have been taking few little steps. I need to understand what it’s all about ML and related hype factor that it has created
