How to move from quantitative finance to data science and machine learning. Some insights from my experience escaping the city !

Many predict, and warn, that the Artificial Intelligence (AI) Revolution will change the world – and possibly the very essence of mankind.  But society-changin…

The race to become the global leader in artificial intelligence has officially begun.

The Microsoft Research Outreach team has worked extensively with the external research community to enable adoption of cloud-based research infrastructure over the past few years. Through this process, we experienced the ubiquity of Jim Gray’s fourth paradigm…

In December 2017, researchers at Google and MIT published a provocative research paper about their efforts into “learned index structures”…

Edit: The popularity of this post has inspired me to write a machine learning test library. Go check it out!

Interpretability techniques are normally studied in isolation. We explore the powerful interfaces that arise when you combine them -- and the rich structure of this combinatorial space.

The time is ripe for practical transfer learning to make inroads into NLP.

The real world is full of uncertainty, but it can be tough to communicate that uncertainty. This is especially true for data visualization…

I’ve spent the last few months experimenting with Google Data Studio. I’m absolutely stunned by the results.

Hire the best by avoiding the four biggest mistakes companies make when hiring data talent.

Official Kaggle Blog ft. interviews from top data science competitors and more!

Photo by Lisha Li Andrej Karpathy showed this slide as part of his talk at Train AI and I loved it! It captures the difference between deep learning research and production perfectly. Academic pape…

Natural language processing (NLP) is getting very popular today, which became especially noticeable in the background of the deep learning development. NLP is…

When combined, virtual reality and machine learning can be used in tandem to improve the sophistication of tech products and tools.

Introduction I read a lot of deep learning papers, typically a few/week. I've read probably several thousands of papers. My general problem with papers in machine learning or deep learning is that often they sit

At ArchSaber, we rely heavily on Apache Flink, to process hundreds of millions of data points streaming to us every day. These data points…

If you think Big Data only relates to business intelligence or online analytics, you really need to read this article.  

In this post, I'll discuss an overview of deep learning techniques for object detection using convolutional neural networks. Object detection is useful for understanding what's in an image, describing both what is in an image and where those objects are found.

ETL stands for Extract, Transform, Load. It has been a traditional way to manage analytics pipelines for decades. With the advent of modern…