Categories Data Science

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Using AI to Improve Our Cities and Lives

“Anything that could give rise to smarter-than-human intelligence — in the form of artificial intelligence, brain-computer interfaces, or neuroscience-based human intelligence enhancement — wins hands down beyond contest as doing the most to change the world. Nothing else is even in the same league.” — Eliezer Yudkowsky, artificial intelligence theorist. Once relegated to science fiction, artificial […]

Reinforcement Learning Part 0

You can find me on Twitter @bhutanisanyam1, connect with me on Linkedin here The series will be in the form of a deep dive into the code with explanations and walkthroughs along side. Next up will be a series of Posts that will take you through a few concepts in the most […]

Exploring Sentiment Analysis

Photo credit : Pixabay Understanding Text mining – Part 2 Introduction This article is part 2 of Understanding Text Mining.If you just landed here, Part 1 is available here. One of the applications of text mining is sentiment analysis.In order for us to go ahead and carry out a sentiment analysis of our […]

Self Driven Data Science — Issue #32

Self Driven Data Science — Issue #32 Here’s this weeks lineup of data-driven articles, stories, and resources delivered faithfully to your inbox for you to consume. Enjoy! How Quora’s Head of Data Science Conducts Candidate Interviews Eric Mayefsky, head of data science at Quora, has assessed hundreds of job candidates in his half decade […]

The New Hubert is Finally Here!

Since launching the beta version at the end of July, we received a lot of great feedback from our valued users. After careful consideration of every suggestion, we’ve broken down the points and mixed them with our own internal input. From that, we organized new functionality into a list of […]

3 Answers and a Question with Elena Grewal

This iteration of our interview series features a conversation with Elena Grewal, Head of Data Science at Airbnb, where she talks building a company-wide data culture and what to do before your new data science hires start. Airbnb is one of the most-often used examples of digital disruption. But beyond simply […]

8 Deep Learning Best Practices I Learned About in 2017

Something I was really happy about accomplishing in 2017 was getting more practically involved with modern AI. I’ve studied a lot of math, which has certainly been fun, but haven’t done any practical projects, and therefore have nothing to show for my efforts. To remedy this, in April, I applied […]

Bringing Forward Collision Warnings to our open source self-driving car

At we are building openpilot, open-source software that can drive your car. Right now support includes Toyotas with TSS-P, the Honda Civic and CR-V (with Honda Sensing) and Acura ILX. In this post, I will describe how we built the Forward Collision Warning (FCW) system in openpilot. (note: the […]

Applying transfer learning in NLP and CV

In this blog post I will discuss two applications of transfer learning. I will provide an overview of examples in the field of natural language processing and computer vision. This blog post is the second in a series on transfer learning. You can find the first blog post, which explains the […]