How to solve 90% of NLP problems
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Artificial Intelligence Newsletter

1. How to solve 90% of NLP problems

Here's a clear step-by-step guide to extracting information from text data—complete with an interactive notebook.

+ Get started with natural language processing in Python (live online course on O'Reilly's learning platform, March 12)

2. Inside Amazon's AI flywheel

"The technology developed for Amazon's family of voice-activated devices, including the Echo Spot, spurred a larger AI renaissance at the company."

+ Alex Smola, who is featured in this article, will be speaking at Strata 2018 in San Jose, March 5–8

3. Autonomous driving cookbook

This tutorial shows you how to train a deep learning model to learn how to steer a car through the landscape map in AirSim using only one of the front-facing webcams as visual input.

4. Machine learning needs machine teaching

In this episode of the O'Reilly Data Show Podcast, Mark Hammond, founder and CEO of Bonsai, discusses applications of reinforcement learning to manufacturing and industrial automation.

5. The UX of AI

Josh Lovejoy explains how to use Google Clips to understand how a human-centered design process elevates artificial intelligence.

Want to speak at the AI Conference in San Francisco?

The AI Conference is coming to San Francisco Sept 4–7. Do you have AI experience to share? We're looking for practical business applications, compelling use cases, rock-solid technical skills, teardowns of successful AI projects and dissections of failures—and maybe one or two truly crazy ideas that just might change the world. The deadline is March 13.
Learn more

6. China and the US are bracing for an AI showdown—in the cloud

"Chinese and American tech giants are preparing for a showdown that may shape the future of artificial intelligence. China's cloud providers, Alibaba, Tencent, and Baidu, are getting ready to do battle with US giants Amazon, Google, and Microsoft to deliver AI online. As Chinese companies seek to expand their reach, they may increasingly aim their cloud services at US companies and developers, and vice versa."

+ Looking for something less "showdown" and more "fascinating gathering"? Check out the AI Conference in Beijing, which brings together AI experts from China, the US, and around the world.

7. All the matrix calculus you need for deep learning

You don't need any math knowledge beyond what you learned in Calculus 1 (and this paper) to understand the training of deep neural networks.

8. The case against understanding why AI makes decisions

"As deep learning algorithms begin to set our life insurance rates and predict when we'll die, many AI experts are calling for more accountability around why those algorithms make the decisions they do. After all, if a self-driving car kills someone, we'd want to know what happened. But not everyone is sold on opening the 'black box' of artificial intelligence."

9. Humans are a black box too.

Vijay Pande argues that AIs "black box" is nothing to fear.

10. Stephen Colbert's Cyborgasm: Home Edition

Stephen Colbert
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