Dr. Li will candidly answer questions on how to best prepare for the evolving data science field and share insights from her own career path that has spanned academia and leadership at Google Cloud AI. 5 min read Continue reading “Firechat with Dr. Fei-fei Li on AI Career Path”
This post is brought to you by one of our speakers, Francois Chollet (@fchollet), who best known as “creator of Keras”. and his thoughts on AI either to manipulate users or give control back to users. 10 min read. Continue reading “Speaker Post: What worries me about AI”
we describe some of the technical challenges we face for video streaming at Netflix and how statistical models and machine learning techniques can help overcome these challenges. by Chaitanya Ekanadham, 8 min read. Continue reading “Using Machine Learning to Improve Streaming Quality at Netflix”
In this article, I will continue to discuss two more advanced RL algorithms, both of which were just published last year. In the end, I am going to briefly make a comparison between each of the algorithm I have discussed. by Steve Huang. 10 min read. Continue reading “Reinforcement Learning Algorithms (TRPO, PPO) Explained – Part 2”
We believe attending the conference is just a part of learning and practice AI. learning list recommended by speakers. Continue reading “Challenge to Learn AI by AI NEXTCon”
This article aims to solve this problem by briefly discussing the RL setup, and providing an introduction for some of the well-known algorithms. by Steve Huang. 15 min read.
One-day Free event for developers of all skill level to learn create Actions for Google Assistant. The event features a blend of tech talks, code labs, discussions, demos and networking. Continue reading “Free Hands-on Workshop: Create Actions for Google Assistant – Seattle, Silicon Valley”
You are invited to join at AI NEXTCon on 4/10-13. It’s 4 days conference focusing on AI tech. 60+ deep dive tech talks (Jeff Dean, Jure Leskovec keynotes), one of largest AI tech event specially geared to tech engineers.
we focus on the personalization aspect of model building and explain the modeling principle as well as how to implement Photon-ML so that it can scale to hundreds of millions of users. by linkedin. 8 min read.
Neural networks are not just another classifier, they represent the beginning of a fundamental shift in how we write software. They are Software 2.0. by Andrej Karpathy. 5 min read.