Learn and practice AI
With the rise of Alexa, Google Home, Siri etc, one thing is certain that NLP powered assistants are going to become an important technology to developers. I will explain what exactly is NLP (Nature Language Processing), its technology and applications. by Aswathi Nambiar, 5 min read. Continue reading “NLP Explained”
There are many deep learning frameworks, Tensorflow, Keras, MXNet/Gluon, CNTK, Torch, Caffe, etc.. Our idea was to a create a Rosetta Stone of deep-learning frameworks – assuming you know one well, to help anyone leverage any framework. 5 min read. Continue reading “Comparing Deep Learning Frameworks: A Rosetta Stone Approach”
what is kNN? how it works, and what’s its important applications. by Devin Soni. 5 min read.
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”