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Machine Learning


What machine learning isn’t

The biggest challenge to AI adoption is expectation. Going about integrating machine learning with the right set of expectations will lead to a much more successful outcome than being misled about what AI can do for you.


不負責任之 RL 介紹 2:獎勵

上一篇我們稍微介紹了 RL 的基本概念,也舉了幾個題目讓大家思考看看 RL 的 state、action、reward 怎麼定義的,到目前為止相信大家都還是不知道該怎麼做,如果有人看過上一篇就知道怎麼做的,快聯絡我,我…我…我請你喝養樂多。


[MLCC]-Machine Learning Crash Course-開始之前

最近Google開啟了Learn with Google AI,其中一門Machine Learning Crash Course(機器學習速成課程)有中文可以看,已經沒藉口了,藉由發文希望可以強迫我學習並記錄

課程網址:https://developers.google.com/machine-learning/crash-course/


Tensor & Flow: Part 1, TensorFlow & Machine Learning on Android

Many popular apps on both Android and iOS make extensive use of on-device machine learning. Apps like Inbox by Gmail or Siri make use of on device machine learning because it’s faster and does a better job of protecting…


Learning Artificial Intelligence with Udacity

By- Vatsal Srivastava

Recently I wrote about my experience with the Udacity’s Self Driving Car Nanodegree (SDCND).

While pursuing this Nanodegree, I was so thrilled by the course material, that I…


This [ ] should never have happened

“This video should never have appeared in Trending,” said a YouTube spokesperson. [ From Adweek]

Machine Learning. While is practical to implement more and more automation on several tasks, we should think about how much of it actually is…


Race Against the Machine

For the past several years, two MIT big thinkers[1] have been the go-to authorities in the scramble to explain how robotics, artificial intelligence, and big data are revolutionizing the economy and the working world. Their two books were published four and six years ago — so