If you’ve clicked on this post then you’re probably deciding on learning Machine Learning. If you haven’t already decided, or are still feeling confused, I want to tell you in advance it’s going to be daunting.

In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

我将结合自己的创业经验，告诉你们如何启动一个AI的创业项目

到目前为止，我收到最多的问题，就是怎样入门机器学习。为此，我制定了一个三个月的学习指南来帮助你们，更好地从入门级新手变成机器学习的精通者。同时，为了那些仅能利用闲余时间来学习的人——不管是工作党，还是学生党，我都会用视频进行讲解。如果你能全心全意投入学习，就可以事半功倍地达成效果。

The Situation: Artificial intelligence ("AI") technology is exploding across virtually all industries. Technology companies are innovating at warp speed, and even companies that do not principally identify as "technology companies" are becoming increasingly "high tech" in how they deliver goods and services. Innovation is outpacing the law—many aspects of AI legal protection are still open questions.

ARTIFICIAL INTELLIGENCE IS overhyped—there, we said it. It’s also incredibly important. Superintelligent algorithms aren’t about to take all the jobs or wipe out humanity. But software has gotten significantly smarter of late. It’s why you can talk to your friends as an animated poop on the iPhone X using Apple’s Animoji, or ask your smart speaker to order more paper towels.