API 是一套用于构建软件程序的协议和工具。对于应用开发者而言,有了开放的 API,就可以直接调用其他公司做好的功能为我所用,这在很大程度上提升了工作效率。

This resource is designed primarily for beginner to intermediate data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest.

The following outline is provided as an overview of and topical guide to machine learning: Machine learning – subfield of computer science[1] (more particularly soft computing) that evolved from the study of pattern recognition and computational learning theory in artificial intelligence.[1] In 1959, Arthur Samuel defined machine learning as a "Field of study that gives computers the ability to learn without being explicitly programmed".[2]

AWS Marketplace is an online store for software vendors to sell their software product bundles  to AWS customers. The AWS Marketplace currently features over 2,500 commercial products and over 65,000 community Amazon Machine Instances (AMI).

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.