内容简介:In 2020, with better alternatives available, using Google Analytics (GA) to track your web usage is nothing short of donating data to a multinational corporation. Aside from only letting you sample 25% of your traffic, GA is a free ticket for them to sell
In 2020, with better alternatives available, using Google Analytics (GA) to track your web usage is nothing short of donating data to a multinational corporation. Aside from only letting you sample 25% of your traffic, GA is a free ticket for them to sell your customers' data to their advertising partners.
Compared to AWS Pinpoint, which is even HIPAA compliant , GA works by asking you to add a tracker to your website that cross examines your customers' habits across all the websites they use to find out everything about them.
And if you think that's okay, you should take your head out of the sand because consumers are demanding it. Please tell me how many of your users like the large cookie agreement popups that they have to dismiss...I-I mean read and accept just to consume your content. Agreements that you're forced to have them agree to because you're using cookie-based trackers like GA.
Tracker blockers are increasing in popularity so consumers can protect themselves against this tracking, reducing the effectiveness of your analytics.
Even if you want to be selling your customers' data, data is the new oil and GA is Deepwater Horizon. As in raking it in, but also about to catch fire and sink. Tools like Pinpoint on the other hand keep the data in your closed system and even allows you to attach more extensive analytics like Kinesis. To train machine learning models on data you've collected would require you to create pipelines between data centres. It's a single click:
Currently, AWS Pinpoint requires you to import Amplify to your project. If you're looking for a tracking-tag solution like for Google Analytics, it's now that simple:
<script data-id-pool="us-east-1:abcd1234-abcd-1234-5678-abcd12345678" data-pinpoint-id="1234abcd5678abcd7890abcd1234" id="aws-web-analytics" src="https://goatandsheep.github.io/aws-web-analytics/dist/aws-web-analytics.js" type="text/javascript" ></script>
This is thanks to an analytics package I built that uses Amplify to connect to AWS Pinpoint. If you're interested in contributing, please visit the project repo .
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推荐系统与深度学习
黄昕、赵伟、王本友、吕慧伟、杨敏 / 清华大学出版社 / 2019-1-1 / 65.00元
本书的内容设置由浅入深,从传统的推荐算法过渡到近年兴起的深度学习技术。不管是初学者,还是有一定经验的从业人员,相信都能从本书的不同章节中有所收获。 区别于其他推荐算法书籍,本书引入了已被实践证明效果较好的深度学习推荐技术,包括Word2Vec、Wide & Deep、DeepFM、GAN 等技术应用,并给出了相关的实践代码;除了在算法层面讲解推荐系统的实现,还从工程层面详细阐述推荐系统如何搭建.一起来看看 《推荐系统与深度学习》 这本书的介绍吧!