从大公司的博客里学最新机器学习

总结过百家优秀公司的技术博客，
https://www.1point3acres.com/bbs/thread-891593-1-1.html

其中机器学习领域从中搜集一下，供大家学习

### Guideline

- [Google - Guidelines for developing high-quality ML solutions](https://cloud.google.com/archite ... -ml-solutions?hl=en)
- [Google - Best practices for performance and cost optimization for machine learning](https://cloud.google.com/archite ... formance-cost?hl=en)
- [Google - Minimizing real-time prediction serving latency in machine learning](https://cloud.google.com/archite ... hine-learning?hl=en)
- [Google - Data preprocessing for machine learning: options and recommendations](https://cloud.google.com/archite ... transform-pt1?hl=en)

### AD

- [Google - Building advertising platforms (overview)](https://cloud.google.com/archite ... ing-platforms?hl=en)

### Matching & Recommendation

- [Google - Architecture of a machine learning system for near real-time item matching ](https://cloud.google.com/archite ... item-matching?hl=en)
- [Google - Analyzing text semantic similarity using TensorFlow Hub and Dataflow](https://cloud.google.com/archite ... loud-dataflow?hl=en)
- [Google - Building a real-time embeddings similarity matching system](https://cloud.google.com/archite ... tching-system?hl=en)
- [Google - Using machine learning on Compute Engine to make product recommendations](https://cloud.google.com/archite ... ompute-engine?hl=en)
- [Meta - DLRM: An advanced, open source deep learning recommendation model](https://ai.facebook.com/blog/dlr ... commendation-model/)
- [Meta - Aroma: Using machine learning for code recommendation](https://engineering.fb.com/2019/04/12/developer-tools/aroma/)
- [Meta - Made in NY: The engineering behind social recommendations](https://engineering.fb.com/2016/ ... al-recommendations/)
- [Meta - Recommending items to more than a billion people](https://engineering.fb.com/2015/ ... n-a-billion-people/)

### Ranking

- [Meta - How machine learning powers Facebook’s News Feed ranking algorithm](https://engineering.fb.com/2021/ ... /news-feed-ranking/)
- [Airbnb - Using Sentiment Score to Assess Customer Service Quality](https://medium.com/airbnb-engine ... uality-43434dbe199b)
- [Airbnb - Improving Deep Learning for Ranking Stays at Airbnb](https://medium.com/airbnb-engine ... airbnb-959097638bde)
- [Airbnb - Machine Learning-Powered Search Ranking of Airbnb Experiences](https://medium.com/airbnb-engine ... iences-110b4b1a0789)
- [Airbnb - Learning Market Dynamics for Optimal Pricing](https://medium.com/airbnb-engine ... ricing-97cffbcc53e3)

### Category

- [Airbnb - Categorizing Listing Photos at Airbnb](https://medium.com/airbnb-engine ... airbnb-f9483f3ab7e3)
- [Airbnb - Discovering and Classifying In-app Message Intent at Airbnb](https://medium.com/airbnb-engine ... airbnb-6a55f5400a0c)
- [Airbnb - Using Machine Learning to Predict Value of Homes On Airbnb](https://medium.com/airbnb-engine ... airbnb-9272d3d4739d)

### Mapping & GEO

- [Google - Geospatial analytics architecture](https://cloud.google.com/archite ... -architecture?hl=en)
- [Meta - MaRS: How Facebook keeps maps current and accurate](https://engineering.fb.com/2019/09/30/ml-applications/mars/)
- [Meta - Mapping roads through deep learning and weakly supervised training](https://ai.facebook.com/blog/map ... upervised-training/)

### OCR & Converter & Recognizing

- [Google - An architecture for production-ready live audio transcription using Speech-to-Text](https://cloud.google.com/archite ... peech-to-text?hl=en)
- [Google - Implementing production-ready live audio transcription using Speech-to-Text (Tutorial)](https://cloud.google.com/archite ... tion-tutorial?hl=en)
- [Google - Categorizing audio content using machine learning ](https://cloud.google.com/archite ... iles-using-ml?hl=en)
- [Dropbox - Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning](https://dropbox.tech/machine-lea ... n-and-deep-learning)
- [Dropbox - Fast and Accurate Document Detection for Scanning](https://dropbox.tech/machine-lea ... ection-for-scanning)
- [Apple - Recognizing People in Photos Through Private On-Device Machine Learning](https://machinelearning.apple.co ... izing-people-photos)
- [Apple - Finding Local Destinations with Siri’s Regionally Specific Language Models for Speech Recognition](https://machinelearning.apple.co ... fic-language-models)
- [Apple - An On-device Deep Neural Network for Face Detection](https://machinelearning.apple.com/research/face-detection)
- [Apple - Real-Time Recognition of Handwritten Chinese Characters Spanning a Large Inventory of 30,000 Characters](https://machinelearning.apple.com/research/handwriting)

### Search

- [Google - Build AI-powered customer conversations in Google Maps and Search with Google's Business Messages](https://developers.googleblog.co ... -conversations.html)
- [Dropbox - How image search works at Dropbox](https://dropbox.tech/machine-lea ... ch-works-at-dropbox)
- [Dropbox -  Validating performance and reliability of the new Dropbox search engine](https://dropbox.tech/machine-lea ... opbox-search-engine)
- [Dropbox -  Architecture of Nautilus, the new Dropbox search engine](https://dropbox.tech/machine-lea ... opbox-search-engine)
- [Meta - Under the hood: Photo Search](https://engineering.fb.com/2017/ ... -hood-photo-search/)
- [Meta - Faiss: A library for efficient similarity search](https://engineering.fb.com/2017/ ... -similarity-search/)

### Conversation
- [Airbnb - Intelligent Automation Platform: Empowering Conversational AI and Beyond at Airbnb](https://medium.com/airbnb-engine ... airbnb-869c44833ff2)
- [Airbnb - Task-Oriented Conversational AI in Airbnb Customer Support](https://medium.com/airbnb-engine ... upport-5ebf49169eaa)

### Payment

- [Google - Detecting anomalies in financial transactions by using AI Platform, Dataflow, and BigQuery (Tutorial)](https://cloud.google.com/archite ... -transactions?hl=en)
- [Google - Building an e-commerce recommendation system by using BigQuery ML (Tutorial)](https://cloud.google.com/archite ... th-bigqueryml?hl=en)
- [Dropbox - Optimizing payments with machine learning](https://dropbox.tech/machine-lea ... -machine-learningGo)

### User Prediction

- [Google - Predicting Customer Lifetime Value with AI Platform: introduction](https://cloud.google.com/archite ... raining-intro?hl=en)
- [Google - Predicting customer propensity to buy by using BigQuery ML and AI Platform](https://cloud.google.com/archite ... ensity-to-buy?hl=en)
- [Meta - Under the hood: Suicide prevention tools powered by AI](https://engineering.fb.com/2018/ ... ools-powered-by-ai/)
- [Amazon - AWS re:Invent 2020: Amazon.com’s use of AI/ML to enhance the customer experience (Video)](https://www.youtube.com/watch?v=jADP7RmqW2g)

### Self Driving

- [Waymo - AutoML: Automating the design of machine learning models for autonomous driving](https://blog.waymo.com/2019/07/a ... ign-of-machine.html)
- [Waymo - Using automated data augmentation to advance our Waymo Driver](https://blog.waymo.com/2020/04/u ... ugmentation-to.html)
- [Waymo - VectorNet: Predicting behavior to help the Waymo Driver make better decisions](https://blog.waymo.com/2020/05/vectornet.html)
- [Waymo - Learning to Drive: Beyond Pure Imitation](https://blog.waymo.com/2019/08/l ... e-imitation_26.html)
- [Waymo - How we’ve built the World’s Most Experienced Urban Driver](https://blog.waymo.com/2021/08/MostExperiencedUrbanDriver.html)


### Others

- [Google - Building a Mobile Gaming Analytics Platform - a Reference Architecture](https://cloud.google.com/archite ... sis-telemetry?hl=en)
- [Meta - Neural Code Search: ML-based code search using natural language queries](https://ai.facebook.com/blog/neu ... l-language-queries/)

Introduction to Distributed System Design

https://www.hpcs.cs.tsukuba.ac.j ... s/dsd-tutorial.html

其中点睛之笔是：分布式系统设计，是 design for failure。

diligan 发表于 2022-5-8 11:01
有没有大神指导一下怎么看，因为不可能所有东西都学会吖

我建议把Guideline google cloud的内容看看就很不错了

Chasedream.df 发表于 2022-5-8 18:05
我建议把Guideline google cloud的内容看看就很不错了

🙏感谢楼主回复，向楼主学习

赞楼主！本人也是看博客入坑ML的

谢谢分享！！！！！！！

感谢楼主分享，mark一下

资源分享，赞楼主！

感谢楼主分享，赞一个

多谢楼主总结！

有没有大神指导一下怎么看，因为不可能所有东西都学会吖