15 in-depth articles that developers can't miss when playing with machine learning

Abstract ： Machine learning platform PAI It is machine learning for developers and enterprises / Deep learning engineering platform , Provide including Data tagging 、 model building 、 model training 、 Model deployment 、 Reasoning optimization Inside AI Develop full link services . Developers can use PAI Quickly build training model , Such as building some 《 Object recognition 》、《 Verify voice noise reduction, etc 》 Interesting experimental model , It can also meet the needs of enterprises , Realize enterprise personalized recommendation , Xiaobian sorted out some based on PAI Training guide for model development of platform , For developers reference collection .

Understand the machine learning platform PAI：https://www.aliyun.com/product/bigdata/learn

PAI-DSW Getting started & practice

PAI-DSW It is a cloud deep learning and development environment tailored for algorithm developers , Integrate JupyterLab, Plug-in deep customization development , No operation and maintenance configuration is required , Immersive experience Notebook To write 、 Commissioning and operation Python Code . Support the installation of open source framework , And provide Alibaba in-depth optimization of Tensorflow frame , Improve training performance through compilation optimization .
1. Alibaba cloud machine learning PAI-DSW Getting started

2. Newbie on the road ：PAI-DSW Lab creation strategy | 《 Alibaba cloud machine learning PAI-DSW Getting started 》

3. Big data fortune telling series uses machine learning to evaluate your blind date combat effectiveness | 《 Alibaba cloud machine learning PAI-DSW Getting started 》

4. Half an hour to verify voice noise reduction — Jia Yangqing invites you to experience express cloud development | 《 Alibaba cloud machine learning PAI-DSW Getting started 》

5. Train yourself in four steps CNN Handwriting recognition model | 《 Alibaba cloud machine learning PAI-DSW Getting started 》

6. How to train a hot dog recognition model by yourself | 《 Alibaba cloud machine learning PAI-DSW Getting started 》

Introduction to recommended scenarios

Recommendation system can be understood as the sum of recommendation algorithm and system engineering , Recommendation system = Recommendation algorithm + Systems engineering . About recommendation system , Many books and online materials focus more on how to do this algorithm , Including a lot of paper It's all about the latest recommendation algorithm . however , When developers really start to build this business system , Especially when doing it on the cloud , You will find that it is actually a systematic project . Even if you know what algorithms are needed for the recommendation business , You will still face many problems . For example, the problem of performance 、 The problem of data storage , wait . The following contains the basic theory 、 Algorithms and systems , For developers to learn .
1. Recommend the basic concept and architecture of the system

2. Open download ！ be based on PAI Personalized recommendation system development guide

3. be based on PAI 10 Minutes to build a simple recommendation system

4. be based on PAI-Studio Recommend recall scenarios -FM Embedding Implementation scheme

5. Recommendation system recall algorithm and architecture description

6. Recommended system sorting algorithm and architecture description

7. Online service arrangement and architecture description of the recommendation system

8. Learn the intelligent recommendation system from Alibaba cloud technology experts

Enterprise best practices

1. Best practices help ticket circle video realize intelligent video recommendation