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https://github.com/lugq1990/learning_materials

public materials for AI, Bigdata, Cloud etc.
https://github.com/lugq1990/learning_materials

Last synced: about 2 months ago
JSON representation

public materials for AI, Bigdata, Cloud etc.

Host: GitHub
URL: https://github.com/lugq1990/learning_materials
Owner: lugq1990
Created: 2022-01-18T02:15:16.000Z (almost 3 years ago)
Default Branch: main
Last Pushed: 2024-08-23T02:02:15.000Z (4 months ago)
Last Synced: 2024-08-24T02:58:53.325Z (4 months ago)
Language: Jupyter Notebook
Size: 26 MB
Stars: 0
Watchers: 3
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        ## Learning material

A repo that contains a list of files that contain materials are used to provide useful insights. 

Tabular_problem:

[deep_learning_for_tabular_data](https://github.com/lugq1990/learning_materials/tree/main/Tabular_problem/deep_learning_for_tabular_data.md)

pre_sale:

[pre_sale_starter](https://github.com/lugq1990/learning_materials/tree/main/pre_sale/pre_sale_starter.md)

Papers:

[NLP_papers](https://github.com/lugq1990/learning_materials/tree/main/Papers/NLP_papers.md)

[activation_papers](https://github.com/lugq1990/learning_materials/tree/main/Papers/activation_papers.md)

best_materials:

[好用的链接](https://github.com/lugq1990/learning_materials/tree/main/best_materials/好用的链接.md)

python/flask:

[flask](https://github.com/lugq1990/learning_materials/tree/main/python/flask/flask.md)

RPA:

[RPA](https://github.com/lugq1990/learning_materials/tree/main/RPA/RPA.md)

machine_learning:

[imbalanced_data](https://github.com/lugq1990/learning_materials/tree/main/machine_learning/imbalanced_data.md)

machine_learning/optimizer:

[gradient_descent](https://github.com/lugq1990/learning_materials/tree/main/machine_learning/optimizer/gradient_descent.md)

machine_learning/algorithms:

[ALS](https://github.com/lugq1990/learning_materials/tree/main/machine_learning/algorithms/ALS.md)

[xgboost](https://github.com/lugq1990/learning_materials/tree/main/machine_learning/algorithms/xgboost.md)

[gradient_boosting](https://github.com/lugq1990/learning_materials/tree/main/machine_learning/algorithms/gradient_boosting.md)

machine_learning/model_interpreter:

[model_interpreter](https://github.com/lugq1990/learning_materials/tree/main/machine_learning/model_interpreter/model_interpreter.md)

computer_science:

[architecture](https://github.com/lugq1990/learning_materials/tree/main/computer_science/architecture.md)

数据库:

[oracle](https://github.com/lugq1990/learning_materials/tree/main/数据库/oracle.md)

network:

[restful](https://github.com/lugq1990/learning_materials/tree/main/network/restful.md)

artificial_intelligence:

[semi-supervised learning](https://github.com/lugq1990/learning_materials/tree/main/artificial_intelligence/semi-supervised learning.md)

[人工智能平台](https://github.com/lugq1990/learning_materials/tree/main/artificial_intelligence/人工智能平台.md)

[知识图谱](https://github.com/lugq1990/learning_materials/tree/main/artificial_intelligence/知识图谱.md)

[推荐系统](https://github.com/lugq1990/learning_materials/tree/main/artificial_intelligence/推荐系统.md)

PPT_related:

[ppt_samples_web](https://github.com/lugq1990/learning_materials/tree/main/PPT_related/ppt_samples_web.md)

架构:

[架构图](https://github.com/lugq1990/learning_materials/tree/main/架构/架构图.md)

[BA](https://github.com/lugq1990/learning_materials/tree/main/架构/BA.md)

[TAGAF](https://github.com/lugq1990/learning_materials/tree/main/架构/TAGAF.md)

big_data:

[kafka](https://github.com/lugq1990/learning_materials/tree/main/big_data/kafka.md)

[数据湖](https://github.com/lugq1990/learning_materials/tree/main/big_data/数据湖.md)

[Iceberg](https://github.com/lugq1990/learning_materials/tree/main/big_data/Iceberg.md)

[spark](https://github.com/lugq1990/learning_materials/tree/main/big_data/spark.md)

[ES](https://github.com/lugq1990/learning_materials/tree/main/big_data/ES.md)

[区块链](https://github.com/lugq1990/learning_materials/tree/main/big_data/区块链.md)

[redis](https://github.com/lugq1990/learning_materials/tree/main/big_data/redis.md)

[数据迁移](https://github.com/lugq1990/learning_materials/tree/main/big_data/数据迁移.md)

[数据治理](https://github.com/lugq1990/learning_materials/tree/main/big_data/数据治理.md)

[服务架构](https://github.com/lugq1990/learning_materials/tree/main/big_data/服务架构.md)

[flink](https://github.com/lugq1990/learning_materials/tree/main/big_data/flink.md)

[数据库](https://github.com/lugq1990/learning_materials/tree/main/big_data/数据库.md)

[CDH](https://github.com/lugq1990/learning_materials/tree/main/big_data/CDH.md)

[数据中台](https://github.com/lugq1990/learning_materials/tree/main/big_data/数据中台.md)

[数字孪生](https://github.com/lugq1990/learning_materials/tree/main/big_data/数字孪生.md)

deep_learning:

[NLP](https://github.com/lugq1990/learning_materials/tree/main/deep_learning/NLP.md)

[knowledge_dislillation](https://github.com/lugq1990/learning_materials/tree/main/deep_learning/knowledge_dislillation.md)

[BERT](https://github.com/lugq1990/learning_materials/tree/main/deep_learning/BERT.md)

cloud_computing:

[ERP_system_in_cloud](https://github.com/lugq1990/learning_materials/tree/main/cloud_computing/ERP_system_in_cloud.md)

[cloud](https://github.com/lugq1990/learning_materials/tree/main/cloud_computing/cloud.md)

[microservice](https://github.com/lugq1990/learning_materials/tree/main/cloud_computing/microservice.md)

[cloud_compare](https://github.com/lugq1990/learning_materials/tree/main/cloud_computing/cloud_compare.md)

micro_service:

[web_service](https://github.com/lugq1990/learning_materials/tree/main/micro_service/web_service.md)

frameworks:

[dask](https://github.com/lugq1990/learning_materials/tree/main/frameworks/dask.md)

[pytorch](https://github.com/lugq1990/learning_materials/tree/main/frameworks/pytorch.md)

[pyspark](https://github.com/lugq1990/learning_materials/tree/main/frameworks/pyspark.md)

[light_gbm](https://github.com/lugq1990/learning_materials/tree/main/frameworks/light_gbm.md)

[tensorflow](https://github.com/lugq1990/learning_materials/tree/main/frameworks/tensorflow.md)

git:

[git_related](https://github.com/lugq1990/learning_materials/tree/main/git/git_related.md)

project_related/HR:

[staff_attrition](https://github.com/lugq1990/learning_materials/tree/main/project_related/HR/staff_attrition.md)