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lwpigking's Projects

996.icu icon 996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

ai-learn icon ai-learn

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

ailearning icon ailearning

AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

aimto408 icon aimto408

🇨🇳🇨🇳🇨🇳这个repo是为了那些准备死磕 计算机考研 4️⃣0️⃣8️⃣的考研党准备的,当然你如果4门课中的部分也可以看看,欢迎star📝📝📝,祝你们一战成硕🏆🏆🏆~~(更新23年大纲变化----2023年408和数学基本无变化)

aipy icon aipy

Python机器学习、深度学习算法开发等学习资源分享

alldata icon alldata

🔥🔥 AllData通过汇聚大数据与AI领域生态组件,提供细分领域数字化解决方案:大数据生态方案,人工智能生态方案,大数据组件运维方案,大数据开发治理方案,机器学习方案,大数据SQL开发ChatGPT方案,数据集成方案,湖仓分析方案 AllData provides segmented digital solutions by bringing together ecological components in the field of big data and AI. The most important documents: https://docs.qq.com/doc/DVHlkSEtvVXVCdEFo

awesome-english-ebooks icon awesome-english-ebooks

经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新

bank_interview icon bank_interview

:bank: 银行笔试面试经验分享及资料分享(help you pass the bank interview, and get a amazing bank offer!)

bigdata-growth icon bigdata-growth

大数据知识仓库涉及到数据仓库建模、实时计算、大数据、数据中台、系统设计、Java、算法等。

bigdata-hub icon bigdata-hub

数据建设与大数据技术知识体系,包含hadoop、hive、spark、flink主流框架和系列框架,数据中台、数据湖、数据治理、数仓建设、数据化转型等

clickhouse icon clickhouse

ClickHouse® is a free analytics DBMS for big data

cs-408 icon cs-408

计算机考研专业课程408相关的复习经验,资源和OneNote笔记

cs-books icon cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

cskaoyan icon cskaoyan

提供计算机考研和软件工程考研专业的各个学校 考研真题

database-notes icon database-notes

📚深入浅出数据库存储:数据库理论、关系型数据库、文档型数据库、键值型数据库、New SQL、搜索引擎、数据仓库与 OLAP、大数据与数据中台

electronics icon electronics

【笔记】电子学基础。电路分析、模拟电路、数字电路、电力电子。

emotional_analysis icon emotional_analysis

[毕业设计]基于Spark网易云音乐数据分析【1.图计算 2.机器学习预测歌曲分类 3.评论词云 4.评论时间段 5.评论top榜 6.热歌top榜 7.用户性别比例 8.用户星座比例 9.用户年龄比例 10.用户全国地理分布 11.热评搜索等等..】

gdut-course icon gdut-course

广东工业大学计算机学院课程攻略 - 毕业设计、校招、课程设计、实验、经验分享、论文模板、试卷、习题解答等等

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