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Where there is data generated, there is machine learning algorithms in use. Here, we take you into the big world of machine learning algorithms, and let you have a glimpse of the magic of algorithms.

There are thousands of machine learning algorithms available that it can feel overwhelming when algorithm names are thrown around. It is useful to tour the main algorithms in the field to get a feeling of what methods are available. This section plans to summarize the most of algorithms in theory and classify them according to their attributes.

This section is aimed at explaining the machine learning algorithms that are in use now or will be applied in future in all kinds of sectors of society. Give help to those who are interested in exploring the forest of algorithms by case-based teaching and learning.

1. 计算机/互联网/通信/电子

• 1.1 计算机软件
• 1.2 计算硬件
• 1.3 计算机服务(系统、数据服务、维修)
• 1.4 通信/电信/网络设备
• 1.5 通信/电信运营、增值服务
• 1.6 互联网/电子商务
• 1.7 网络游戏
• 1.8 电子技术/半导体/集成电路
• 1.9 仪器仪表/工业自动化

2. 会计/金融/银行/保险

• 1.1 会计/审计
• 1.2 金融/投资/证券
• 1.3 银行
• 1.4 保险
• 1.5 信托/担保/拍卖/典当

3. 贸易/消费/制造/营运

• 1.1 贸易/进出口
• 1.2 批发/零售
• 1.3 快速消费品(食品、饮料、化妆品)
• 1.4 服装/纺织/皮革
• 1.5 家具/家电/玩具/礼品
• 1.6 奢侈品/收藏品/工艺品/珠宝
• 1.7 办公用品及设备
• 1.8 机械/设备/重工
• 1.9 汽车及零配件

4. 制药/医疗

• 1.1 制药/生物工程
• 1.2 医疗/护理/卫生
• 1.3 医疗设备/器械

5. 广告/媒体

• 1.1 广告
• 1.2 公关/市场推广/会展
• 1.3 影视/媒体/艺术/文化传播
• 1.4 文字媒体/出版
• 1.5 印刷/包装/造纸

6. 房地产/建筑

• 1.1 房地产
• 1.2 建筑/建材/工程
• 1.3 家居/室内设计/装潢
• 1.4 物业管理/商业中心

7. 专业服务/教育/培训

• 1.1 中介服务
• 1.2 专业服务(咨询、人力资源、财会)
• 1.3 外包服务
• 1.4 检测认证
• 1.5 法律
• 1.6 教育/培训/院校
• 1.7 学术/科研
• 1.8 租赁服务

8. 服务业

• 1.1 餐饮业
• 1.2 酒店/旅游
• 1.3 娱乐/休闲/体育
• 1.4 美容/保健
• 1.5 生活服务

9. 物流/运输

• 1.1 交通/运输/物流
• 1.2 航天/航空

10. 能源/原材料

• 1.1 石油化工/矿产.地质
• 1.2 采掘业/冶炼
• 1.3 电气/电力/水利
• 1.4 新能源
• 1.5 原材料和加工

11. 政府/非盈利组织/其他

• 1.1 政府/公共事业
• 1.2 非营利组织
• 1.3 环保
• 1.4 农林牧渔
• 1.5 多元化业务集团公司

This section tries to provide a broad view of algorithms that are practically applied in various specific scenario, and focuses on algorithmic solutions to questions from a particular perspective of scenario. Here, you might find similar answers to challenges that are annoying you right now, and probably you can get inspired by reading our open-source materials.

Machine learning algorithms is making rapid progress on a daily basis, engineers worldwide are contributing to algorithms repo every moment. it is necessary to keep track of the latest development in algorithms after you have already known existed algorithms well, and this is exactly what this section are doing.

This section is to answer the question related to algorithms. Besides, it occasionally delivers analysis reports about some industries.

When algorithms meets data, sparks are generated. Data are the processing material of algorithms. The algorithms can extract knowledge from data, and provide useful insights. This section hosts all the data used in this project, you can use them reexperiment from scratch.

If you are interested into this project, and be able to make some contribution to it, you are welcome to contact me via email([email protected]) or weicaht(13980741552).