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[team learning] [phase 38] details of team learning content!

2022-06-10 03:48:00 Youth programming contest communication


The first 38 period Datawhale The team learning activity will begin soon !

  • 06 month 08 Japan ( Wednesday ), Dispersing pertains ,6 Monthly team learning plan !.
  • 06 month 11 Japan ( Saturday ), Enter learning group 、 The opening ceremony .

The content of this team learning is :

  1. Eat melons —— Watermelon book + Pumpkin book
  2. Hands on data analysis
  3. Li hongyi machine learning ( Including deep learning )
  4. Data visualization (Matplotlib)
  5. SQL programing language
  6. Explain profound theories in simple language Pytorch
  7. GitModel mathematical modeling
  8. Use Pytorch Reproduce the recommended model
  9. C++ Language and basic algorithms
  10. Zero foundation entry data mining event
  11. Youth programming :Python Language

You can learn by yourself according to our open source content , You can also join our team to learn .


1. Eat melons —— Watermelon book + Pumpkin book

  • Route pioneer : Xie Wenrui 、 Qinzhou
  • pilot : Lushuiqiong
  • A sailor : Xie Wenrui 、 Qinzhou

essential information

  • Open source content :https://github.com/datawhalechina/pumpkin-book
  • B Stop video :https://www.bilibili.com/video/BV1Mh411e7VU
  • Content properties : machine learning ( theory ) project
  • Course number :107
  • Content description : Mr. Zhou Zhihua's “ Watermelon book ” It is a classic introductory textbook for machine learning , It's worth reading over and over , coordination “ Pumpkin book ” Explain from the perspective of undergraduate mathematics foundation , Lay the foundation together !
  • Positioning the crowd : Bachelor's degree in mathematics ( Advanced mathematics 、 linear algebra 、 Probability theory and mathematical statistics ) Classmate .
  • hot tip : The learning form of melon eating tutorial is live broadcast + The community answers questions , It aims to promote more people to learn .

Task arrangement

  • Learning cycle :18 God


2. Hands on data analysis

  • Route pioneer : Chen Anton 、 Jin JUANJUAN 、 Yang Jiada 、 cousin 、 Li ling 、 Zhang Wentao 、 Gao Liye
  • pilot : Zhouhuichi
  • A sailor : Cui tengsong 、 Yu Hongfei

essential information

  • Open source content :https://github.com/datawhalechina/hands-on-data-analysis
  • Open source content :https://gitee.com/datawhalechina/hands-on-data-analysis
  • B Stop video :https://www.bilibili.com/video/BV1Uv411p77r
  • Content properties : Excellent introductory course series
  • Course number :202
  • Content description : Take the project as the main line , By learning , How to do and be guided , Not only master the knowledge points, but also master the general idea and process of data analysis .
  • Positioning the crowd : Know something python, Learners who want to get started with data analysis .

Task arrangement

  • Learning cycle :11 God


3. Li hongyi machine learning ( Including deep learning )

  • Route pioneer : Wang Maolin 、 Chen Anton , Liu Zhengrong , Li ling
  • pilot : LV Haojie
  • A sailor : Nursery 、 Songhaoyang 、 Sun Zihan

essential information

  • Open source content :https://github.com/datawhalechina/leeml-notes
  • Open source content :https://gitee.com/datawhalechina/leeml-notes
  • Content properties : Deep learning ( theory ) project
  • Course number :108
  • Video address :https://www.bilibili.com/video/BV1Ht411g7Ef
  • Video address :https://www.bilibili.com/video/BV1JA411c7VT
  • Official address :http://speech.ee.ntu.edu.tw/~tlkagk/courses.html
  • Content description : Help you learn more about Mr. Li Hongyi's machine learning video , And add relevant supplementary information , I believe you will have a deeper understanding of machine learning .
  • Positioning the crowd : Deep learning beginners , Calculus , Fundamentals of linear algebra .
  • hot tip : This tutorial is an in-depth learning tutorial .

Task arrangement

  • Learning cycle :14 God


4. Data visualization (Matplotlib)

  • Route pioneer : Yang Jianli 、 Yang Yu 、 Geng Yuanhao 、 Li Yunjia 、 Ju Fengxia
  • pilot : Liyuanpeng
  • A sailor : Yuan Yihan 、 Xu yunwan

essential information

  • Open source content :https://github.com/datawhalechina/fantastic-matplotlib
  • Open source content :https://gitee.com/datawhalechina/fantastic-matplotlib
  • Content properties : Excellent introductory course series
  • Course number :006
  • Content description : The design of this course content is almost entirely based on the structure of official documents , By summarizing the official documents , The system has been sorted out python The most important aspect of data visualization package , And some exercises are provided for learners to check their learning effect .
  • Positioning the crowd : Hope to learn through the system matplotlib Package to improve python People with visualization skills .
  • hot tip : This course is organized by Datawhale Members of the data visualization team work together to complete , Is aimed at matplotlib A beginner's introductory course . Learning this course requires basic python The foundation is enough .

Task arrangement

  • Learning cycle :14 God


5. SQL programing language

  • Route pioneer : Wang Fuzhen 、 Yang Yu 、 Yan Zhongfeng 、 Yang Mengdi 、 Su Peng
  • pilot : serena
  • A sailor : Zhang Xiangyu 、 Yang Shichao 、 Shepherd boy

essential information

  • Open source content :https://github.com/datawhalechina/wonderful-sql
  • Open source content :https://hub.fastgit.org/datawhalechina/wonderful-sql
  • Content properties : Excellent introductory course series
  • Course number :014
  • Content description :Follow me, from 0 To 1 master SQL. complete SQL Use the environment to build , Understand the basic characteristics of relational database , be familiar with SQL Basic operations of adding, deleting, modifying and querying , Learn more about views 、 Subquery 、 function 、 Window function and other high-order usage , Finally, try the secret script of autumn move , Test the effect of your study .
  • Positioning the crowd :0 Basic students , Hope to master SQL Students of basic query .
  • hot tip : nothing

Task arrangement

  • Learning cycle :16 God


6. Explain profound theories in simple language Pytorch

  • Route pioneer : Li Jiaqi 、 Niu Zhikang 、 Liu Yang 、 Chen Anton
  • pilot : Chen Yuli
  • A sailor : Liu Xing 、 Guo Miansheng 、 Qiao bin 、 Kuang Junwei

essential information

  • Open source content :https://github.com/datawhalechina/thorough-pytorch
  • Open source content :https://gitee.com/datawhalechina/thorough-pytorch
  • Content properties : Deep learning ( practice ) project
  • Course number :904
  • Content description :PyTorch Combination of theory and Practice , From basic knowledge to project practice .
  • Positioning the crowd : Have 《 Advanced mathematics 》、《 linear algebra 》、《 Probability theory and mathematical statistics 》 Basics , Have a certain foundation of machine learning and deep learning , Familiar with common concepts , Will use Python.
  • hot tip : The learning form is course material learning + Live Q & A

Task arrangement

  • Learning cycle :14 God


7. GitModel mathematical modeling

  • Route pioneer : Li Zuxian 、 Liu Sihao 、 Zhengbobin
  • pilot : 61
  • A sailor : Liu Sihao 、 Heqingxuan 、 Qiu Guangkun

essential information

  • Open source content :https://github.com/Git-Model/init_Modeling
  • Content properties : Cooperative courses
  • Content description : Explain the most basic mathematical tools used in mathematical modeling —— Advanced Mathematics 、 Lineage 、 probability statistics , And explain how to use Python Programming language , Across the gap from theory to practice !
  • Positioning the crowd : Students who want to get started in mathematical modeling but don't know where to start ; I am a math major and know theoretical knowledge , But I don't know how to realize it .
  • hot tip : The learning form is course material learning + Live Q & A

Task arrangement

  • Learning cycle :14 God


8. Use Pytorch Reproduce the recommended model

  • Route pioneer : Lai Mincai , Luo Ruyi , Wu Zhongqiang , Wang Zhihong , Tang Xin , Wangyuchen , Heshifu
  • pilot : Li Zhuo
  • A sailor : Wangyuchen 、 Wangweiliang 、 Yuzhouxin 、 Wang Kai 、 Tang Xin 、 Ren Pengfei

essential information

  • Open source content :https://github.com/datawhalechina/torch-rechub
  • Open source content :https://github.com/datawhalechina/fun-rec
  • Content properties : Recommend system practice topics
  • Content description : Learning this course has certain pytorch And the foundation of deep learning , Suitable for beginners of recommendation system . This course is designed to help students master torch-rechub Design and use of framework , Master the sorting in the depth recommendation system 、 Recall 、 Design idea and practical skills of multi task model .
  • Positioning the crowd : There is a certain Pytorch Basics , Familiar with deep learning , Understand the basic algorithm of recommendation system , Want to be more familiar with the in-depth recommendation model widely used in the industry .
  • hot tip : nothing

Task arrangement

  • Learning cycle :15 God


9. C++ Language and basic algorithms

  • Route pioneer : Team Boyu 、 Shanghai Jiaotong University ACM Class members
  • pilot : Kevin left 、 Nieyao
  • A sailor : Chen Yuang 、 Guguowei 、 High rock 、 Zhaowenyi

essential information

  • Open source content :https://www.qingzhouzhixue.com/
  • Content properties : Cooperative courses
  • Content description : Courses from C++ From the core grammar to the principle of program operation . And C++ Explain high-precision operations 、 Classic sorting and search 、 Binary search application 、 Dynamic programming and knapsack problem .
  • Positioning the crowd : Zero foundation wants to learn C++ Classmate .
  • hot tip : nothing

Task arrangement

  • Learning cycle :22 God


10. Zero foundation entry data mining event

  • Route pioneer : Fishman 、 Ashui
  • pilot : Tian Yao
  • A sailor : Wujiyang 、 Zhangfusheng

essential information

  • Open source content :https://coggle.club/?platform=xfyun
  • Content properties : Public beta course
  • Content description : Zero foundation entry data mining event , Be proficient in the operation process of the event during the learning process , Learn to process unstructured data , Consolidate the learned algorithm knowledge .
  • Positioning the crowd : Have a certain Python Basics , Understand basic machine learning algorithms , Beginners who want to practice and learn .
  • hot tip : nothing

Task arrangement

  • Learning cycle :10 God


11. Youth programming :Python Language

  • Route pioneer : Wang Siqi 、 Ma Yanpeng
  • pilot : Ma Yanpeng
  • A sailor : Ma Yanpeng

essential information

  • Open source content :https://github.com/datawhalechina/team-learning-program/tree/master/ChildrenProgramming
  • Learning video :https://space.bilibili.com/90353310/
  • Content properties : Public beta course
  • Course number :030
  • Content description : Follow Mr. Chunlei , Watch the video and learn Python The basics of programming ..
  • Positioning the crowd : Yes Python Children interested in programming .
  • hot tip : Primary school 3 Grade and above .

Task arrangement

  • Learning cycle :21 God


10. Specific rules

Introduction to punch in method

  • Task punch in entry : Open source learning applet -> Team learning -> My own courses -> Mission .
  • Punch in the task “ *** ” *** 【 Required 】.
  • stay CSDN、 Write technical blogs on platforms such as Jianshu 【 encourage 】.
  • Punch in the task “ Punch in link ” Fill in the website of the technical blog with your own original content 【 optional 】.
  • We will invite the captain to check the blog posts filled in the technical blog website and give feedback .
  • After clocking in , You can enter the punch ring , View all learners' punch outs , Support like , Comment on .

For specific operation, see : How to use open source learning applet ?

Introduction to punch in requirements

  • The punch in content includes but is not limited to the understanding of theoretical knowledge 、 Expand 、 Code implementation 、 Formula derivation, etc , You can also share your learning process live . You do not need to copy and paste the original tutorial .
  • If you need to quote tutorial content or other important materials in your notes , Hope to indicate the source , And attach the source link , Avoid Copyright Disputes .
  • The clock in deadline is the early morning of the second day after the specified time of each task 3:00, You need to punch in before you go to bed , Not after getting up the next day .
  • Comply with any non-standard clock out regulations ( The number of words is less than 50、 Copy and paste tutorial content 、 Content irrelevant to this task ) Or students who don't punch in in time , The pilot will “ Out of the learning group ”, The supervision fee will not be refunded , And close the follow-up clock out .

11. Those things of team learning

In addition to team learning , Let's read the story of team learning !

Learners who want to participate in activities , Let's read the notes of team learning !

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