Goatgui invites you to attend a machine learning seminar

Participate in machine learning The column is limited to free learning groups ( following 2 All kinds )：

• scanning Main poster activity page in machine learning Column learn the QR code of the group into the Group .
• Click the figure below to enter machine learning Column activity page , And scan the QR code into the Group .

Specific activity details , See 21 Day learning challenge Main poster activity page .

A. Activity Introduction

CSDN Walk with every learner

The high-quality columnist of the platform leads the team to learn accurately

Select high-quality column learning materials. During the activity period, you can study for free within a limited time

Now open the way of learning to punch in , Harvest knowledge 、 You can make friends with like-minded bloggers by winning gifts

B. The author briefly introduces

• Summary

field ： machine learning , Biological information
Good at ： Unsupervised learning , Statistical analysis ,R+python Data analysis
major ： Applied Statistics ( Ben Shuo ), Biomathematics ( Bo )

• Self description

I am a master Applied Statistics ( A University of Finance and Economics ), Doctor Biomathematics ( A University of science and Technology , reading ), Have a solid foundation in statistics and data analysis .
During the master's degree, I followed the master's Guide to study Unsupervised learning , During the doctoral period, I followed the doctoral tutor Biological information and machine learning Research in , Have a deep understanding of machine learning , Good at using python and R Language analysis data .
Once interned in a technology company , During the internship, I mainly participated in Data analysis And ECG Signal filtering algorithm Improvement and other work .

• CSDN Writing process

2017 To join in CSDN,2020 Opened in machine learning 、 statistical 、Python and R Language Etc . Blog content is mostly related to data science , Adhere to the combination of theory and practice , Guide actual combat through theory , Deepen theory through actual combat .

C. Column introduction

• An overview of the contents of the column

machine learning Column from 2020 Since its inception in , existing 383 An article , Contains a large number of machine learning related Paper analysis 、 Course notes 、 Code implementation And Experimental experience . The column includes Feature Engineering 、 Text analysis 、 Return to 、 classification 、 clustering 、 Dimension reduction 、 Figure machine learning 、 Optimize 、python Actual combat, etc . so to speak , This column details my master's degree Research experience and knowledge accumulation about machine learning .

• Suits the crowd

Beginners of machine learning ： The column contains theoretical basis 、 Course notes and project practice
Machine learning researchers ： The column contains a lot of paper analysis ( Most of them are related to unsupervised learning )、 Theoretical proof and code implementation

D. 21 Day study plan

Through this study , You will be ：

1. Consolidate the basic concepts of machine learning , Learn classic machine learning algorithms .

2. Learn new clustering algorithms through top papers , Understand the experimental steps of the thesis .

3. Study python Data analysis library numpy and pandas, Combined with machine learning library scikit-learn Data analysis .

4. Participate in Knowledge Q & A and paper discussion through Tencent meeting , feel ( Again ) Discussion class atmosphere .

• The first week ( Fundamentals of Data Science )

Time	Blogger learning arrangement	Students learn to punch in tasks	How students punch in
Day1~Day2	Start camp +1 Return to basic resource learning + Knowledge explanation + Test questions	Personal profile + Learning plan formulation of this week + Learning notes	Complete the punch in content in the form of column details page blog
Day3~Day4	1 Chapter clustering basic resource learning + Knowledge explanation + Test questions	Learning notes	Complete the punch in content in the form of column details page blog
Day5~Day6	1 Machine learning basic resource learning + Knowledge explanation + Test questions	Learning notes	Complete the punch in content in the form of column details page blog
Day7	Knowledge summary of this week + Knowledge Q & A	Learning summary	Complete the punch in content in the form of column details page blog

• In the second week of ( Anatomy of clustering algorithm )

Time	Blogger learning arrangement	Students learn to punch in tasks	How students punch in
Day1~Day2	1 Clustering paper learning + Knowledge explanation + Test questions	Learning plan formulation of this week + Learning notes	Complete the punch in content in the form of column details page blog
Day3~Day4	1 Clustering paper learning + Knowledge explanation + Test questions	Learning notes	Complete the punch in content in the form of column details page blog
Day5~Day6	1 Clustering paper learning + Knowledge explanation + Test questions	Learning notes	Complete the punch in content in the form of column details page blog
Day7	Knowledge summary of this week + Knowledge Q & A	Learning summary	Complete the punch in content in the form of column details page blog

• The third week ( Data science practice )

Time	Blogger learning arrangement	Students learn to punch in tasks	How students punch in
Day1~Day2	2 piece numpy Practical resource learning + Knowledge explanation	Learning plan formulation of this week + Learning notes	Complete the punch in content in the form of column details page blog
Day3~Day4	2 piece pandas Practical resource learning + Knowledge explanation	Learning notes	Complete the punch in content in the form of column details page blog
Day5~Day6	2 Machine learning practical resource learning + Knowledge explanation	Learning notes	Complete the punch in content in the form of column details page blog
Day7	Knowledge summary of this week + Knowledge Q & A	Learning summary	Complete the punch in content in the form of column details page blog