▌ Background of this activity
21 The data of the century is like 18 Petroleum of the century , It's a huge 、 An untapped treasure . With the wave of digital transformation of industry , All walks of life need to establish a business model suitable for their own AI The brain , To realize smart business 、 Intelligent decision making . And data science is AI An important part of the brain , It affects the level of commercial application value .
At present , Machine learning technology has been applied in a large number of practical scenarios , This issue will invite people from Amazon 、 The ant gold dress / Google developer community and MobTech Many technical experts, such as mobo technology, have focused on the topic that machine learning technology enables the value of multiple application scenarios , Explore how data science can broaden industrial boundaries .
▌ The current agenda
Time ：3 month 3 Japan （ Thursday ）20:00 —21:30
Registration method ： Scan the blue QR code of the poster above to participate in the registration
20:00—20:25
《MLOps、TFX pipelines And the application of large-scale machine learning 》
Jiang Jun | Senior technical expert of ant group 、 Google developer machine learning expert
Introduce MLOps Concept , as well as Google、TensorFlo In this regard, end-to-end solutions at the production level , How to make large-scale machine learning services Search recommendations 、 Scientific research and other fields . Help the audience to be inspired , Set up a machine learning platform for your own enterprise or project , And used in business .
20:25—20:50
《 Quickly build a personalized recommendation engine with business data 》
Wang Yubo | Amazon Head of Developer Relations GCR
all the time , The need for recommendation systems can be said to be everywhere , Shopping from e-commerce 、 News reading 、 Recommendations for audio and video to online applications . Now? , Developers can use recommendation services based on Amazon e-commerce technology , Quickly start the personalized recommendation journey , By universal benefit AI Help realize business value .
20:50—21:15
《 Machine learning enables advanced commercial real estate decision making —— Analysis of shopping malls' passenger flow and location 》
Ye Qiu | MobTech Senior Data Mining Engineer of broad technology
As the epidemic subsides and economic growth turns to domestic consumption , Offline consumption has ushered in a new round of growth trend . As an important part of offline consumption, shopping malls and business districts have attracted extensive attention , The development and operation of shopping malls has become the core issue of real estate developers . In the Middle East: , The passenger flow determines the basic price of the mall , The distribution of work and residence indirectly affects the consumption level and frequency of the main customer group . therefore , How to accurately and quickly understand the distribution of passenger flow and location is an important part of the business decision-making of shopping malls .MobTech Accumulated through rich data achievements 、 Analysis and processing of multidimensional rules and frontier algorithms , Accurately get the distribution of passenger flow and duty and residence , All round enabling commercial real estate decision-making
21:15—21:30
Learn Mini Talk： Where is the highland of future data science enabling business application scenarios ？
Wang Yubo 、 Jiang Jun
▌ Live benefits
1、 Successful recommendation 5 Technical colleagues / Friends sign up for live broadcast , That is, the opportunity to obtain a technical book ;
2、 Successful recommendation 10 Technical colleagues / Friends sign up for live broadcast , That is, you have a chance to get a geek backpack ;
▌ Activities Tips：
1、 Scan the code, fill in the basic information and submit the application form , The organizers will be in 24 Audit within hours
2、 After the audit is successful , You'll text before the event 、 mail 、 The official account and other channels will receive successful registration and live link
3、 Add a small assistant to the mobile terminal technology exchange group , Learn to draw a lottery ！
▌Coder Park live broadcast
In order to enhance the technical exchange between developers , Promote technical and business cooperation among enterprises ,MobTech Broad technology links well-known enterprises 、 Community platform 、 Technical Association 、 Excellent technical experts, etc , Jointly create an online live technology sharing column 【Coder Park】. In the first quarter, Huawei 、 China Academy of communications 、 Alibaba and other well-known platforms 10 position + lecturer , Around the big data platform architecture 、 Data security 、 Wonderful sharing in mobile development and other directions , Near harvest 50000+ Participants pay attention to ,, Actively promote industry exchanges and technical sermons .
▌ The second season introduces
【Coder Park】 The second quarter will focus on the field of data intelligence , Linkage with China Academy of information and communications 、 Amazon 、 Kwai and other front-line enterprises , And the Google developer community 、 Nuggets 、 Open source in China 、 Volcano engine developer community 、TechParty Cooperate with community organizations , Around data science algorithms 、 Data governance 、 Share topics in technical fields such as data midrange and data storage , Help more enterprises rapidly promote the process of digital transformation . New upgrade of guest lineup and partners in the second quarter , More exciting content and gift surprises are waiting for you to explore .
▌【Coder Park】 Past highlights
Activity Notice ｜【Coder Park】MobTech Join hands with Alibaba to focus on big data architecture
Activity Notice ｜【Coder Park】MobTech Join hands with Google and Ali technical experts to talk about the new direction of the mobile terminal
Activity Notice ｜ MobTech Talk about the practice of data security architecture with the Chinese Academy of information technology
Activity Notice ｜【Coder Park】 Domestic front-line technical experts take you into the practice of machine learning algorithms
