Course 2672
Course Introduction:Golang has an in-depth understanding of the GPM scheduler model and full scenario analysis. I hope you will gain something from watching this video; it includes the origin and analysis of the scheduler, an introduction to the GMP model, and a summary of 11 scenarios.
Course 5963
Course Introduction:The flex property is used to set or retrieve how the child elements of the flex box model object allocate space. It is the shorthand property for the flex-grow, flex-shrink and flex-basis properties. Note: The flex property has no effect if the element is not a child of the flexbox model object.
Course 2857
Course Introduction:Course introduction: 1. Cross-domain processing, token management, route interception; 2. Real interface debugging, API layer encapsulation; 3. Secondary encapsulation of Echarts and paging components; 4. Vue packaging optimization and answers to common problems.
Course 1795
Course Introduction:Apipost is an API R&D collaboration platform that integrates API design, API debugging, API documentation, and automated testing. It supports grpc, http, websocket, socketio, and socketjs type interface debugging, and supports privatized deployment. Before formally learning ApiPost, you must understand some related concepts, development models, and professional terminology. Apipost official website: https://www.apipost.cn
Course 5521
Course Introduction:(Consult WeChat: phpcn01) The comprehensive practical course aims to consolidate the learning results of the first two stages, achieve flexible application of front-end and PHP core knowledge points, complete your own projects through practical training, and provide guidance on online implementation. Comprehensive practical key practical courses include: social e-commerce system backend development, product management, payment/order management, customer management, distribution/coupon system design, the entire WeChat/Alipay payment process, Alibaba Cloud/Pagoda operation and maintenance, and project online operation. .....
2023-11-17 08:50:36 0 0 84
2023-11-14 12:58:58 0 1 292
Indirect modification of the overloaded attribute of App\Models\User::$profile is invalid.
2023-11-08 11:50:44 0 1 270
Auto-registration service error: depends on ORM entities
2023-11-05 20:56:05 0 1 375
2023-10-31 20:01:48 0 2 222
Course Introduction:How to use PHP to implement click-through rate estimation and advertising recommendation models. Click-through rate estimation and advertising recommendation models are very important technologies in the field of Internet advertising. Click-through rate estimation can help advertisers better estimate the number of clicks on advertisements and thus allocate advertising resources appropriately. The advertising recommendation model can recommend appropriate ads based on the user's interests and behavior, improving the conversion rate of advertising. This article will introduce how to use PHP language to implement click-through rate estimation and advertising recommendation models, and attach code examples to help readers better understand and apply. 1. Click-through rate prediction model
2023-07-29 comment 0 826
Course Introduction:In recent years, big data enlargement models have become the standard paradigm for modeling in the AI field. In the advertising scene, large models use more model parameters and use more training data. The models have stronger memory capabilities and generalization capabilities, opening up more space for improving advertising effects. However, the resources required for large models in the training process have also increased exponentially, and the storage and computing pressure are huge challenges to the machine learning platform. Tencent Taiji machine learning platform continues to explore cost reduction and efficiency improvement solutions. It uses hybrid deployment resources in offline advertising training scenarios to greatly reduce resource costs. It provides Tencent Advertising with 50W core cheap hybrid deployment resources every day, helping Tencent Advertising to reduce the cost of offline model training resources by 30%. %, and through a series of optimization methods, the
2023-04-14 comment 0 772
Course Introduction:phpcms advertising is set under the "Advertising" category in the module management. The method of adding phpcms advertising is: first click to add a placement, select the type of advertising space, and fill in the required parameters according to the type settings; then add the location Add advertisement; finally enter the advertisement title, advertisement type title and other contents.
2020-07-18 comment 0 5295
Course Introduction:Author: Yajie Yingliang, Chen Long and others Introduction As Meituan’s food delivery business continues to develop, the food delivery advertising engine team has conducted engineering exploration and practice in multiple fields and achieved some results. We will share it in a serial manner, and the content mainly includes: ① The practice of business platformization; ② The practice of large-scale deep learning model engineering; ③ The exploration and practice of near-line computing; ④ The practice of large-scale index construction and online retrieval services; ⑤ Mechanism engineering platform practice. Not long ago, we published the practice of business platformization (for details, please refer to the article "Exploration and Practice of Meituan Takeout Advertising Platformization"). This article is the second in a series of articles. We will focus on the challenges brought by large-scale deep models at the full-link level, from the aspects of online delay and offline efficiency.
2023-05-01 comment 0 663
Course Introduction:The phpcms advertising template is in phpcms\templates\default\poster in the installation directory. Among them, banner.html is a rectangular banner, couplet.html is a couplet advertisement, fix.html is a fixed position, and float.html is a floating movement.
2020-02-19 comment 0 1757