Kubernetes + OAM 让开发者更简单云原生应用基础平台 - 9 月即将开源 • 早期项目成员与合作伙伴招募中 ！ 云原生应用管理交流千人钉钉群 We Are Hiring! y.zhang@alibaba-inc.com x.li@alibaba-inc.om0 码力 | 22 页 | 10.58 MB | 1 年前3- Lecture 5: Gaussian Discriminant Analysis, Naive BayesGaussian Discriminant Analysis, Naive Bayes and EM Algorithm Feng Li Shandong University fli@sdu.edu.cn September 27, 2023 Feng Li (SDU) GDA, NB and EM September 27, 2023 1 / 122 Outline 1 Probability Case 3 Gaussian Discriminate Analysis 4 Naive Bayes 5 Expectation-Maximization (EM) Algorithm Feng Li (SDU) GDA, NB and EM September 27, 2023 2 / 122 Probability Theory Review Sample space, events and probability distribution Independence Conditional probability distribution Bayes’ Theorem ... ... Feng Li (SDU) GDA, NB and EM September 27, 2023 3 / 122 Sample Space, Events and Probability A sample space0 码力 | 122 页 | 1.35 MB | 1 年前3
- Lecture 6: Support Vector MachineLecture 6: Support Vector Machine Feng Li Shandong University fli@sdu.edu.cn December 28, 2021 Feng Li (SDU) SVM December 28, 2021 1 / 82 Outline 1 SVM: A Primal Form 2 Convex Optimization Review SVM 4 SVM with Kernels 5 Soft-Margin SVM 6 Sequential Minimal Optimization (SMO) Algorithm Feng Li (SDU) SVM December 28, 2021 2 / 82 Hyperplane Separates a n-dimensional space into two half-spaces and b to define it b > 0 means moving it parallely along ω (b < 0 means in opposite direction) Feng Li (SDU) SVM December 28, 2021 3 / 82 Support Vector Machine A hyperplane based linear classifier defined0 码力 | 82 页 | 773.97 KB | 1 年前3
- Lecture 1: OverviewLecture 1: Overview Feng Li Shandong University fli@sdu.edu.cn September 6, 2023 Feng Li (SDU) Overview September 6, 2023 1 / 57 Lecture 1: Overview 1 About the Course 2 Machine Learning: What Machine Learning 4 Some Basic Concepts of Machine Learning Feng Li (SDU) Overview September 6, 2023 2 / 57 Instructor Prof. Feng Li Web: https://funglee.github.io Office: N3-312-1 Education: 2010-2015 Distributed Algorithms and Systems, Wireless Net- works, Mobile Computing, Internet of Things. Feng Li (SDU) Overview September 6, 2023 3 / 57 Course Information We will investigate fundamental concepts0 码力 | 57 页 | 2.41 MB | 1 年前3
- Lecture 7: K-MeansLecture 7: K-Means Feng Li Shandong University fli@sdu.edu.cn December 28, 2021 Feng Li (SDU) K-Means December 28, 2021 1 / 46 Outline 1 Clustering 2 K-Means Method 3 K-Means Optimization Problem Problem 4 Kernel K-Means 5 Hierarchical Clustering Feng Li (SDU) K-Means December 28, 2021 2 / 46 Clustering Usually an unsupervised learning problem Given: N unlabeled examples {x1, · · · , xN}; no clustering is one that achieves: High within-cluster similarity Low inter-cluster similarity Feng Li (SDU) K-Means December 28, 2021 3 / 46 Similarity can be Subjective Clustering only looks at similarities0 码力 | 46 页 | 9.78 MB | 1 年前3
- 廖雪峰JavaScript教程id="test-list"> 3. <li class="lang">Schemeli> 4. <li class="lang">JavaScriptli> 5. <li class="lang">Pythonli> 6. <li class="lang">Rubyli> 7. <li class="lang">Haskellli> 8. 按字符串顺序重新排序DOM节点： HTML结构 --> 2.要选出JavaScript，可以用层级选择器：
- 3. <li>JavaScriptli> 4. <li>Swiftli> 5. <li>HTMLli> 6. <li>ANSI Cli> 7. <li>CSSli> 8. <li>DirectXli> 9.
- 4. <li class="lang-javascript">JavaScriptli> 5. <li class="lang-python">Pythonli> 6. <li class="lang-lua">Luali> 7.
Angular 8 - Reviewed
如何使用 docker 部署一个 beego 项目
在开发中使用 Docker 的优势包括：
- <li>一个用于所有团队成员的标准开发环境li> <li>更新的依赖性集中化以及在任何地方都能使用相同的容器li> <li>在开发和生产中完全相同的环境li> <li>修复了可能只会出现在生产环境中的潜在问题li>
开始准备： <li>安装好
go 环境和 docker 环境的 centos7.0 服务器一台li> <li>在 /root 目录(或者其他目录)下有 go 工作目录（我的以 /root/go/src 为例）li> <li>在本机上安装好 bee bee 工具(便于调试)li> <li>在 src 目录下面 bee new test_dockerli> 配置 Docker 用于开发：
<li>创建 Dockerfileli>
Jinja2 Documentation Release 2.10My Webpage
{{ a_variable }} {# a comment Jinja syntax in a template, you can use this snippet: {% raw %} {% for item in seq %} <li>{{ item }}li> {% endfor %}
{% endraw %} 5.8 Line Statements If line statements are enabled by the following two examples are equivalent: # for item in seq <li>{{ item }}li> # endfor
{% for item in seq %} <li>{{ item }}li> {% endfor %}
The line statement prefix can appear anywhere Lecture 2: Linear Regression
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