Domain Summary
cs自学指南
| Global rank: | #101377 |
|---|---|
| Daily visitors: | 10.74K |
| Monthly Visits: | 322,066 |
| Pageviews per user: | 9.59 |
| Registrar Abuse Contact Email: | [email protected] |
| Registrant Phone: |
| Rating | |
|---|---|
| TLD: | wiki |
| IP Address: | 185.199.109.153 |
| Organization: | Github, Inc. |
| Category: | Computers Electronics and Technology > Programming and Developer Software |
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cs自学指南
csdiy.wiki is probably legit as the trust score is reasonable. Our algorithm rated csdiy.wiki a 95. Although our rating of csdiy.wiki is medium to low risk, we encourage you to always vote as the evaluation of the site is done automatically.
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Monthly visits: 374234https://csdiy.wiki/en/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/CS229/
Offered by: Stanford. Prerequisite requirements: Advanced Mathematics, Probability Theory, Python, Solid mathematics skills. Programming Languages: None. Difficulty:🌟🌟🌟🌟. Class Hour: 100 hours. This is another ML course offered by Andrew Ng. Since it is graduate-level, it focuses more on the mathematical theory behind machine learning.
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turotial from csdiy.wiki. Contribute to aotushi/csdiy development by creating an account on GitHub.
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Class Hour: 80 hours. This is Berkeley's introductory course in data science, covering the basics of data cleaning, feature extraction, data visualization, machine learning and inference, as well as common data science tools such as Pandas, Numpy, and Matplotlib. The course is also rich in interesting programming assignments, which is one …
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csdiy.wiki Top Traffic Sources. The top traffic source to csdiy.wiki is Direct traffic, driving 73.43% of desktop visits last month, and Organic Search is the 2nd with 14.26% of traffic.
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Setup. Terminal. PowerShell: The terminal is a program that allows you to interact with your computer by entering commands. You already have a program called Windows …
https://github.com/PKUFlyingPig/cs-self-learning/discussions/250
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Class Hour: 40 hours. Computer Networking: A Top-Down Approach is a classic textbook in the field of computer networking. The two authors, Jim Kurose and Keith Ross, have carefully crafted a course website to support the textbook, with lecture recordings, interactive online questions, and WireShark labs for network packet analysis.
DNS entries, such as A, NS, MX, and TXT records, are crucial for the functioning of the Internet. The A record maps a domain name to an IPv4 address, while the NS record specifies authoritative name servers for a domain. The MX record identifies the mail server responsible for receiving email messages for a domain. Additionally, the TXT record allows for the association of any text information with a domain name. These records play a vital role in ensuring proper communication and connectivity across the internet.
| Host | Class | TTL | Type | Data | |
| csdiy.wiki | IN | 600 | A | ip: 185.199.109.153 | |
| csdiy.wiki | IN | 600 | A | ip: 185.199.108.153 | |
| csdiy.wiki | IN | 3600 | NS | target: display.dnspod.net | |
| csdiy.wiki | IN | 3600 | NS | target: red.dnspod.net | |
| csdiy.wiki | IN | 180 | SOA | mname: red.dnspod.netrname: freednsadmin.dnspod.comserial: 1639564534refresh: 3600retry: 180expire: 1209600minimum-ttl: 180 |
According to global rankings, csdiy.wiki holds the position of #101377. It attracts an approximate daily audience of 10.74K visitors, leading to a total of 10848 pageviews. On a monthly basis, the website garners around 322.07K visitors.
Daily Visitors10.74K
Monthly Visits322.07K
Pages per Visit9.59
Visit Duration0:05:61
Bounce Rate35.02% Daily Unique Visitors: | 10735 |
 Monthly Visits: | 322066 |
 Pages per Visit: | 9.59 |
 Daily Pageviews: | 10848 |
 Avg. visit duration: | 0:05:61 |
 Bounce rate: | 35.02% |
 Monthly Visits (SEMrush): | 324522 |
| Sources | Traffic Share |
 Social: | 2.99% |
 Paid Referrals: | 13.16% |
 Mail: | 0.16% |
 Search: | 10.69% |
 Direct: | 72.95% |
| Country | Traffic Share |
 China: | 62.47% |
 Hong Kong: | 13.18% |
 Singapore: | 5.96% |
 Taiwan: | 4.53% |
 United States: | 4.08% |
An SSL certificate is a digital certificate that ensures a secure encrypted connection between a web server and a user's browser. It provides authentication and encryption to keep data private and protected during transmission. csdiy.wiki supports HTTPS, demonstrating their commitment to providing a secure browsing experience for users.
HTTP headers are additional segments of data exchanged between a client (e.g. a web browser) and a server during an HTTP request or response. They serve to provide instructions, metadata, or control parameters for the interaction between the client and server.
csdiy.wiki is likely hosted in various data centers located across different regions worldwide. The current data center mentioned is just one of many where the website may be hosted.
WHOIS protocol used to get domain/IP info. Common for reg details, ownership of a domain/IP. Check csdiy.wiki for reg/admin contact info, owner, org, email, phone, creation, and expiration dates.
| Domain Updated Date: | 2023-12-20 |
| Domain Created Date: | 2021-12-15 |
| Domain Expiry Date: | |
| Domain Name: | |
| Registrar WHOIS Server: | whois.dnspod.cn |
| Registrar Abuse Contact Email: | [email protected] |
| Registrar Abuse Contact Phone: | +86.4009100100 |
| Domain Registrar: | DNSPod, Inc. |
| Domain Owner: | Zhong Yin Min |
Domain Name: csdiy.wiki
Registry Domain ID: D264168417CNIC-GDREG
Registrar WHOIS Server: whois.dnspod.cn
Registrar URL: www.dnspod.cn
Updated Date: 2023-12-20T04
Creation Date: 2021-12-15T09
Registry Expiry Date: 2024-12-15T23
Registrar: DNSPod, Inc.
Registrar IANA ID: 1697
Registrar Abuse Contact Email: [email protected]
Registrar Abuse Contact Phone: +86.4009100100
Registrant Organization: Zhong Yin Min
Registrant State/Province: bei jing shi
Registrant Country: CN
Name Server: display.dnspod.net
For more information on Whois status codes, please visit https: //icann.org/epp
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SEO analysis involves examining the performance of a website, including titles, descriptions, keywords, and website speed. It also includes identifying popular keywords and researching competitor websites to understand their strategies. The analysis aims to optimize the website's visibility and improve its ranking on search engines.
Length: 14 characters
Title tags are usually best kept short, within 50-70 characters. It's important to note that search engines will typically read the entire title tag even if it exceeds 70 characters, but there is a chance they may cut it off or disregard it.
No meta description found.
Length: 0 characters
When crafting website descriptions, keep in mind that search engines only show the first 150-160 characters in search results. To ensure your entire description is visible, aim for a length of 25-160 characters. If your description is too long, it may get cut off. Conversely, if it's too short, search engines may add text from elsewhere on your page. Additionally, search engines may modify the description you provide to better match the user's search intent. It's best to strike a balance between brevity and relevance for optimal visibility.
No meta keywords found.
In the realm of search engine optimization, the meta keywords tag has become a relic of the past due to its potential for misuse, ultimately leading major search engines to disregard it in their ranking algorithms.
| Term | Count | Density |
| learning | 10 | 3.77% |
| ucb | 9 | 3.40% |
| python | 9 | 3.40% |
| mit | 8 | 3.02% |
| stanford | 8 | 3.02% |
| programming | 8 | 3.02% |
| project | 7 | 2.64% |
| machine | 6 | 2.26% |
| introduction | 6 | 2.26% |
| theory | 5 | 1.89% |
| deep | 5 | 1.89% |
| java | 4 | 1.51% |
| computer | 4 | 1.51% |
| systems | 4 | 1.51% |
| coursera | 3 | 1.13% |
| rust | 3 | 1.13% |
| latex | 3 | 1.13% |
| git | 3 | 1.13% |
| github | 3 | 1.13% |
| data | 3 | 1.13% |
A crucial factor in search engine optimization is keyword density, which refers to the proportion of a particular keyword present in the text of a webpage. In order to achieve high rankings on search engine results pages, it is essential to maintain the appropriate keyword density for your primary keyword.
| <h> CS自学指南 跳转至 CS自学指南 前言 简体中文 English 正在初始化搜索引擎 cs-self-learning CS自学指南 cs-self-learning 前言 前言 目录 梦开始的地方 —— CS61A 为什么写这本书 自学的好处 自学的坏处 这本书适合谁 特别鸣谢 你也想加入到贡献者的行列 关于交流群的建立 请作者喝杯下午茶 如何使用这本书 一个仅供参考的CS学习规划 必学工具 必学工具 翻墙 Vim Emacs Git GitHub GNU Make CMake LaTeX Docker Scoop 日常学习工作流 实用工具箱 毕业论文 信息检索 好书推荐 数学基础 数学基础 MIT18.01/18.02: Calculus MIT18.06: Linear Algebra MIT6.050J: Information theory and Entropy 数学进阶 数学进阶 UCB CS70: discrete Math and probability theory UCB CS126: probability theory MIT 6.042J: Mathematics for Computer Science MIT18.330: Introduction to numerical analysis Standford EE364A: Convex Optimization The Information Theory, Pattern Recognition, and Neural Networks 编程入门 编程入门 MIT-Missing-Semester Sysadmin DeCal Python 语言 Python 语言 UCB CS61A: Structure and Interpretation of Computer Programs CS50P: CS50's Introduction to Programming with Python C 语言 C 语言 Harvard CS50: This is CS50x Duke University: Introductory C Programming Specialization C++ 语言 C++ 语言 AmirKabir University of Technology AP1400-2: Advanced Programming Stanford CS106L: Standard C++ Programming Stanford CS106B/X Java 语言 Java 语言 MIT 6.092: Introduction To Programming In Java Rust 语言 Rust 语言 Stanford CS110L: Safety in Systems Programming KAIST CS431: Concurrent Programming 函数式语言 函数式语言 Cornell CS3110: OCaml Programming Correct + Efficient + Beautiful Haskell MOOC 电子基础 电子基础 EE16AII UCB EE120 : Signal and Systems MIT 6.007 Signals and Systems 数据结构与算法 数据结构与算法 UCB CS61B: Data Structures and Algorithms Coursera: Algorithms I React Native) 数据科学 数据科学 UCB Data100: Principles and Techniques of Data Science 人工智能 人工智能 Harvard CS50's Introduction to AI with Python UCB CS188: Introduction to Artificial Intelligence 机器学习 机器学习 Coursera: Machine Learning Stanford CS229: Machine Learning UCB CS189: Introduction to Machine Learning 机器学习系统 机器学习系统 智能计算系统 CMU 10-414/714: Deep Learning Systems Machine Learning Compilation 深度学习 深度学习 UMich EECS 498-007 / 598-005: Deep Learning for Computer Vision Coursera: Deep Learning 国立台湾大学: 李宏毅机器学习 Stanford CS231n: CNN for Visual Recognition Stanford CS224n: Natural Language Processing Stanford CS224w: Machine Learning with Graphs UCB CS285: Deep Reinforcement Learning 机器学习进阶 机器学习进阶 进阶路线图 CMU 10-708: Probabilistic Graphical Models Columbia STAT 8201: Deep Generative Models U Toronto STA 4273 Winter 2021: Minimizing Expectations Stanford STATS214 / CS229M: Machine Learning Theory 后记 目录 梦开始的地方 —— CS61A 为什么写这本书 自学的好处 自学的坏处 这本书适合谁 特别鸣谢 你也想加入到贡献者的行列 关于交流群的建立 请作者喝杯下午茶 前言</h> |
| <h2>你也想加入到贡献者的行列</h2> |
| <h2>关于交流群的建立</h2> |
| <h2>请作者喝杯下午茶</h2> |
| <h2>特别鸣谢</h2> |
| <h2>自学的坏处</h2> |
| <h2>梦开始的地方 —— CS61A</h2> |
| <h2>为什么写这本书</h2> |
| <h2>自学的好处</h2> |
| <h2>这本书适合谁</h2> |
In SEO, the primary focus is placed on keywords within the content. The title of the page holds the highest importance, followed by heading tags such as h1, h2, and h3. The h1 heading should be the largest on the page, while the h2 heading should be slightly smaller, and the h3 heading even smaller. This hierarchical structure is crucial for optimizing search engine rankings.
What is the issue about?The tag does not have an ALT attribute defined. As a general rule, search engines do not interpret the content of image files. The text provided in the
attribute enables the site owner to provide relevant information to the search engine and to the end user. Alt text is helpful to end users if they have images disabled or if the image does not properly load. In addition, the Alt text is utilized by screen readers. Make sure that your Alt text is descriptive and accurately reflects what the image represents and supports the content on the page.
How to fix?Use the <img alt> attribute to write descriptive content for the image: <img source='pic.gif' alt='Accurate and descriptive keyword text that represents the image.' />.
Website speed is a measurement of how fast the content on your page loads. Website speed is one of many factors involved in the discipline of search engine optimization (SEO), but it is not the only one. In a recent study, the average load time for a web page was 3.21s.
| Term | Search Volume | Traffic | Traffic (%) |
| csdiy | 170 | 0 | 0% |
CoHosted refers to a situation where multiple domain names (websites) are using the same IP address to point to their respective web servers. They could be owned by different individuals or organizations and may serve entirely different purposes.
Total reviews: 2 Average score: 5 stars
The total score is based on reviews found on the following sitesScamadviser: 5/5 stars, 2 reviews
Total reviews: 2 Average score: 5 stars
The total score is based on reviews found on the following sitesScamadviser: 5/5 stars, 2 reviews
