Machine Learning at Scale VS Devlands
Machine Learning at Scale VS Devlands 对比，Machine Learning at Scale 和 Devlands 有什麼區別？
猜你喜歡
總結
Machine Learning at Scale 總結
Machine learning at scale: Learn about ML systems from top tech companies. Delivered once a week in your inbox.
Machine Learning at Scale 著陸頁
Devlands 總結
Devlands transforms your Git repository into an immersive, 3D game world where you learn Git concepts and commands in a relaxing environment while building the confidence to apply Git in professional projects.
Devlands 著陸頁
比較詳情
Machine Learning at Scale 詳細信息
| 類別 | AI 教學, AI課程, 大型語言模型 LLMs, AI 開發者工具 |
| Machine Learning at Scale 網站 | https://machinelearningatscale.com?utm_source=toolify |
| 添加時間 | 2023年5月22日 |
| Machine Learning at Scale 定價 | -- |
Devlands 詳細信息
| 類別 | AI 教學, AI 程式碼助理, AI遊戲, AI 開發者工具 |
| Devlands 網站 | https://devlands.com?utm_source=toolify |
| 添加時間 | 2025年3月26日 |
| Devlands 定價 | -- |
使用對比
如何使用Machine Learning at Scale？
Subscribe to the Machine Learning at Scale Substack publication to receive weekly insights directly in your inbox. You can also access the archive of past articles on the website and explore resources like the YouTube channel and ML System design course (coming soon).
如何使用Devlands？
Pre-order Devlands to receive a software license key. Upon release in Summer 2025, download and install the game, then activate it using the license key in the game settings. Explore your Git repository in a 3D world, follow the character-guided tutorial, and simulate Git commands to learn.
比較 Machine Learning at Scale 和 Devlands 的優點
Machine Learning at Scale 的核心功能
- Weekly newsletter with high-quality insights
- Deep dives into ML topics
- Tools used by Machine Learning engineers
- ML System design course (coming soon)
- YouTube channel (coming soon)
- Archive of past articles
Devlands 的核心功能
- 3D Git repository visualization
- Character-guided Git tutorial
- Git command simulation
- In-game code viewing and editing
- AI code explanation
比較用例
Machine Learning at Scale 的用例
- Upskilling as a Machine Learning engineer
- Learning about ML systems at scale
- Staying updated on the latest ML tools and techniques
- Understanding ML system design principles
Devlands 的用例
- Learning Git commands and concepts in an engaging way
- Visualizing codebases for better understanding
- Building confidence in using Git for professional projects
Machine Learning at Scale 和 Devlands 之間的計劃不同
Machine Learning at Scale
對不起，沒有數據
Devlands
$37.99
A license key valid for you to run "Devlands: The Gamified Git Interface & Tutorial" on a single device, forever.
$54.99
A license key valid for your whole household to run "Devlands: The Gamified Git Interface & Tutorial" on any number of devices, forever.
$299.99
A license key for educators, valid for up to 10 student seats to use "Devlands: The Gamified Git Interface & Tutorial" in the classroom for 1 year.
Machine Learning at Scale 的流量
Machine Learning at Scale 是月访问量為 1.1K 且平均訪問時長為 00:02:19 的工具。 Machine Learning at Scale 的每次訪問頁數為 2.72，跳出率為 36.41%。
最新網站流量
| 月訪問量 | 1.1K |
| 平均訪問時長 | 00:02:19 |
| 每次訪問頁數 | 2.72 |
| 跳出率 | 36.41% |
Devlands 的流量
Devlands 是月访问量為 0 且平均訪問時長為 00:00:00 的工具。 Devlands 的每次訪問頁數為 0.00，跳出率為 0.00%。
最新網站流量
| 月訪問量 | 0 |
| 平均訪問時長 | 00:00:00 |
| 每次訪問頁數 | 0.00 |
| 跳出率 | 0.00% |
地理流量
The top 3 countries/regions for Machine Learning at Scale are:Italy 40.13%, India 38.28%, Germany 21.59%
Top 3 Countries/regions
 | 40.13% |
 | 38.28% |
 | 21.59% |
地理流量
The top 1 countries/regions for Devlands are:India 100.00%
Top 1 Countries/regions
| 100.00% |
網站流量來源
Machine Learning at Scale 的 6 個主要流量來源是：郵件 0, vs_sourcesGenAi 0, 直接 0, vs_sourcesAffiliate 0, 引薦 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
郵件 | 0 |
vs_sourcesGenAi | 0 |
直接 | 0 |
vs_sourcesAffiliate | 0 |
引薦 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
網站流量來源
Devlands 的 6 個主要流量來源是：郵件 0, vs_sourcesGenAi 0, 直接 0, vs_sourcesAffiliate 0, 引薦 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
郵件 | 0 |
vs_sourcesGenAi | 0 |
直接 | 0 |
vs_sourcesAffiliate | 0 |
引薦 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Machine Learning at Scale 或 Devlands哪個更好？
Machine Learning at Scale 可能比 Devlands 更受歡迎。如您所見，Machine Learning at Scale 每月有 1.1K 次訪問，而 Devlands 每月有 0 次訪問。 所以更多的人選擇Machine Learning at Scale。 因此，人們很可能會在社交平台上更多地推薦 Machine Learning at Scale。
Machine Learning at Scale 的平均訪問持續時間為 00:02:19，而 Devlands 的平均訪問持續時間為 00:00:00。 此外，Machine Learning at Scale 的每次訪問頁面為 2.72，跳出率為 36.41%。 Devlands 的每次訪問頁面為 0.00，跳出率為 0.00%。
Machine Learning at Scale 的主要用戶是Italy, India, Germany，分佈如下：40.13%, 38.28%, 21.59%。
Devlands 的主要用戶是 India，分佈如下：100.00%。
查看其他对比
精選*
