Data Science | ML | AI Resources
前往频道在 Telegram
Data Science community is built for Data Science Aspirants who wish to start their journey into the field Data Science. Download Free PDFs, Courses & Internships and Jobs related to Data Science and Machine Learning!
显示更多未指定国家未指定类别
7 903
订阅者
-424 小时
-267 天
-5530 天
正在加载数据
![ML - DS/DA/DE - AI [Jobs, InterviewPrep] 🇮🇳](https://cdn.tlmtr.io/_next/image?url=https%3A%2F%2Fimg.telemetr.io%2Fc%2F1ndYNE%2F6334477463798355529%3Fty%3Dx&w=96&q=75){kind=small}
吸引订阅者
十月 '2610月 '26
十月 '26
+1 697
在0个频道中
九月 '260
在0个频道中
Get PRO
八月 '260
在0个频道中
Get PRO
七月 '260
在0个频道中
Get PRO
六月 '260
在1个频道中
Get PRO
五月 '260
在1个频道中
Get PRO
四月 '260
在0个频道中
Get PRO
三月 '260
在0个频道中
Get PRO
二月 '260
在0个频道中
Get PRO
一月 '260
在0个频道中
Get PRO
十二月 '250
在0个频道中
Get PRO
十一月 '250
在0个频道中
Get PRO
十月 '250
在0个频道中
Get PRO
九月 '250
在0个频道中
Get PRO
八月 '250
在0个频道中
Get PRO
七月 '250
在0个频道中
Get PRO
六月 '250
在0个频道中
Get PRO
五月 '250
在0个频道中
Get PRO
四月 '250
在0个频道中
Get PRO
三月 '250
在0个频道中
Get PRO
二月 '250
在0个频道中
Get PRO
一月 '250
在0个频道中
Get PRO
十二月 '24
+1
在0个频道中
Get PRO
十一月 '24
+2
在0个频道中
Get PRO
十月 '24
+5
在0个频道中
Get PRO
九月 '240
在0个频道中
Get PRO
八月 '24
+3
在0个频道中
Get PRO
七月 '24
+1
在0个频道中
Get PRO
六月 '240
在0个频道中
Get PRO
五月 '240
在0个频道中
Get PRO
四月 '240
在0个频道中
Get PRO
三月 '24
+4
在0个频道中
Get PRO
二月 '240
在0个频道中
Get PRO
一月 '240
在0个频道中
Get PRO
十二月 '230
在0个频道中
Get PRO
十一月 '230
在0个频道中
Get PRO
十月 '23
+27
在0个频道中
Get PRO
九月 '23
+38
在0个频道中
Get PRO
八月 '23
+51
在0个频道中
Get PRO
七月 '23
+61
在0个频道中
Get PRO
六月 '23
+59
在0个频道中
Get PRO
五月 '23
+56
在0个频道中
Get PRO
四月 '23
+40
在0个频道中
Get PRO
三月 '23
+52
在0个频道中
Get PRO
二月 '23
+40
在0个频道中
Get PRO
一月 '23
+8 052
在0个频道中
| 日期 | 订阅者增长 | 提及 | 频道 | |
| 26 十月 | 0 | |||
| 25 十月 | +3 | |||
| 24 十月 | 0 | |||
| 23 十月 | 0 | |||
| 22 十月 | 0 | |||
| 21 十月 | 0 | |||
| 20 十月 | 0 | |||
| 19 十月 | 0 | |||
| 18 十月 | +1 | |||
| 17 十月 | +1 | |||
| 16 十月 | +1 | |||
| 15 十月 | +2 | |||
| 14 十月 | 0 | |||
| 13 十月 | +1 | |||
| 12 十月 | +1 | |||
| 11 十月 | +1 | |||
| 10 十月 | +1 |
频道帖子
| 2 |  🚀 5 Unsupervised Machine Learning Algorithms You Should Know! 👇
https://www.instagram.com/reel/De52nqGSTSg/?rpxt=anpmenFob25kNjIz | 131 |
| 3 | Unsupervised Machine Learning Algorithms Complete Guide 👆 | 159 |
| 4 | 5 Most Important Unsupervised Machine Learning Algorithms You Should Know 👆 | 158 |
| 5 |  没有文字... | 150 |
| 6 | Asked in an Uber AI/ML Engineer interview 👇
Uber’s AI predicts that ride demand in a particular area will increase significantly in the next 20 minutes. How would you design an AI system that predicts demand and proactively moves drivers to that area?
Prediction is the easy half. The value is in the allocation, and most candidates stop before they get there.
1. Forecast both sides, per cell per bucket
- H3 hexagons × 5-minute buckets, forecasting rides requested and drivers available
- Features: the same hour last week, weather, events, traffic, and live app-open sessions
- Short horizons need current state; long horizons need seasonality
2. What matters is the gap
- Rank cells by expected unmet demand, which is demand minus reachable supply
- A surging cell that already has forty idle drivers needs nothing from you
3. Turn the forecast into assignments
- For each driver, the expected value of moving versus staying, minus travel time and fuel
- Solve it as min-cost flow across drivers and cells, not as a greedy nudge per driver
- Greedy sends everyone to the same hex and creates the opposite problem
4. Drivers are people, not units of supply
- Incentives and heatmaps, never orders — model the probability they accept
- Respect end-of-shift, home direction and rest; an ignored nudge is worse than none
5. Do not stampede
- Move a fraction of the nearby drivers, then re-solve a few minutes later
- Closed-loop correction beats one confident dispatch
6. Evaluate on the marketplace
- Geo-based A/B tests, because moving drivers changes the outcome for everyone in the city
- Track unfulfilled requests, pickup ETA and driver earnings per hour together
The principle: A demand forecast is only worth what the allocation on top of it earns. Optimise the assignment, not the RMSE.
💬 Incentives or dispatch — which moves drivers better in your experience? | 169 |
| 7 | Never Sit in AI Interview before knowing these concepts👆 | 205 |
| 8 |  没有文字... | 224 |
| 9 |  没有文字... | 269 |
| 10 |  没有文字... | 291 |
| 11 | Complete Machine Learning Engineer Roadmap - Download👆 | 289 |
| 12 |  🚀 Follow this roadmap to become a Machine Learning Engineer in 2026👇
https://www.instagram.com/reel/Des_6UOSplh/?exln=MWJvaXoxY2wxY3VpdA== | 302 |
| 13 | Complete Machine Learning Engineer Roadmap and Resources👇️️ | 290 |
| 14 |  没有文字... | 300 |
| 15 |  没有文字... | 329 |
| 16 |  没有文字... | 288 |
| 17 | 🚀 STOP SCROLLING! These websites can level up your career in 2026 💻
Looking for a job? Want to build a standout resume or portfolio? Need to sharpen your technical skills?
Bookmark these FREE & useful resources! 👇 | 280 |
| 18 |  https://www.instagram.com/reel/Delb4KugDTd/?psln=dXljM3g5NG1nNjRv | 314 |
| 19 | 8 Model Evaluation Techniques in Machine Learning 👆 | 282 |
| 20 |  没有文字... | 323 |
