《统计至简》五折入口:
https://zhuanlan.zhihu.com/p/634253719
《数学要素》五折入口:
https://zhuanlan.zhihu.com/p/620243026
《矩阵力量》五折入口:
https://zhuanlan.zhihu.com/p/634253719
看个人情况,开源资源,永久有效哈。
纠错多的同学会得到赠书,以示感谢。
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
| Date | Stars |
|---|---|
| 2026-07-31 | 3325 |
| 2026-08-03 | 3325 |
| 2026-08-05 | 3329 |
| 2026-08-06 | 3332 |
| 2026-08-07 | 3333 |
| 2026-08-09 | 3333 |
| 2026-08-10 | 3334 |
| 2026-08-11 | 3335 |
| 2026-08-13 | 3336 |
| 2026-08-14 | 3335 |
| 2026-08-15 | 3333 |
| 2026-08-17 | 3333 |
| 2026-08-18 | 3335 |
| 2026-08-19 | 3337 |
| 2026-08-20 | 3336 |
| 2026-08-21 | 3339 |
| 2026-08-23 | 3341 |
| 2026-08-25 | 3342 |
| 2026-08-26 | 3343 |
| 2026-08-27 | 3344 |
| 2026-08-28 | 3347 |
| 2026-08-29 | 3347 |
| 2026-08-30 | 3347 |
| 2026-08-31 | 3347 |
| 2026-09-03 | 3348 |
| 2026-09-04 | 3347 |
| 2026-09-05 | 3350 |
| 2026-09-06 | 3350 |
| 2026-09-07 | 3351 |
| 2026-09-08 | 3352 |
| 2026-09-09 | 3355 |
| 2026-09-10 | 3355 |
| 2026-09-11 | 3356 |
| 2026-09-12 | 3357 |
| 2026-09-13 | 3358 |
| 2026-09-14 | 3359 |
| 2026-09-15 | 3360 |
| 2026-09-16 | 3362 |
| 2026-09-17 | 3364 |
| 2026-09-18 | 3366 |
| 2026-09-19 | 3367 |
| 2026-09-20 | 3370 |
Today
+3 stars today
This week
+12 stars this week
This month
+31 stars this month
Momentum
0.0
growth rate 0.36%/day
《统计至简》五折入口:
https://zhuanlan.zhihu.com/p/634253719
《数学要素》五折入口:
https://zhuanlan.zhihu.com/p/620243026
《矩阵力量》五折入口:
https://zhuanlan.zhihu.com/p/634253719
看个人情况,开源资源,永久有效哈。
纠错多的同学会得到赠书,以示感谢。
Rendered by GitHub from the current README
Read on GitHub149
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a97ef97987bfe10d, llm:Repository description: 'Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习' and topics: baysian, data-science, linear-algebra, machine-learning, machine-learning-algorithms, matrix
matched fp:a97ef97987bfe10d, llm:Repository description: 'Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习' and topics: baysian, data-science, linear-algebra, machine-learning, machine-learning-algorithms, matrix