|
5 | 5 | **致力于分享最新最全面的机器学习资料,欢迎你成为贡献者!** |
6 | 6 |
|
7 | 7 |
|
| 8 | +**[深度学习最值得看的论文](http://www.dlworld.cn/YeJieDongTai/4385.html)** |
| 9 | + |
8 | 10 |
|
9 | 11 | **[Machine learning surveys](https://github.com/metrofun/machine-learning-surveys/)** |
10 | 12 |
|
|
276 | 278 |
|
277 | 279 | - 机器学习:实用案例解析 (O'Reilly精品图书系 |
278 | 280 |
|
279 | | -- [数学](https://mega.nz/#F!LQJGQZgZ!DTSHGKRas-XDEOHYavpghw): |
280 | | - |
281 | | - - Mathematical Analysis I by Vladimir A. Zorich |
282 | | - |
283 | | - - Mathematical Analysis II by Vladimir A. Zorich |
284 | | - |
285 | | - - Thomas' Calculus by George B. Thomas |
286 | | - |
287 | | - - 普林斯顿微积分读本 by Adrian Banner |
288 | | - |
289 | | - - Linear Algebra and Its Applications by Gilbert Strang |
290 | | - |
291 | | - - The matrix cookbook by Kaare Brandt Petersen & Michael Syskind Pedersen |
292 | | - |
293 | | - - Probability: Theory and Examples by Rick Durrett |
294 | | - |
295 | | - - Probabilistic Graphical Models: Principles and Techniques by Daphne Koller & Nir Friedman |
296 | | - |
297 | | - - Functional Analysis by Walter Rudin |
298 | | - |
299 | | - - Functional Analysis, Sobolev Spaces and Partial Differential Equations by Haim Brezis |
300 | | - |
301 | | - - Linear and Nonlinear Functional Analysis with Applications by Philippe G. Ciarlet |
302 | | - |
303 | | - - Convex Optimization by Stephen Boyd & Lieven Vandenberghe |
304 | | - |
305 | | - - Graph Theory by Reinhard Diestel |
306 | | - |
307 | | - - Graph Theory by J.A. Bondy & U.S.R. Murty |
308 | | - |
| 281 | +- [数学](https://mega.nz/#F!LQJGQZgZ!DTSHGKRas-XDEOHYavpghw): |
| 282 | + |
| 283 | + - Mathematical Analysis I by Vladimir A. Zorich |
| 284 | + |
| 285 | + - Mathematical Analysis II by Vladimir A. Zorich |
| 286 | + |
| 287 | + - Thomas' Calculus by George B. Thomas |
| 288 | + |
| 289 | + - 普林斯顿微积分读本 by Adrian Banner |
| 290 | + |
| 291 | + - Linear Algebra and Its Applications by Gilbert Strang |
| 292 | + |
| 293 | + - The matrix cookbook by Kaare Brandt Petersen & Michael Syskind Pedersen |
| 294 | + |
| 295 | + - Probability: Theory and Examples by Rick Durrett |
| 296 | + |
| 297 | + - Probabilistic Graphical Models: Principles and Techniques by Daphne Koller & Nir Friedman |
| 298 | + |
| 299 | + - Functional Analysis by Walter Rudin |
| 300 | + |
| 301 | + - Functional Analysis, Sobolev Spaces and Partial Differential Equations by Haim Brezis |
| 302 | + |
| 303 | + - Linear and Nonlinear Functional Analysis with Applications by Philippe G. Ciarlet |
| 304 | + |
| 305 | + - Convex Optimization by Stephen Boyd & Lieven Vandenberghe |
| 306 | + |
| 307 | + - Graph Theory by Reinhard Diestel |
| 308 | + |
| 309 | + - Graph Theory by J.A. Bondy & U.S.R. Murty |
| 310 | + |
309 | 311 | - Mathematics for Computer Science by Eric Lehman & F Thomson Leighton & Alber R Meyer |
310 | 312 |
|
311 | 313 | - [Packt每日限免电子书精选](http://ddl.escience.cn/f/IS4a): |
|
390 | 392 |
|
391 | 393 |
|
392 | 394 |
|
393 | | - |
394 | | - |
| 395 | + |
| 396 | + |
0 commit comments