为什么用SDE随机微分方程来描述扩散过程？Why use stochastic differential equations SDEs to describe diffusion processes?
24:46
为什么用SDE随机微分方程来描述扩散过程？Why use stochastic differential equations SDEs to describe diffusion processes?
19 сағат бұрын
【走散后随机乱逛和原地等侯哪个相遇的概率高？Which has a higher probability of meeting after getting separated？】
3:09
【走散后随机乱逛和原地等侯哪个相遇的概率高？Which has a higher probability of meeting after getting separated？】
19 сағат бұрын
【打游戏输一把睡觉和赢一把睡觉,哪个胜率高? Which one has a higher chance of winning?】
4:30
【打游戏输一把睡觉和赢一把睡觉,哪个胜率高? Which one has a higher chance of winning?】
2 сағат бұрын
【人工智能的新数学 The new mathematics of artificial intelligence】
11:33
【人工智能的新数学 The new mathematics of artificial intelligence】
2 сағат бұрын
【出题人试图在考场筛选高斯-高中考拓扑 The test setter tried to screen Gauss in the exam room-Topology in high school】
10:21
【出题人试图在考场筛选高斯-高中考拓扑 The test setter tried to screen Gauss in the exam room-Topology in high school】
4 сағат бұрын
【不小心证明了哥德巴赫猜想咋办？What if I accidentally prove Goldbach's Conjecture?】
8:10
【不小心证明了哥德巴赫猜想咋办？What if I accidentally prove Goldbach's Conjecture?】
4 сағат бұрын
【因果推断的前世今生及各大学派 The Past and Present Life of Causal Inference and Various Schools】
3:23:10
【因果推断的前世今生及各大学派 The Past and Present Life of Causal Inference and Various Schools】
7 сағат бұрын
【薛定谔怎么让大家相信他凑出来的方程？薛定谔方程的第一篇正式论文 How did Schrödinger make people believe the equation he “made up”?】
18:01
【薛定谔怎么让大家相信他凑出来的方程？薛定谔方程的第一篇正式论文 How did Schrödinger make people believe the equation he “made up”?】
9 сағат бұрын
【数论四大定理与其发现简史 The Four Big Theorems of Number Theory and a Brief History of Their Discovery】
16:18
【数论四大定理与其发现简史 The Four Big Theorems of Number Theory and a Brief History of Their Discovery】
9 сағат бұрын
【数值分析:Jacobi和Gauss-Seidel收敛性 Numerical Analysis Quick Course: Jacobi and Gauss-Seidel (second half)】
23:14
【数值分析:Jacobi和Gauss-Seidel收敛性 Numerical Analysis Quick Course: Jacobi and Gauss-Seidel (second half)】
12 сағат бұрын
【数值分析速成:Jacobi和Gauss-Seidel迭代式 Numerical Analysis Quick Course:Jacobi and Gauss-Seidel (first half)】
15:56
【数值分析速成:Jacobi和Gauss-Seidel迭代式 Numerical Analysis Quick Course:Jacobi and Gauss-Seidel (first half)】
12 сағат бұрын
【复盘: 2024年阿里巴巴数学竞赛决赛（应用与计算数学赛道）Replay of Alibaba Math Contest Final】
11:22
【复盘: 2024年阿里巴巴数学竞赛决赛（应用与计算数学赛道）Replay of Alibaba Math Contest Final】
16 сағат бұрын
【如何用集合论的知识玩推箱子？How to use the knowledge of set theory to play Push Box?】
7:33
【如何用集合论的知识玩推箱子？How to use the knowledge of set theory to play Push Box?】
16 сағат бұрын
【统计学习理论，一款适合零成本搞深度学习的大冤种的方向 Statistical learning theory：No cost to do deep learning】
29:23
【统计学习理论，一款适合零成本搞深度学习的大冤种的方向 Statistical learning theory：No cost to do deep learning】
21 сағат бұрын
【数学杂谈：人类的数学理论其实很落后？Human mathematical theories are actually quite backward?】
17:28
【数学杂谈：人类的数学理论其实很落后？Human mathematical theories are actually quite backward?】
21 сағат бұрын
【听说理论界的东西都很伟大？今天简单聊聊深度学习的理论发展 Theory is supreme? The development of deep learning theory】
11:13
【听说理论界的东西都很伟大？今天简单聊聊深度学习的理论发展 Theory is supreme? The development of deep learning theory】
21 сағат бұрын
【P与NP问题】毁灭世界的计算机猜想 P and NP problem
8:06
【P与NP问题】毁灭世界的计算机猜想 P and NP problem
21 сағат бұрын
【快速排序之父】当哲学家决定去当程序员 Quicksort
8:45
【快速排序之父】当哲学家决定去当程序员 Quicksort
21 сағат бұрын
【主成分分析和因子分析 Principal Component Analysis and Factor Analysis】
30:59
【主成分分析和因子分析 Principal Component Analysis and Factor Analysis】
Күн бұрын
【90分钟回归分析全讲 Learn one semester regression analysis in 90 mins】
1:32:46
【90分钟回归分析全讲 Learn one semester regression analysis in 90 mins】
Күн бұрын
【最美数学系列, 一个几乎集成了所有数学分析技巧的极限问题001】
28:14
【最美数学系列, 一个几乎集成了所有数学分析技巧的极限问题001】
Күн бұрын
【通俗统计学原理入门11 第1类错误和第2类错误 Type I error (False Positive) and Type II error (False Negative)】
16:49
【通俗统计学原理入门11 第1类错误和第2类错误 Type I error (False Positive) and Type II error (False Negative)】
Күн бұрын
【通俗统计学原理入门26 单因素方差分析 F分布 F检验 One way ANOVA】
31:25
【通俗统计学原理入门26 单因素方差分析 F分布 F检验 One way ANOVA】
Күн бұрын
【机器学习之数学基础：测度集中！Concentration of Measure】
1:42:20
【机器学习之数学基础：测度集中！Concentration of Measure】
Күн бұрын
【通俗统计学原理入门13区间估计: 置信水平 Interval Estimation:Confidence Level】
11:50
【通俗统计学原理入门13区间估计: 置信水平 Interval Estimation:Confidence Level】
Күн бұрын
【通俗统计学原理入门 20 t检验的终极本质 信噪比 t检验到底是什么? The core of t-test is the signal to noise ratio.】
8:21
【通俗统计学原理入门 20 t检验的终极本质 信噪比 t检验到底是什么? The core of t-test is the signal to noise ratio.】
Күн бұрын
【深度学习里的有趣定理和现象 Introduction to Deep Learning Theory】
1:01:32
【深度学习里的有趣定理和现象 Introduction to Deep Learning Theory】
2 ай бұрын
【计量经济学入门 Econometrics】
23:51
【计量经济学入门 Econometrics】
5 ай бұрын
【用spike和slab做变量选择 EMVS: variable selection via spike and slab】--徐芝兰
1:07:38
【用spike和slab做变量选择 EMVS: variable selection via spike and slab】--徐芝兰
10 ай бұрын
Пікірлер
@lonelysoftamiao6719
@lonelysoftamiao6719 21 сағат бұрын
初等数论一点也不初等，研究生阶段差不多才够入门
@pengli249
@pengli249 2 күн бұрын
期待下一集。加油。
@wghost4737
@wghost4737 5 күн бұрын
物理 数学 的真理，就好像是永远无法到达，只能不断接近。
@ryviusyami
@ryviusyami 6 күн бұрын
同胞，宇宙探索者，真理的朝圣者
@程可夫-b4g
@程可夫-b4g 7 күн бұрын
呃，null是个错误的设计吗？ 如果不用null，用未定义的引用更是会有无法预测的错误，以及调试的难度。 或是还有什么其它可代替的设计方案？
@ziyinwang499
@ziyinwang499 7 күн бұрын
感谢分享，前来学习！
@MiaoQin-m2u
@MiaoQin-m2u 2 ай бұрын
讲的太好了！！！
@kaizhao9920
@kaizhao9920 Жыл бұрын
不用ml用ols的时候 不就是root n convergent了吗 那还有bias么
@QihangXu-d6s
@QihangXu-d6s Жыл бұрын
请问这个是哪个老师的课程哇
@USA_8899
@USA_8899 Жыл бұрын
陈强