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[Knowledge-based AI] {ud409} Lesson 21: 21 - Configuration
Exercise: Designing a Basement Defining Configuration The Configuration Process left top: task right bottom: solution task v1 Configuration Space > so ...
分类:其他好文   时间:2019-06-07 00:59:23    阅读次数:117
[Knowledge-based AI] {ud409} Lesson 19: 19 - Version Spaces
Optional reading: Winston Chapter 20 Incremental Concept Learning Revisited Abstract Version Spaces Visualizing Version Spaces converge model is thre ...
分类:其他好文   时间:2019-06-06 13:55:12    阅读次数:109
[Knowledge-based AI] {ud409} Lesson 13: 13 - Planning
Block Problem Revisited Painting a Ceiling States Optional Reading: Winston Chapter 15, pages 323-336 Operators Planning and State Spaces plan: Planni ...
分类:其他好文   时间:2019-06-06 09:30:19    阅读次数:132
[Knowledge-based AI] {ud409} Lesson 12: 12 - Logic
Why do we need formal logic? Inferences About Birds Winston Chapter 13: Page 284 Exercise: Inferences About Foos Predicates Conjunctions and Disjuncti ...
分类:其他好文   时间:2019-06-06 09:20:21    阅读次数:104
[Knowledge-based AI] {ud409} Lesson 2: 02 - Introduction to CS7637
Optional Readings : Introduction to Computational Psychometrics Putting Online Learning and Learning Sciences Together: https://www.youtube.com/watch? ...
分类:其他好文   时间:2019-06-05 12:37:15    阅读次数:107
[Machine Learning for Trading] {ud501} Lesson 23: 03-03 Assessing a learning algorithm | Lesson 24: 03-04 Ensemble learners, bagging and boosting
A closer look at KNN solutions What happens as K varies What happens as D varies Metric 1 RMS Error In Sample vs out of sample Which is worse? Cross v ...
分类:系统相关   时间:2019-06-05 09:55:41    阅读次数:138
[Machine Learning for Trading] {ud501} Lesson 21: 03-01 How Machine Learning is used at a hedge fund | Lesson 22: 03-02 Regression
a data-centric way to build predictive models The ML problem Supervised regression learning Robot navigation example How it works with stock data Exam ...
分类:系统相关   时间:2019-06-05 09:42:34    阅读次数:137
[Machine Learning for Trading] {ud501} Lesson 19: 02-09 The Fundamental Law of active portfolio management | Lesson 20: 02-10 Portfolio optimization and the efficient frontier
this lesson => Buffet said two things => (1) investor skill => (2) breadth / the number of investments Grinold's Fundamental Law breadth => more oppor ...
分类:系统相关   时间:2019-06-05 09:39:21    阅读次数:148
[Machine Learning for Trading] {ud501} Lesson 25: 03-05 Reinforcement learning | Lesson 26: 03-06 Q-Learning | Lesson 27: 03-07 Dyna
The RL problem Trading as an RL problem Mapping trading to RL Markov decision problems Unknown transitions and rewards What to optimize? Learning Proc ...
分类:系统相关   时间:2019-06-05 09:32:19    阅读次数:174
[Machine Learning for Trading] {ud501} Lesson 9: 01-08 Optimizers: Building a parameterized model | Lesson 10: 01-09 Optimizers: How to optimize a portfolio
What is an optimizer? Minimization example How to defeat a minimizer Convex problems Building a parameterized model Minimizer finds coefficients What ...
分类:系统相关   时间:2019-06-04 12:53:45    阅读次数:141
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