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Sharing 15 misc 1 Learning Notes 47 Diary 12 Reading Summary 4 Literature 2
Background Knowledge of Paper Willnump Background Knowledge of Paper Willnump
Paper: Willump Model serving system(MLaaS)机器学习作为一种服务。zhihu 应用实例 Amazon ML平台： 完全自动化 Amazon Sagemaker平台: 内附对数据科学家的有用tips哦！
2020-02-27 Learning Notes
System
Background Knowledge of Paper Privacy-preserving bandits Background Knowledge of Paper Privacy-preserving bandits
Paper: Privacy-preserving bandits 安全计算Secure computationzhihu General idea: there is a function on all of data as the un
2020-02-26 Learning Notes
Security Privacy
PAI7 Reinforcement Learning PAI7 Reinforcement Learning
The data is assumed to be drawn from some distributions. In reinforcement learning, we learn by interacting with environ
2020-01-29 Learning Notes
AI Reinforcement Learning Bayesian
PAI6 Learning PAI6 Learning
So far, we talk about how to use a given model to do some tasks, e.g. inference, planning. But where do these models com
2020-01-28 Learning Notes
AI Reinforcement Learning Bayesian
PAI5 Probabilistic Planning PAI5 Probabilistic Planning
How do we use inference we keep tracking over time in order to act? Markov Decision ProcessAn essential model studied i
2020-01-28 Learning Notes
AI Reinforcement Learning Markov
PAI4 Reasoning over Time PAI4 Reasoning over Time
Before, we talk about static models, which means variables don’t change possible values. For temporal models, in which v
2020-01-28 Learning Notes
AI Reinforcement Learning Bayesian Markov
PAI3 Bayesian Network 2Inference PAI3 Bayesian Network 2Inference
InferenceTypical queries What are these typical queries for? what kinds of typical queries? conditional/marginal query:
2020-01-26 Learning Notes
AI Reinforcement Learning Bayesian
PAI2 Bayesian Network 1Basic PAI2 Bayesian Network 1Basic
Questions why to say the conditional independence is weaker than independence? what are the properties of conditional in
2020-01-23 Learning Notes
AI Reinforcement Learning Bayesian
PAI1 Foundantion PAI1 Foundantion
Fundamental SettingsUse Agent-environment model to represent all tasks. Agenthas a set $A$​ and a function $f$. $A$: th
2020-01-23 Learning Notes
AI Reinforcement Learning Probability Theory
CN14 Time series data on networks CN14 Time series data on networks
Objectives patterns in time series data. Questions when is important to consider network dynamics in the study of dynam
2019-08-14 Learning Notes
Graph Complex System
CN13 Growing network CN13 Growing network
Objectives growth models for complex network feedback in network growth: preferential attachment Questions what is a ma
2019-08-12 Learning Notes
Graph Complex System
CN12 Exponential random graph model CN12 Exponential random graph model
Objectivesusing ERGM model to generate statistical ensembles with arbitrary fixed properties. Questions For which micros
2019-08-09 Learning Notes
Graph Complex System
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