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CS
Blacad Docs
Blacad/blog
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CS
CS
CS61A
CS61A
L1 Welcome
L2 Functions
L3 Control
L4 Higher Order Function
L5 Environments
L6 Sounds
L7 Function Abstract
L8 Function Example
L9 Recursion
L10 Tree Recursion
L11 Sequences
L12 Containers
L13 Data Abstraction
L14 Trees
L15 Mutability
L16 Iterators
L17 Generators
L18 Objects
L19 Class Attributes
L20 Inheritance
L21 Representations
L22 Composition
L23 Efficiency
L24 Decomposition
L25 Data Example
L28 Scheme
L29 Scheme Lists
L30 Calculator
L31 Interpreters
L32 Tail Calls
L33 Programs as Data
L34 Macros
L35 SQL
L36 Tables
L37 Aggregation
L38 Database
L39 思考解决问题
Hog
Cats
Ants
Scheme
Note
CS70
CS70
Note10 Counting
Note11 Countability
Note12 Computability
Note13 Discrete Probability
Note14 Conditional Probability
Note15 RV
Note16 RV
Note17 Concentration Inequalities and the Laws of Large Numbers
Note18 Hashing and Load Balance
Note19 Geometric and Poisson Distributions
Note20 Continuous Probability Distribution
Note21 Markov Chains
不完备补充
限与界
CS188
CS188
L1 Introduction
L2 Search
L3 Informed Search
L4 Local Search
L5 Games
L6 Uncertainty
L7 Logic
L8 Propositional Logic
L9 First Order Logic
L10 Probability
L11 Bayes Nets
L12 Bayes Nets Exact Inference
L13 Bayes Nets Approximate Inference
L14 Markov Models
L15 HMMS
L16 Dynamic Bayes Nets and Particle Filters
L17 Rational Decisions
L18 Markov Decision Process
L19 MDP II
L20 ML I
L21 ML II
L22 ML III
L23 ML IV
L24 RL I
L25 RL II
L26 RL III
拓展课 I AI Existential Safety(RL)
拓展课 II LLM
L1 Welcome
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