08:06
Internet Computer State Machine Replication
10:32
Internet Computer Consensus
06:33
Abortable Broadcast
05:57
Internet Computer Overview
12:25
Is Bitcoin Secure?
10:50
Local Clock Synchronization
09:53
Clock Synchronization
07:41
Distributed Hash Tables (DHTs)
11:27
Hypercubic Networks
08:35
The Hypercube
08:06
Overlay Networks
10:26
Asynchronous Approximate Agreement
07:23
Approximate Agreement
12:52
Shared Coin for Synchronous Byzantine Agreement
08:03
Fault Tolerant Quorum Systems
07:46
Efficient Quorum Systems
07:31
Quorum Systems
05:34
Shared Coin via Threshold Cryptography
07:44
A Simple Shared Coin
09:27
Shared Coin on a Blackboard
05:52
Random Oracles and Bit Strings
07:48
Fault Tolerant Broadcast
09:48
Reliable Broadcast with Low Communication Complexity
13:31
Reliable Broadcast with Erasure Coding
08:23
Reliable Broadcast
11:28
Asynchronous Byzantine Agreement
09:33
The King Algorithm
09:35
The 3f+1 Bound of Byzantine Agreement
04:50
Byzantine Agreement
10:54
Randomized Consensus
10:41
Consensus in f+1 Rounds
10:36
Impossibility of Consensus
04:26
The Two Generals Problem
09:30
Paxos Explained
07:38
State Replication
06:00
Second Price Auction & Mechanism Design
10:59
Selfish Caching and The Price of Anarchy
07:35
Advanced Topics in Python: Types, Objects, Parameters, Scope and Copying
08:09
Learning the Python Programming Language in 8 Minutes
04:14
Neural Networks Summary
13:04
Computing with Bathroom Tiles
02:17
Computability Summary
07:47
The Post Correspondence Problem (PCP)
07:40
The Turing Machine
05:28
The Halting Problem
03:56
Attention in Neural Networks
03:50
Convolutional Neural Networks
03:42
Recurrent Neural Networks
07:50
Reinforcement Learning
07:21
The Universal Approximation Theorem of Neural Networks
06:12
Decision Trees
06:18
Machine Learning Evaluation
04:37
Machine Learning Summary
05:23
Gradient Descent
09:11
Logistic Regression
04:57
Regularization
05:05
Bias-Variance Tradeoff
06:57
Generalization and Overfitting
05:31
Feature Modeling
07:19
Linear Regression
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About
Computation is everywhere, but what is computation actually? In this video series we will discuss the power and limitations of computation. Computational thinking is about understanding machine intelligence: What is computable, and how efficiently?
Understanding computation lies at the heart of many exciting scientific and social developments. Computational thinking is more than programming a computer -- rather it is thinking in abstractions. Consequently, computational thinking has become a fundamental skill for everyone, not just computer scientists.
This channel explores some of the fundamental computational topics: Algorithms, Complexity, Cryptography, Databases, Machine Learning, Neural Networks, and Computability.
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