1 Introduction 2 Probability Distributions 3 Linear Models for Regression 4 Linear Models for Classification 5 Neural Networks 6 Kernel Methods 7 Sparse Kernel Machines 8 Graphical Models 9 Mixture Models and EM 10 Approximate Inference 11 Sampling Methods 12 Continuous Latent Variables 13 Sequential Data 14 Combining Models

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4.1 introduction 4.2 virtual circuit and datagram networks 4.3 what’s inside a router 4.4 IP: Internet Protocol ▪ datagram format ▪ IPv4 addressing ▪ ICMP ▪ IPv6 4.5 routing algorithms ▪ link state ▪ distance vector ▪ hierarchical routing 4.6 routing in the Internet ▪ RIP ▪ OSPF ▪ BGP 4.7 broadcast and multicast routing

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