Digital and Optimal Control: Discretization In the previous lecture. . . We Discussed the importance of z-transforms for analyzing discrete-time systems Derived and used the properties of z-t...

Supervised Machine Learning Lecture 3: Learning with infinite hypothesis classes Recall: PAC learnability A class 𝐶 is PAC-learnable, if there exist an algorithm 𝒜 that given a training s...

Embedded Real-Time Systems 2 Essentials of processor architecture Agenda Motivation Von Neuman Architecture and its elements CPU elements and instruction processing Inputs and Outputs ma...

Supervised Machine Learning 2 4 small error high probability first important fomula start point

Supervised Machine Learning 1 Introduction Understanding machine learning For a professional machine learning engineer / data scientist, it is useful to go beyond using machine learning tools as ...

Unit 2: Wireless Channel (Lecture 3)

Embedded Real Time Systems Lecture 01 Introduction to real-time system concepts Agenda Glossary Deadlines, punctuality, and events CPU utilization Common myths and issues Essential Que...

ELEC-E8101: Digital and Optimal Control 2 Analysis of discrete-time systems using z-transforms In the previous lecture. . . We Discussed the importance of feedback control Listed, advantages...

Introduction Overview 3 types of ML Supervised learning Classification Regression Unsupervised learning Clustering Scatter plot ...

Wireless Systems 2 Cellular concept and architecture of a mobile network stand alone PPT is wrong Wireless System Frequency band of operation Transmission Power (order ...