Machine Learning Practice Lectures
This lecture note covers the following topics: Server Configuration, Python Overview, Pandas and Numpy, Classifiers, Regression, Cross-Validation, Logistic Regression, Support Vector Machines, Decision Trees, Ensemble Methods, Principal Component Analysis, Embedding Methods, Clustering, Semi-Supervised Learning.
Author(s): Andrew H. Fagg
NA Pages 
IBM PC Assembly Language Lecture Notes
This lecture note covers essential topics such as system architecture, assembly processes, DOS file operations, debugging, and Intel 8088 CPU registers, the course emphasizes hands-on learning with practical assignments. The content explores addressing modes, ASCII representation, system calls, segments, logical instructions, and graphics programming. These notes serve as a valuable resource for students seeking proficiency in low-level programming and hardware interfacing on the IBM PC.
Author(s): NA
361 Pages
MIPS Assembly Language Programming by Robert Britton
This PDF book covers the following topics related to MIPS Assembly Language Programming : The MIPS Architecture, Pseudocode, Number Systems, PCSpim The MIPS Simulator, Algorithm Development, Reentrant Functions, Exception Processing, A Pipelined Implementation, Embedded Processors.
Author(s): Computer Science Department, California State University, Chico, California
109 Pages
Introducing ARM assembly language
This page covers the following topics related to ARM assembly language :ISA varieties, ARM assembly basics, A simple program: Adding numbers, Another example: Hailstone sequence, Another example: Adding digits, Summary of instructions so far, Condition codes, Basic memory instructions, Addressing modes, Initializing memory, Multiple-register memory instructions.
Author(s): Carl Burch, Hendrix College
NA Pages
Lecture Notes in Assembly Language by Piotr Fulmanski
This note explains the following topics: Simple assembler, Pre-x86 age &
Author(s): Piotr Fulmanski
148 Pages
Machine Learning Practice Lectures
This lecture note covers the following topics: Server Configuration, Python Overview, Pandas and Numpy, Classifiers, Regression, Cross-Validation, Logistic Regression, Support Vector Machines, Decision Trees, Ensemble Methods, Principal Component Analysis, Embedding Methods, Clustering, Semi-Supervised Learning.
Author(s): Andrew H. Fagg
NA Pages
Linux Assembly Language Programming
This note explains the following topics: Introduction to Linux Assembly Language, x86 architecture, 64-bit x86 Assembly, ARM Assembly language, ARM Thumb, 8-bit 6502 or 16-bit 65c816 Programming, Video Game Programming and Assembly Code Optimization.
Author(s): Vince Weaver
NA Pages
