80x86/87 Assembly Language Tutorial
This is one of the best Assembly tutorials. It starts at the basics of bits and bytes all the way to wrighting small programs. Once you are finished with this one, you should be able to read and understand the original programmer's manuals from Intel. They contain information about the most recent technologies like MMX, Pentium instructions and so on.
Author(s): NA
NA Pages 
PC Assembly Language by Paul A. Carter
The purpose of this book is to give the reader a better understanding of how computers really work at a lower level than in programming languages like Pascal. By gaining a deeper understanding of how computers work, the reader can often be much more productive developing software in higher level languages such as C and C++. Learning to program in assembly language is an excellent way to achieve this goal.
Author(s): Paul A. Carter
94 Pages
Assembly Language Programming by Richard Pawson
This PDF covers the following topics related to Assembly Language Programming : Fundamentals of assembly language, Introduction to assembly language and ARMlite, Countdown, Matchsticks, Hangman, Indirect & Indexed addressing, The System Stack, and Subroutines, Interrupts, Snake.
Author(s): Richard Pawson, Peter Higginson
79 Pages
Lecture Notes in Assembly Language
The contents include: Before we begin, First program, NASM syntax, Basic CPU instructions, Debugging with GDB, First program linked with a C library, FPU, File operations, MMX, SSE, RDTS, Inline assembler, Introduction,Registers, Memory.
Author(s): Piotr Fulma
252 Pages
Assembly Language Princeton University
The contents include: High Level Languages, Machine Languages, Assembly Languages, Why Learn Assembly Language, Why Learn ARM Assembly Lang, Von Neumann Architecture, Registers and RAM, ALU, Instruction Format, Signed vs Unsigned, 32-bit Arithmetic, 8- and 16-bit Arithmetic, Loads and Stores, Defining Data, Byte Order.
Author(s): Princeton University
57 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
