Books by ALI MOULAEI NEJAD
Academia.edu, 2022
The main hypothesis is that the blockchain establishes a system of creating a distributed consens... more The main hypothesis is that the blockchain establishes a system of creating a distributed consensus i n the digital online world. This allows participating entities to know for certain that a digital event happened by creating an irrefutable record in a public ledger. I t opens the door for developing a democratic open and scalable digital economy from a centralized one. There are tremendous opportunities in this disruptive technology and revolution in this space has just begun. Post-Quantum Cryptography encompasses a new generation of algorithms for the creation of asymmetric keys that are thought to be resistant to attacks by quantum computers
Microsoft, 2014
Most books take a very low-level approach, teaching you how to use basic concepts to accomplish
f... more Most books take a very low-level approach, teaching you how to use basic concepts to accomplish
fine-grained tasks. Like the Microsoft 70-410 certification exam, this book takes a high-level approach, building on your existing knowledge of lower-level Microsoft Windows system administration and extending it into higher-level server concepts needed for Windows Server 2012 R2.
Abraham Silberschatz Operating System Concepts 9th2012.
Wiley, 2013
An operating system acts as an intermediary between the user of a
computer and the computer hardw... more An operating system acts as an intermediary between the user of a
computer and the computer hardware. The purpose of an operating
system is to provide an environment in which a user can execute
programs in a convenient and efficient manner.
Operating systems are an essential part of any computer system. Similarly, a course on operating ... more Operating systems are an essential part of any computer system. Similarly, a course on operating systems is an essential part of any computer-science education. This field is undergoing change at a breathtakingly rapid rate, as computers are now prevalent in virtually every application, from games for children through the most sophisticated planning tools for governments and multinational firms. Yet the fundamental concepts remain fairly clear, and it is on these that we base this book.
Operating system concepts 10th
Wiley, 2018
Operating systems are an essential part of any computer system. Similarly, a
course on operating ... more Operating systems are an essential part of any computer system. Similarly, a
course on operating systems is an essential part of any computer science education.
This field is undergoing rapid change, as computers are now prevalent
in virtually every arena of day-to-day life—from embedded devices in automobiles
through the most sophisticated planning tools for governments and
multinational firms. Yet the fundamental concepts remain fairly clear, and it is
on these that we base this book.
Pearson, 2020
It is the purpose of this book to provide a practical survey of both the principles and practices... more It is the purpose of this book to provide a practical survey of both the principles and practices of Cyber security, network security and cryptography. In the first two parts of the book, the basic issues to be addressed by a network security capability are explored by providing a tutorial and survey of cryptography and network security technology. The
latter part of the book deals with the practice of Cyber security: practical applications that have been implemented and are in use to provide network security. The subject, and therefore this book, draws on a variety of disciplines.
Academia Eductional , 2020
This Book reviews the literature on artificial neural networks (ANNs) applied to accounting and f... more This Book reviews the literature on artificial neural networks (ANNs) applied to accounting and finance problems and summarizes the ‘suggestions’ from this literature. The first section reviews the basic foundation of ANNs to provide a common basis for further elaboration and suggests criteria that should be used to determine whether the use of an ANN is appropriate. The second section of the book discusses development of ANN models including: selection of the learning algorithm, choice of the error and transfer functions, specification of the architecture, preparation of the data to match the architecture, and training of the network with example and case study.
University of Liège, 2014
Data analysis and machine learning have become an integrative part
of the modern scientific meth... more Data analysis and machine learning have become an integrative part
of the modern scientific methodology, offering automated procedures
for the prediction of a phenomenon based on past observations, unraveling
underlying patterns in data and providing insights about
the problem. Yet, caution should avoid using machine learning as a
black-box tool, but rather consider it as a methodology, with a rational
thought process that is entirely dependent on the problem under
study. In particular, the use of algorithms should ideally require a
reasonable understanding of their mechanisms, properties and limitations,
in order to better apprehend and interpret their results.
Accordingly, the goal of this thesis is to provide an in-depth analysis
of random forests, consistently calling into question each and
every part of the algorithm, in order to shed new light on its learning
capabilities, inner workings and interpretability. The first part of
this work studies the induction of decision trees and the construction
of ensembles of randomized trees, motivating their design and purpose
whenever possible. Our contributions follow with an original
complexity analysis of random forests, showing their good computational
performance and scalability, along with an in-depth discussion
of their implementation details, as contributed within Scikit-Learn.
In the second part of this work, we analyze and discuss the interpretability
of random forests in the eyes of variable importance
measures. The core of our contributions rests in the theoretical characterization
of the Mean Decrease of Impurity variable importance
measure, from which we prove and derive some of its properties in
the case of multiway totally randomized trees and in asymptotic conditions.
In consequence of this work, our analysis demonstrates that
variable importances as computed from non-totally randomized trees
(e.g., standard Random Forest) suffer from a combination of defects,
due to masking effects, misestimations of node impurity or due to
the binary structure of decision trees.
Uploads
Books by ALI MOULAEI NEJAD
fine-grained tasks. Like the Microsoft 70-410 certification exam, this book takes a high-level approach, building on your existing knowledge of lower-level Microsoft Windows system administration and extending it into higher-level server concepts needed for Windows Server 2012 R2.
computer and the computer hardware. The purpose of an operating
system is to provide an environment in which a user can execute
programs in a convenient and efficient manner.
course on operating systems is an essential part of any computer science education.
This field is undergoing rapid change, as computers are now prevalent
in virtually every arena of day-to-day life—from embedded devices in automobiles
through the most sophisticated planning tools for governments and
multinational firms. Yet the fundamental concepts remain fairly clear, and it is
on these that we base this book.
latter part of the book deals with the practice of Cyber security: practical applications that have been implemented and are in use to provide network security. The subject, and therefore this book, draws on a variety of disciplines.
of the modern scientific methodology, offering automated procedures
for the prediction of a phenomenon based on past observations, unraveling
underlying patterns in data and providing insights about
the problem. Yet, caution should avoid using machine learning as a
black-box tool, but rather consider it as a methodology, with a rational
thought process that is entirely dependent on the problem under
study. In particular, the use of algorithms should ideally require a
reasonable understanding of their mechanisms, properties and limitations,
in order to better apprehend and interpret their results.
Accordingly, the goal of this thesis is to provide an in-depth analysis
of random forests, consistently calling into question each and
every part of the algorithm, in order to shed new light on its learning
capabilities, inner workings and interpretability. The first part of
this work studies the induction of decision trees and the construction
of ensembles of randomized trees, motivating their design and purpose
whenever possible. Our contributions follow with an original
complexity analysis of random forests, showing their good computational
performance and scalability, along with an in-depth discussion
of their implementation details, as contributed within Scikit-Learn.
In the second part of this work, we analyze and discuss the interpretability
of random forests in the eyes of variable importance
measures. The core of our contributions rests in the theoretical characterization
of the Mean Decrease of Impurity variable importance
measure, from which we prove and derive some of its properties in
the case of multiway totally randomized trees and in asymptotic conditions.
In consequence of this work, our analysis demonstrates that
variable importances as computed from non-totally randomized trees
(e.g., standard Random Forest) suffer from a combination of defects,
due to masking effects, misestimations of node impurity or due to
the binary structure of decision trees.
fine-grained tasks. Like the Microsoft 70-410 certification exam, this book takes a high-level approach, building on your existing knowledge of lower-level Microsoft Windows system administration and extending it into higher-level server concepts needed for Windows Server 2012 R2.
computer and the computer hardware. The purpose of an operating
system is to provide an environment in which a user can execute
programs in a convenient and efficient manner.
course on operating systems is an essential part of any computer science education.
This field is undergoing rapid change, as computers are now prevalent
in virtually every arena of day-to-day life—from embedded devices in automobiles
through the most sophisticated planning tools for governments and
multinational firms. Yet the fundamental concepts remain fairly clear, and it is
on these that we base this book.
latter part of the book deals with the practice of Cyber security: practical applications that have been implemented and are in use to provide network security. The subject, and therefore this book, draws on a variety of disciplines.
of the modern scientific methodology, offering automated procedures
for the prediction of a phenomenon based on past observations, unraveling
underlying patterns in data and providing insights about
the problem. Yet, caution should avoid using machine learning as a
black-box tool, but rather consider it as a methodology, with a rational
thought process that is entirely dependent on the problem under
study. In particular, the use of algorithms should ideally require a
reasonable understanding of their mechanisms, properties and limitations,
in order to better apprehend and interpret their results.
Accordingly, the goal of this thesis is to provide an in-depth analysis
of random forests, consistently calling into question each and
every part of the algorithm, in order to shed new light on its learning
capabilities, inner workings and interpretability. The first part of
this work studies the induction of decision trees and the construction
of ensembles of randomized trees, motivating their design and purpose
whenever possible. Our contributions follow with an original
complexity analysis of random forests, showing their good computational
performance and scalability, along with an in-depth discussion
of their implementation details, as contributed within Scikit-Learn.
In the second part of this work, we analyze and discuss the interpretability
of random forests in the eyes of variable importance
measures. The core of our contributions rests in the theoretical characterization
of the Mean Decrease of Impurity variable importance
measure, from which we prove and derive some of its properties in
the case of multiway totally randomized trees and in asymptotic conditions.
In consequence of this work, our analysis demonstrates that
variable importances as computed from non-totally randomized trees
(e.g., standard Random Forest) suffer from a combination of defects,
due to masking effects, misestimations of node impurity or due to
the binary structure of decision trees.
Laser light is a form of electromagnetic radiation, but most laser light does not fall in the ionizing section of the spectrum. Lasers are used for a variety of applications throughout the Reed College campus and may cause injury if improperly used.
Therefore a basic knowledge of laser safety is necessary before one uses a laser. Everyone associated with laser operations needs to be aware of the hazards they may encounter. Lasers can cause serious eye injury if a person looks directly into the beam, and even diffuse reflections can blind, burn flesh, ignite flammable materials, and/or activate toxic chemicals. Lasers may also bring hazards associated with high voltage, high pressure, noise, radiation, and toxic gases.