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
Cybersecurity, IT, CCNA, Ethical Hacking, Computer network and Fundamental of networking. INTERVI... more Cybersecurity, IT, CCNA, Ethical Hacking, Computer network and Fundamental of networking. INTERVIEW Questions Package for who have stress.
Microsoft, 2014
The 70-414 exam covers advanced topics that IT professionals encounter in the enterprise environm... more The 70-414 exam covers advanced topics that IT professionals encounter in the enterprise environment. Topics such as monitoring, virtualization, and high availability are emphasized in the exam objectives. You should have a thorough understanding of a basic server infrastructure as a prerequisite for this book and the 70-414 exam.
Microsoft, 2014
This book covers the 70-414 certification exam, “Implementing an Advanced Server Infrastructure.”... more This book covers the 70-414 certification exam, “Implementing an Advanced Server Infrastructure.” More specifically, the book examines the second revision, or “R2,” edition of the exam objectives. The book is written for IT professionals who already have experience with Windows networks.
Microsoft, 2014
This domain relates to multi-server features that help selected services and applications remain ... more This domain relates to multi-server features that help selected services and applications remain online and responsive to clients. These features include Network Load Balancing, failover clustering, and the live migration of virtual machines (VMs). Understanding the topics covered in this domain requires a deep understanding of new technologies that
you might not have implemented in your own environment. You should supplement the information in this chapter with some hands-on practice so that you can develop an understanding of how you can use these technologies to address real-world scenarios and solve problems in an advanced server environment.
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.
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.
Cracking the Coding Interview is the result of my first-hand experience interviewing at top compa... more Cracking the Coding Interview is the result of my first-hand experience interviewing at top companies. It is the result of hundreds of conversations with candidates. It is the result of the thousands of candidate- and interviewer- contributed questions. And it’s the result of seeing so many interview questions from so many firms. Enclosed in this book are 150 of the best interview questions, selected from thousands of potential problems.
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.
McGraw Hill, 2007
Java is just beginning its second decade. Unlike many other computer
languages whose influence be... more Java is just beginning its second decade. Unlike many other computer
languages whose influence begins to wane over the years, Java’s has grown stronger
with the passage of time. Java leapt to the forefront of Internet programming with
its first release. Each subsequent version has solidified that position. Today, Java is still the
first and best choice for developing web-based applications.
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.
In recent years arti cial neural networks (ANN) have emerged as a mature and viable
framework wit... more In recent years arti cial neural networks (ANN) have emerged as a mature and viable
framework with many applications in various areas. ANN are mostly applicable wherever
some hard to de ne (exactly) patterns have to be dealt with. \Patterns" are taken here in
the broadest sense, applications and models have been developed from speech recognition to
(stock)market time series prediction with almost anything in between and new ones appear
at a very fast pace.
Copyright © 2010 Mark Lutz. All rights reserved. Printed in Canada. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472.
Python Programming step by step in very good writing. Python is a general-purpose, object-orient... more Python Programming step by step in very good writing. Python is a general-purpose, object-oriented, and open source computer programming language. It is commonly used for both standalone programs and scripting applications in a wide variety of domains, by hundreds of thousands of developers.
Microsoft press
MTCS 70-642 exam
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
you might not have implemented in your own environment. You should supplement the information in this chapter with some hands-on practice so that you can develop an understanding of how you can use these technologies to address real-world scenarios and solve problems in an advanced server environment.
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.
languages whose influence begins to wane over the years, Java’s has grown stronger
with the passage of time. Java leapt to the forefront of Internet programming with
its first release. Each subsequent version has solidified that position. Today, Java is still the
first and best choice for developing web-based applications.
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.
framework with many applications in various areas. ANN are mostly applicable wherever
some hard to de ne (exactly) patterns have to be dealt with. \Patterns" are taken here in
the broadest sense, applications and models have been developed from speech recognition to
(stock)market time series prediction with almost anything in between and new ones appear
at a very fast pace.
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.
you might not have implemented in your own environment. You should supplement the information in this chapter with some hands-on practice so that you can develop an understanding of how you can use these technologies to address real-world scenarios and solve problems in an advanced server environment.
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.
languages whose influence begins to wane over the years, Java’s has grown stronger
with the passage of time. Java leapt to the forefront of Internet programming with
its first release. Each subsequent version has solidified that position. Today, Java is still the
first and best choice for developing web-based applications.
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.
framework with many applications in various areas. ANN are mostly applicable wherever
some hard to de ne (exactly) patterns have to be dealt with. \Patterns" are taken here in
the broadest sense, applications and models have been developed from speech recognition to
(stock)market time series prediction with almost anything in between and new ones appear
at a very fast pace.
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.