Learning Malware Analysis
Malware analysis and memory forensics are powerful analysis and investigation techniques used in reverse engineering, digital forensics, and incident response. With adversaries becoming sophisticated and carrying out advanced malware attacks on critical infrastructures, data centers, and private and public organizations, detecting, responding to, and investigating such intrusions is critical to information security professionals. Malware analysis and memory forensics have become must-have skills to fight advanced malware, targeted attacks, and security breaches. This book teaches you the concepts, techniques, and tools to understand the behavior and characteristics of malware through malware analysis. It also teaches you techniques to investigate and hunt malware using memory forensics. This book introduces you to the basics of malware analysis, and then gradually progresses into the more advanced concepts of code analysis and memory forensics. It uses real-world malware samples, ...
Malware analysis and memory forensics are powerful analysis and investigation techniques used in reverse engineering, digital forensics, and incident response. With adversaries becoming sophisticated and carrying out advanced malware attacks on critical infrastructures, data centers, and private and public organizations, detecting, responding to, and investigating such intrusions is critical to information security professionals. Malware analysis and memory forensics have become must-have skills to fight advanced malware, targeted attacks, and security breaches. This book teaches you the concepts, techniques, and tools to understand the behavior and characteristics of malware through malware analysis. It also teaches you techniques to investigate and hunt malware using memory forensics. This book introduces you to the basics of malware analysis, and then gradually progresses into the more advanced concepts of code analysis and memory forensics. It uses real-world malware samples, ...
Java Deep Learning Projects
Java is one of the most widely used programming languages. With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts. Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will see how to build several projects using different deep neural network architectures such as multilayer perceptrons, Deep Belief Networks, CNN, LSTM, and Factorization Machines. You will get acquainted with popular deep and machine learning libraries for Java such as Deeplearning4j, Spark ML, and RankSys and you'll be able to use their features to build and deploy projects on distributed computing environments. You will then explore advanced domains such as transfer learning and deep reinforcement learning using the Java ecosystem, covering various real-world domains such as healthcare, NLP, image classification, and multimedia analytics with an easy-to-follow approach. Expe ...
Java is one of the most widely used programming languages. With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts. Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will see how to build several projects using different deep neural network architectures such as multilayer perceptrons, Deep Belief Networks, CNN, LSTM, and Factorization Machines. You will get acquainted with popular deep and machine learning libraries for Java such as Deeplearning4j, Spark ML, and RankSys and you'll be able to use their features to build and deploy projects on distributed computing environments. You will then explore advanced domains such as transfer learning and deep reinforcement learning using the Java ecosystem, covering various real-world domains such as healthcare, NLP, image classification, and multimedia analytics with an easy-to-follow approach. Expe ...
Building Dashboards with Microsoft Dynamics GP 2013 and Excel 2013
Accounting systems like Microsoft Dynamics GP 2013 hold a wealth of information. Excel 2013 provides a great tool for linking to, extracting, analysing, and presenting that rich data to help companies make better, faster, and smarter decisions. Building Dashboards with Microsoft Dynamics GP 2013 and Excel 2013 covers how to get the rich, detailed information contained in Microsoft Dynamics GP 2013 and present it in an attractive, easy-to-understand way using Excel 2013. The book shows in detail how to build great-looking dashboards that enhance a company's decision-making process. ...
Accounting systems like Microsoft Dynamics GP 2013 hold a wealth of information. Excel 2013 provides a great tool for linking to, extracting, analysing, and presenting that rich data to help companies make better, faster, and smarter decisions. Building Dashboards with Microsoft Dynamics GP 2013 and Excel 2013 covers how to get the rich, detailed information contained in Microsoft Dynamics GP 2013 and present it in an attractive, easy-to-understand way using Excel 2013. The book shows in detail how to build great-looking dashboards that enhance a company's decision-making process. ...
F# for C# Developers
Extend your C# skills to F# - and create data-rich computational and parallel software components faster and more efficiently. Focusing on F# 3.0 and Microsoft Visual Studio 2012, you'll learn how to exploit F# features to solve both computationally-complex problems as well as everyday programming tasks. Topics include: C# and F# data structures; F# for functional, object-oriented, and imperative programming; design patterns; type providers; and portable support for Windows 8. You'll examine real-world applications, including Windows 8-style HTML5 and JavaScript apps, along with cloud and service apps. You'll write your own type provider. And you'll see how to expand F# computation power to high-performance GPU computing. ...
Extend your C# skills to F# - and create data-rich computational and parallel software components faster and more efficiently. Focusing on F# 3.0 and Microsoft Visual Studio 2012, you'll learn how to exploit F# features to solve both computationally-complex problems as well as everyday programming tasks. Topics include: C# and F# data structures; F# for functional, object-oriented, and imperative programming; design patterns; type providers; and portable support for Windows 8. You'll examine real-world applications, including Windows 8-style HTML5 and JavaScript apps, along with cloud and service apps. You'll write your own type provider. And you'll see how to expand F# computation power to high-performance GPU computing. ...
The Pragmatist's Guide to Corporate Lean Strategy
Use this practical, step-by-step guide on lean agile strategy to harness technological disruption at your large business to successfully advance your business rather than suffer a loss of business. The lean agile enterprise concept is demystified and translated into action as the author shares his experience with both success and major failure in areas such as healthcare, insurance, major airline, manufacturing, financial services, education, and big data. The author shares the good, the bad, and the ugly of enterprise-level adoption of lean startup practices (what we call a "lean corporation"). The book provides step-by-step instructions specifically targeted to technologists in multiple roles - from CEO to a developer on the ground - on how to build a "lean agile corporation" and avoid common traps. Building on the experience of the "lean startup" framework of Steven Blank and Eric Reis, this book takes these concepts to the enterprise level by providing tips and best practice gui ...
Use this practical, step-by-step guide on lean agile strategy to harness technological disruption at your large business to successfully advance your business rather than suffer a loss of business. The lean agile enterprise concept is demystified and translated into action as the author shares his experience with both success and major failure in areas such as healthcare, insurance, major airline, manufacturing, financial services, education, and big data. The author shares the good, the bad, and the ugly of enterprise-level adoption of lean startup practices (what we call a "lean corporation"). The book provides step-by-step instructions specifically targeted to technologists in multiple roles - from CEO to a developer on the ground - on how to build a "lean agile corporation" and avoid common traps. Building on the experience of the "lean startup" framework of Steven Blank and Eric Reis, this book takes these concepts to the enterprise level by providing tips and best practice gui ...
SQL Primer
Build a core level of competency in SQL so you can recognize the parts of queries and write simple SQL statements. SQL knowledge is essential for anyone involved in programming, data science, and data management. This book covers features of SQL that are standardized and common across most database vendors. You will gain a base of knowledge that will prepare you to go deeper into the specifics of any database product you might encounter. Examples in the book are worked in PostgreSQL and SQLite, but the bulk of the examples are platform agnostic and will work on any database platform supporting SQL. Early in the book you learn about table design, the importance of keys as row identifiers, and essential query operations. You then move into more advanced topics such as grouping and summarizing, creating calculated fields, joining data from multiple tables when it makes business sense to do so, and more. Throughout the book, you are exposed to a set-based approach to the language and ar ...
Build a core level of competency in SQL so you can recognize the parts of queries and write simple SQL statements. SQL knowledge is essential for anyone involved in programming, data science, and data management. This book covers features of SQL that are standardized and common across most database vendors. You will gain a base of knowledge that will prepare you to go deeper into the specifics of any database product you might encounter. Examples in the book are worked in PostgreSQL and SQLite, but the bulk of the examples are platform agnostic and will work on any database platform supporting SQL. Early in the book you learn about table design, the importance of keys as row identifiers, and essential query operations. You then move into more advanced topics such as grouping and summarizing, creating calculated fields, joining data from multiple tables when it makes business sense to do so, and more. Throughout the book, you are exposed to a set-based approach to the language and ar ...
Deep Belief Nets in C++ and CUDA C: Volume 2
Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You'll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2 also covers several algorithms for preprocessing time series and image data. These algorithms focus on the creation of complex-domain predictors that are suitable for input to a complex-domain autoencoder. Finally, you'll learn a method for embedding class information in the input layer of a restricted Boltzmann machine. This facilitates generative display of samples from individual classes rather than the entire data distribution. The ability to see the features that the model has learned for each class separately can be invaluable. At each step this book provides you with intuitive motivation, a summary of the most important equations relevant to the topic, and highly commented code for threaded computatio ...
Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You'll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2 also covers several algorithms for preprocessing time series and image data. These algorithms focus on the creation of complex-domain predictors that are suitable for input to a complex-domain autoencoder. Finally, you'll learn a method for embedding class information in the input layer of a restricted Boltzmann machine. This facilitates generative display of samples from individual classes rather than the entire data distribution. The ability to see the features that the model has learned for each class separately can be invaluable. At each step this book provides you with intuitive motivation, a summary of the most important equations relevant to the topic, and highly commented code for threaded computatio ...
Practical Programming, 2nd Edition
This book is for anyone who wants to understand computer programming. You'll learn to program in a language that' s used in millions of smartphones, tablets, and PCs. You'll code along with the book, writing programs to solve real-world problems as you learn the fundamentals of programming using Python 3. You'll learn about design, algorithms, testing, and debugging, and come away with all the tools you need to produce quality code. In this second edition, we've updated almost all the material, incorporating the lessons we've learned over the past five years of teaching Python to people new to programming. You don't need any programming experience to get started. First, you'll get a detailed introduction to Python and to programming. You'll find out exactly what happens when your programs are executed. Through real-world examples, you'll learn how to work with numbers, text, big data sets, and files. Then you'll see how to create and use your own data types. ...
This book is for anyone who wants to understand computer programming. You'll learn to program in a language that' s used in millions of smartphones, tablets, and PCs. You'll code along with the book, writing programs to solve real-world problems as you learn the fundamentals of programming using Python 3. You'll learn about design, algorithms, testing, and debugging, and come away with all the tools you need to produce quality code. In this second edition, we've updated almost all the material, incorporating the lessons we've learned over the past five years of teaching Python to people new to programming. You don't need any programming experience to get started. First, you'll get a detailed introduction to Python and to programming. You'll find out exactly what happens when your programs are executed. Through real-world examples, you'll learn how to work with numbers, text, big data sets, and files. Then you'll see how to create and use your own data types. ...
Rethinking Enterprise Storage: A Hybrid Cloud Model
Storage is a huge part of the annual IT budget. For many customers it is the largest component of their IT budget. They are willing to over-spend on storage every year because they are conservative about changing the ways they do things. But, they know they have to do some things differently because their old methods don't scale (data growth year to year is the root cause and is unstoppable) There can be extremely negative exposures from downtime if storage goes haywire and customer data is lost. Hybrid cloud storage solutions provide a secure, scalable, and affordable option. ...
Storage is a huge part of the annual IT budget. For many customers it is the largest component of their IT budget. They are willing to over-spend on storage every year because they are conservative about changing the ways they do things. But, they know they have to do some things differently because their old methods don't scale (data growth year to year is the root cause and is unstoppable) There can be extremely negative exposures from downtime if storage goes haywire and customer data is lost. Hybrid cloud storage solutions provide a secure, scalable, and affordable option. ...
Web Information Retrieval
With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. ...
With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. ...