Notes on Randomized Algorithms
Lecture notes for the Yale Computer Science course CPSC 469/569 Randomized Algorithms. Suitable for use as a supplementary text for an introductory graduate or advanced undergraduate course on randomized algorithms. Discusses tools from probability theory, including random variables and expectations, union bound arguments, concentration bounds, applications of martingales and Markov chains, and the Lovasz Local Lemma. Algorithmic topics include analysis of classic randomized algorithms such as Quicksort and Hoare's FIND, randomized tree data structures, hashing, Markov chain Monte Carlo sampling, randomized approximate counting, derandomization, quantum computing, and some examples of randomized distributed algorithms. ...
Lecture notes for the Yale Computer Science course CPSC 469/569 Randomized Algorithms. Suitable for use as a supplementary text for an introductory graduate or advanced undergraduate course on randomized algorithms. Discusses tools from probability theory, including random variables and expectations, union bound arguments, concentration bounds, applications of martingales and Markov chains, and the Lovasz Local Lemma. Algorithmic topics include analysis of classic randomized algorithms such as Quicksort and Hoare's FIND, randomized tree data structures, hashing, Markov chain Monte Carlo sampling, randomized approximate counting, derandomization, quantum computing, and some examples of randomized distributed algorithms. ...
Bash Guide
This guide aims to aid people interested in learning to work with BASH. It aspires to teach good practice techniques for using BASH, and writing simple scripts. This guide is targeted at beginning users. It assumes no advanced knowledge - just the ability to login to a Unix-like system and open a command-line (terminal) interface. It will help if you know how to use a text editor; we will not be covering editors, nor do we endorse any particular editor choice. Familiarity with the fundamental Unix tool set, or with other programming languages or programming concepts, is not required, but those who have such knowledge may understand some of the examples more quickly. ...
This guide aims to aid people interested in learning to work with BASH. It aspires to teach good practice techniques for using BASH, and writing simple scripts. This guide is targeted at beginning users. It assumes no advanced knowledge - just the ability to login to a Unix-like system and open a command-line (terminal) interface. It will help if you know how to use a text editor; we will not be covering editors, nor do we endorse any particular editor choice. Familiarity with the fundamental Unix tool set, or with other programming languages or programming concepts, is not required, but those who have such knowledge may understand some of the examples more quickly. ...
Microsoft Excel Step by Step
This is learning made easy. Get more done, more quickly, with Microsoft Excel. Jump in wherever you need answersbrisk lessons and detailed screenshots show you exactly what to do, step by step. Quickly set up workbooks, enter data, and format it for effective visual impact; Perform calculations and find and correct errors; Manage, filter, summarize, validate, reorder, and combine data; Identify trends, illustrate processes and relationships, and dynamically analyze data; Build sophisticated forecasts, key performance indicators (KPIs), and timelines; Visualize data with customized charts, 3D maps, and other powerful tools; Import, process, summarize, and analyze huge data sets with PowerPivot and Power Query; Use powerful Excel Data Models for advanced business intelligence. ...
This is learning made easy. Get more done, more quickly, with Microsoft Excel. Jump in wherever you need answersbrisk lessons and detailed screenshots show you exactly what to do, step by step. Quickly set up workbooks, enter data, and format it for effective visual impact; Perform calculations and find and correct errors; Manage, filter, summarize, validate, reorder, and combine data; Identify trends, illustrate processes and relationships, and dynamically analyze data; Build sophisticated forecasts, key performance indicators (KPIs), and timelines; Visualize data with customized charts, 3D maps, and other powerful tools; Import, process, summarize, and analyze huge data sets with PowerPivot and Power Query; Use powerful Excel Data Models for advanced business intelligence. ...
Windows Internals, Part 2, 7th Edition
The definitive guide to modern Windows internals: new coverage of virtualization, file systems, boot, security, and more. For advanced computing professionals, this is the definitive up-to-date guide to how Windows core components behave under the hood. Using it, experienced developers can build more powerful and scalable software, administrators can debug complex system and performance problems, and security researchers can harden their systems. This Seventh Edition is fully updated through the May 2021 (21H1/2104) updates to Windows 10 and Windows Server (2022, 2019, and 2016). It adds extensive content on Hyper-V, plus fully rewritten chapters on the boot process, new storage technologies, and Windows system and management mechanisms. As always, it delivers unparalleled insight based on insider access to Microsoft source code, with hands-on experiments using the latest debugging tools to show you Windows internal behaviors firsthand. With Windows 11 introducing new user interface ...
The definitive guide to modern Windows internals: new coverage of virtualization, file systems, boot, security, and more. For advanced computing professionals, this is the definitive up-to-date guide to how Windows core components behave under the hood. Using it, experienced developers can build more powerful and scalable software, administrators can debug complex system and performance problems, and security researchers can harden their systems. This Seventh Edition is fully updated through the May 2021 (21H1/2104) updates to Windows 10 and Windows Server (2022, 2019, and 2016). It adds extensive content on Hyper-V, plus fully rewritten chapters on the boot process, new storage technologies, and Windows system and management mechanisms. As always, it delivers unparalleled insight based on insider access to Microsoft source code, with hands-on experiments using the latest debugging tools to show you Windows internal behaviors firsthand. With Windows 11 introducing new user interface ...
Programming ML.NET
ML.NET brings the power of machine learning to all .NET developers and Programming ML.NET helps you apply it in real production solutions. Modeled on Dino Espositos best-selling Programming ASP.NET, this book takes the same scenario-based approach Microsofts team used to build ML.NET itself. After a foundational overview of ML.NETs libraries, the authors illuminate mini-frameworks (ML Tasks) for regression, classification, ranking, anomaly detection, and more. For each ML Task, they offer insights for overcoming common real-world challenges. Finally, going far beyond shallow learning, the authors thoroughly introduce ML.NET neural networking. They present a complete example application demonstrating advanced Microsoft Azure cognitive services and a handmade custom Keras network showing how to leverage popular Python tools within .NET. 14-time Microsoft MVP Dino Esposito and son Francesco Esposito show how to: Build smarter machine learning solutions that are closer to your users nee ...
ML.NET brings the power of machine learning to all .NET developers and Programming ML.NET helps you apply it in real production solutions. Modeled on Dino Espositos best-selling Programming ASP.NET, this book takes the same scenario-based approach Microsofts team used to build ML.NET itself. After a foundational overview of ML.NETs libraries, the authors illuminate mini-frameworks (ML Tasks) for regression, classification, ranking, anomaly detection, and more. For each ML Task, they offer insights for overcoming common real-world challenges. Finally, going far beyond shallow learning, the authors thoroughly introduce ML.NET neural networking. They present a complete example application demonstrating advanced Microsoft Azure cognitive services and a handmade custom Keras network showing how to leverage popular Python tools within .NET. 14-time Microsoft MVP Dino Esposito and son Francesco Esposito show how to: Build smarter machine learning solutions that are closer to your users nee ...
Intermediate Statistics with R
Introductory statistics courses prepare students to think statistically but cover relatively few statistical methods. Building on the basic statistical thinking emphasized in an introductory course, a second course in statistics at the undergraduate level can explore a large number of statistical methods. This text covers more advanced graphical summaries, One-Way ANOVA with pair-wise comparisons, Two-Way ANOVA, Chi-square testing, and simple and multiple linear regression models. Models with interactions are discussed in the Two-Way ANOVA and multiple linear regression setting with categorical explanatory variables. Randomization-based inferences are used to introduce new parametric distributions and to enhance understanding of what evidence against the null hypothesis "looks like". Throughout, the use of the statistical software R via Rstudio is emphasized with all useful code and data sets provided within the text. ...
Introductory statistics courses prepare students to think statistically but cover relatively few statistical methods. Building on the basic statistical thinking emphasized in an introductory course, a second course in statistics at the undergraduate level can explore a large number of statistical methods. This text covers more advanced graphical summaries, One-Way ANOVA with pair-wise comparisons, Two-Way ANOVA, Chi-square testing, and simple and multiple linear regression models. Models with interactions are discussed in the Two-Way ANOVA and multiple linear regression setting with categorical explanatory variables. Randomization-based inferences are used to introduce new parametric distributions and to enhance understanding of what evidence against the null hypothesis "looks like". Throughout, the use of the statistical software R via Rstudio is emphasized with all useful code and data sets provided within the text. ...
Pro Exchange 2019 and 2016 Administration, 2nd Edition
Use this one-stop resource for both basic and advanced administration of Exchange Server 2019 and 2016. It will help you in running an Exchange environment, whether it be 100% on-premises or a hybrid configuration with Exchange Online (as part of Office 365). This revised version is divided into four sections, describing Exchange infrastructure, upgrading Exchange server, integration with Office 365, and security and compliance. In the first section, you will go through a short introduction of Exchange server followed by its installation and configuration. You will learn client access along with Exchange mailbox and managing Exchange recipients. In the second section, you will learn how to upgrade from Exchange 2010 to 2016 and from 2013 to Exchange 2019. The third section is dedicated to the Exchange integration with Office 365, followed by the last section that teaches you how to secure your Exchange environment and its compliance. After reading this book, you will understand b ...
Use this one-stop resource for both basic and advanced administration of Exchange Server 2019 and 2016. It will help you in running an Exchange environment, whether it be 100% on-premises or a hybrid configuration with Exchange Online (as part of Office 365). This revised version is divided into four sections, describing Exchange infrastructure, upgrading Exchange server, integration with Office 365, and security and compliance. In the first section, you will go through a short introduction of Exchange server followed by its installation and configuration. You will learn client access along with Exchange mailbox and managing Exchange recipients. In the second section, you will learn how to upgrade from Exchange 2010 to 2016 and from 2013 to Exchange 2019. The third section is dedicated to the Exchange integration with Office 365, followed by the last section that teaches you how to secure your Exchange environment and its compliance. After reading this book, you will understand b ...
Cryptography and Cryptanalysis in Java
Here is your in-depth guide to cryptography and cryptanalysis in Java. This book includes challenging cryptographic solutions that are implemented in Java 17 and Jakarta EE 10. It provides a robust introduction to Java 17's new features and updates, a roadmap for Jakarta EE 10 security mechanisms, a unique presentation of the "hot points" (advantages and disadvantages) from the Java Cryptography Architecture (JCA), and more. The book dives into the classical simple cryptosystems that form the basis of modern cryptography, with fully working solutions (encryption/decryption operations). Pseudo-random generators are discussed as well as real-life implementations. Hash functions are covered along with practical cryptanalysis methods and attacks, asymmetric and symmetric encryption systems, signature and identification schemes. The book wraps up with a presentation of lattice-based cryptography and the NTRU framework library. Modern encryption schemes for cloud and big data environme ...
Here is your in-depth guide to cryptography and cryptanalysis in Java. This book includes challenging cryptographic solutions that are implemented in Java 17 and Jakarta EE 10. It provides a robust introduction to Java 17's new features and updates, a roadmap for Jakarta EE 10 security mechanisms, a unique presentation of the "hot points" (advantages and disadvantages) from the Java Cryptography Architecture (JCA), and more. The book dives into the classical simple cryptosystems that form the basis of modern cryptography, with fully working solutions (encryption/decryption operations). Pseudo-random generators are discussed as well as real-life implementations. Hash functions are covered along with practical cryptanalysis methods and attacks, asymmetric and symmetric encryption systems, signature and identification schemes. The book wraps up with a presentation of lattice-based cryptography and the NTRU framework library. Modern encryption schemes for cloud and big data environme ...
Beginning iOS Game Center and GameKit, 2nd Edition
Create fun and polished games and gamify your apps with GameKit and Game Center. This fully updated new edition of Kyle Richter's classic can help you reach new customers through social integrations, multiplayer, and achievements. Quickly add a level of polish to your apps that used to take weeks of hard work and late nights. Implementing a leaderboard and achievement system has never been so simple! Gone are the days of writing and maintaining your own server. You'll also see how to easily add advanced networking concepts like VoIP support in hours, not days. Game Center is heavily pushed and promoted by Apple. By adding Game Center into your game, not only do you gain access to polished and professional features but your app will see a boost in downloads and sharing. Expeditiously implement a plethora of advanced social networking concepts into your apps. Create custom Game Center Manager classes that can be rapidly deployed into any of your new or existing projects. And jump r ...
Create fun and polished games and gamify your apps with GameKit and Game Center. This fully updated new edition of Kyle Richter's classic can help you reach new customers through social integrations, multiplayer, and achievements. Quickly add a level of polish to your apps that used to take weeks of hard work and late nights. Implementing a leaderboard and achievement system has never been so simple! Gone are the days of writing and maintaining your own server. You'll also see how to easily add advanced networking concepts like VoIP support in hours, not days. Game Center is heavily pushed and promoted by Apple. By adding Game Center into your game, not only do you gain access to polished and professional features but your app will see a boost in downloads and sharing. Expeditiously implement a plethora of advanced social networking concepts into your apps. Create custom Game Center Manager classes that can be rapidly deployed into any of your new or existing projects. And jump r ...
Applied Deep Learning with TensorFlow 2, 2nd Edition
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks. All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be opened directly in G ...
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks. All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be opened directly in G ...