Think Data Structures
If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering - data structures and algorithms - in a way that's clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You'll explore the important classes in the Java collections framework (JCF), how they're implemented, and how they're expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work; Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree; Analyze code to predict how fast it will run and how much memory it will ...
If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering - data structures and algorithms - in a way that's clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You'll explore the important classes in the Java collections framework (JCF), how they're implemented, and how they're expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work; Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree; Analyze code to predict how fast it will run and how much memory it will ...
Building Probabilistic Graphical Models with Python
With the increasing prominence in machine learning and data science applications, probabilistic graphical models are a new tool that machine learning users can use to discover and analyze structures in complex problems. The variety of tools and algorithms under the PGM framework extend to many domains such as natural language processing, speech processing, image processing, and disease diagnosis. You've probably heard of graphical models before, and you're keen to try out new landscapes in the machine learning area. This book gives you enough background information to get started on graphical models, while keeping the math to a minimum. ...
With the increasing prominence in machine learning and data science applications, probabilistic graphical models are a new tool that machine learning users can use to discover and analyze structures in complex problems. The variety of tools and algorithms under the PGM framework extend to many domains such as natural language processing, speech processing, image processing, and disease diagnosis. You've probably heard of graphical models before, and you're keen to try out new landscapes in the machine learning area. This book gives you enough background information to get started on graphical models, while keeping the math to a minimum. ...
Mastering Probabilistic Graphical Models Using Python
Probabilistic graphical models is a technique in machine learning that uses the concepts of graph theory to concisely represent and optimally predict values in our data problems. Graphical models gives us techniques to find complex patterns in the data and are widely used in the field of speech recognition, information extraction, image segmentation, and modeling gene regulatory networks. This book starts with the basics of probability theory and graph theory, then goes on to discuss various models and inference algorithms. All the different types of models are discussed along with code examples to create and modify them, and also run different inference algorithms on them. There is an entire chapter that goes on to cover Naive Bayes model and Hidden Markov models. These models have been thoroughly discussed using real-world examples. ...
Probabilistic graphical models is a technique in machine learning that uses the concepts of graph theory to concisely represent and optimally predict values in our data problems. Graphical models gives us techniques to find complex patterns in the data and are widely used in the field of speech recognition, information extraction, image segmentation, and modeling gene regulatory networks. This book starts with the basics of probability theory and graph theory, then goes on to discuss various models and inference algorithms. All the different types of models are discussed along with code examples to create and modify them, and also run different inference algorithms on them. There is an entire chapter that goes on to cover Naive Bayes model and Hidden Markov models. These models have been thoroughly discussed using real-world examples. ...
Plug-In PHP: 100 Power Solutions
This practical guide gives you 100 ready-to-run PHP functions for solving most of the main problems you encounter when building a dynamic website with PHP. Every plug-in in the book offers a complete and working solution for a result you can achieve right away, using ready-made code you simply drop into your own program. And there's little or no learning curve, because each one is self-contained and thoroughly documented. ...
This practical guide gives you 100 ready-to-run PHP functions for solving most of the main problems you encounter when building a dynamic website with PHP. Every plug-in in the book offers a complete and working solution for a result you can achieve right away, using ready-made code you simply drop into your own program. And there's little or no learning curve, because each one is self-contained and thoroughly documented. ...
Development with the Force.com Platform, 2nd Edition
Using Force.com, you can build enterprise applications with world-class value, scalability, and reliability - and do it in days or weeks, not months or years. In this book, top Force.com developer Jason Ouellette offers all the technical guidance and sample code you'll need to get outstanding results with the newest version of Force.com. Drawing on his experience building three of the world's top ten Force.com applications, Jason Ouellette walks you through the entire project lifecycle, from identifying potential applications to prototyping, coding, and deployment. Throughout, he offers practical insights you won't find in Salesforce.com's documentation - or anywhere else. ...
Using Force.com, you can build enterprise applications with world-class value, scalability, and reliability - and do it in days or weeks, not months or years. In this book, top Force.com developer Jason Ouellette offers all the technical guidance and sample code you'll need to get outstanding results with the newest version of Force.com. Drawing on his experience building three of the world's top ten Force.com applications, Jason Ouellette walks you through the entire project lifecycle, from identifying potential applications to prototyping, coding, and deployment. Throughout, he offers practical insights you won't find in Salesforce.com's documentation - or anywhere else. ...
Anti-Money Laundering in a Nutshell
Anti–Money Laundering in a Nutshellis a concise, accessible, and practical guide to compliance with anti–money laundering law for financial professionals, corporate investigators, business managers, and all personnel of financial institutions who are required, under penalty of hefty fines, to get anti–money laundering training. Money laundering is endemic. As much as 5 percent of global GDP ($3.6 trillion) is laundered by criminals each year. It's no wonder that every financial institution in the United States—including banks, credit card companies, insurers, securities brokerages, private funds, and money service businesses—must comply with complex examination, training, and reporting requirements mandated by a welter of federal anti–money laundering (AML) laws. Ignorance of crime is no excuse before the law. Financial institutions and businesses that unknowingly serve as conduits for money laundering are no less liable to prosecution and fines than those that condone o ...
Anti–Money Laundering in a Nutshellis a concise, accessible, and practical guide to compliance with anti–money laundering law for financial professionals, corporate investigators, business managers, and all personnel of financial institutions who are required, under penalty of hefty fines, to get anti–money laundering training. Money laundering is endemic. As much as 5 percent of global GDP ($3.6 trillion) is laundered by criminals each year. It's no wonder that every financial institution in the United States—including banks, credit card companies, insurers, securities brokerages, private funds, and money service businesses—must comply with complex examination, training, and reporting requirements mandated by a welter of federal anti–money laundering (AML) laws. Ignorance of crime is no excuse before the law. Financial institutions and businesses that unknowingly serve as conduits for money laundering are no less liable to prosecution and fines than those that condone o ...
UX for Beginners
Apps! Websites! Rubber Ducks! Naked Ninjas! This book has everything. If you want to get started in user experience design (UX), you've come to the right place: 100 self-contained lessons that cover the whole spectrum of fundamentals. Forget dry, technical material. This book - based on the wildly popular UX Crash Course from Joel Marsh's blog The Hipper Element - is laced with the author's snarky brand of humor, and teaches UX in a simple, practical way. Becoming a professional doesn't have to be boring. Follow the real-life UX process from start-to-finish and apply the skills as you learn, or refresh your memory before the next meeting. UX for Beginners is perfect for non-designers who want to become designers, managers who teach UX, and programmers, salespeople, or marketers who want to learn more. Start from scratch: the fundamentals of UX; Research the weird and wonderful things users do; The process and science of making anything user-friendly; Use size, color, and layout to h ...
Apps! Websites! Rubber Ducks! Naked Ninjas! This book has everything. If you want to get started in user experience design (UX), you've come to the right place: 100 self-contained lessons that cover the whole spectrum of fundamentals. Forget dry, technical material. This book - based on the wildly popular UX Crash Course from Joel Marsh's blog The Hipper Element - is laced with the author's snarky brand of humor, and teaches UX in a simple, practical way. Becoming a professional doesn't have to be boring. Follow the real-life UX process from start-to-finish and apply the skills as you learn, or refresh your memory before the next meeting. UX for Beginners is perfect for non-designers who want to become designers, managers who teach UX, and programmers, salespeople, or marketers who want to learn more. Start from scratch: the fundamentals of UX; Research the weird and wonderful things users do; The process and science of making anything user-friendly; Use size, color, and layout to h ...
Assessing and Improving Prediction and Classification
Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting. This book presents many important techniques for building powerful, robust models and quantifying their expected behavior when put to work in your application. Considerable attention is given to information theory, especially as it relates to discovering and exploiting relationships between variables employed by your models. This presentation of an often confusing subject avoids advanced mathematics, focusing instead on concepts easily understood by those with modest background in mathematics. All algorithms include an intuitive explanation of operation, essential equations, references to more rigorous theory, and commented C++ source code. Many of these techniques are recent developments, still not in widesprea ...
Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting. This book presents many important techniques for building powerful, robust models and quantifying their expected behavior when put to work in your application. Considerable attention is given to information theory, especially as it relates to discovering and exploiting relationships between variables employed by your models. This presentation of an often confusing subject avoids advanced mathematics, focusing instead on concepts easily understood by those with modest background in mathematics. All algorithms include an intuitive explanation of operation, essential equations, references to more rigorous theory, and commented C++ source code. Many of these techniques are recent developments, still not in widesprea ...
Pro Deep Learning with TensorFlow
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures. All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways. You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give ba ...
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures. All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways. You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give ba ...
Asset Accounting Configuration in SAP ERP
In this book, noted expert Andrew Okungbowa explains SAP Asset Accounting (FI-AA) in SAP-ERP, including its associated business benefits, and guides you through the considerable complexities of SAP-ERP configuration. Using FI-AA for fixed asset management enables you to manage assets in multinational companies across a broad range of industries and produce reports to meet various needs in line with legal requirements. Configuring SAP-ERP can be a daunting exercise, however, and there are few resources that address these issues. Asset Accounting Configuration in SAP ERP fills that resource gap by covering the major aspects of SAP FI-AA for anyone with SAP experience and the basic accounting knowledge and bookkeeping skills necessary to apply configuration. It provides configuration explanations in the simplest forms possible and provides step-by-step guidance with illustrations and practical examples. ...
In this book, noted expert Andrew Okungbowa explains SAP Asset Accounting (FI-AA) in SAP-ERP, including its associated business benefits, and guides you through the considerable complexities of SAP-ERP configuration. Using FI-AA for fixed asset management enables you to manage assets in multinational companies across a broad range of industries and produce reports to meet various needs in line with legal requirements. Configuring SAP-ERP can be a daunting exercise, however, and there are few resources that address these issues. Asset Accounting Configuration in SAP ERP fills that resource gap by covering the major aspects of SAP FI-AA for anyone with SAP experience and the basic accounting knowledge and bookkeeping skills necessary to apply configuration. It provides configuration explanations in the simplest forms possible and provides step-by-step guidance with illustrations and practical examples. ...