Applying Math with Python, 2nd EditionThe updated edition of Applying Math with Python will help you solve complex problems in a wide variety of mathematical fields in simple and efficient ways. Old recipes have been revised for new libraries and several recipes have been added to demonstrate new tools such as JAX.
You'll start by refreshing your knowledge of several core mathematical fields and learn about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you progress, you'll gradually get to grips with more advanced topics of calculus, probability, and networks (graph theory). Once you've developed a solid base in these topics, you'll have the confidence to set out on math adventures with Python as you explore Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code.
By the end of this book, y ...
Machine Learning for High-Risk ApplicationsThe past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks.
This book describes approaches to responsible AI - a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.
Learn technical approaches for responsible AI across explainability, model validation and debugging, bias management, data privacy, and ML security; Lea ...
Geospatial Analysis with SQLGeospatial analysis is industry agnostic and a powerful tool for answering location questions. Combined with the power of SQL, developers and analysts worldwide rely on database integration to solve real-world spatial problems. This book introduces skills to help you detect and quantify patterns in datasets through data exploration, visualization, data engineering, and the application of analysis and spatial techniques. You will begin by exploring the fundamentals of geospatial analysis where you'll learn about the importance of geospatial analysis and how location information enhances data exploration. Walter Tobler's second law of geography states, "the phenomenon external to a geographic area of interest affects what goes on inside." This quote will be the framework of the geospatial questions we will explore. You'll then observe the framework of geospatial analysis using SQL while learning to create spatial databases and SQL queries and functions. By the end of this book, you will ...
An Introduction to C & GUI Programming, 2nd EditionFreshly updated for GTK3, the 2nd edition of An Introduction to C & GUI Programming will teach you all you need to know to write simple programs in C and start creating GUIs, even if you're an absolute beginner.
The first half of the book is an introduction to C, and covers the basics of writing simple command-line programs. The second half shows how to use the GTK user interface toolkit with C to create feature-rich GUI applications which can be run on the desktop.
156 pages of essential information:
- Create simple command-line C programs
- Control flow with conditions and loops
- Handle variables, strings, and files
- Design graphical user interface applications in C
- Handle user input with buttons and menus
- Use advanced UI features such as data stores and dialogs ...
Windows Server 2016 Security, Certificates, and Remote Access CookbookWindows Server 2016 is an operating system designed to run on today's highly performant servers, both on-premise and in the cloud. It supports enterprise-level data storage, communications, management, and applications. This book builds off a basic knowledge of the Windows Server operating system, and assists administrators with taking the security of their systems one step further.
You will learn tips for configuring proper networking, especially on multi-homed systems, and tricks for locking down access to your servers.
Then you will move onto one of the hottest security topics of the year - certificates. You will learn how to build your own PKI, or how to better administer one that you already have. You will publish templates, issue certificates, and even configure autoenrollment in your network.
When we say "networking" we don't only mean inside the LAN. To deal safely with mobile devices, you will learn about the capabilities of Windows Server 2016 for connecting these as ...
Managing Multimedia and Unstructured Data in the Oracle DatabaseMultimedia is the new digital frontier. Managers, software architects, administrators and developers need to fully comprehend this exciting new technology as its widespread use and acceptance cannot be ignored any longer.
Managing Multimedia and Unstructured Data in the Oracle Database will give you a complete understanding of how to manage all data, especially multimedia. You will learn all the latest terminology, how to set up a database, load digital objects, search on them and even how to sell them. Whether you are a manager or database administrator, this book will give you the knowledge you need to take control of this rapidly growing and industry- changing technology. Technology which is transforming our lives. ...
Big Data Analytics with R and HadoopBig data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. New methods of working with big data, such as Hadoop and MapReduce, offer alternatives to traditional data warehousing.
Big Data Analytics with R and Hadoop is focused on the techniques of integrating R and Hadoop by various tools such as RHIPE and RHadoop. A powerful data analytics engine can be built, which can process analytics algorithms over a large scale dataset in a scalable manner. This can be implemented through data analytics operations of R, MapReduce, and HDFS of Hadoop. ...
Scaling Big Data with Hadoop and SolrAs data grows exponentially day-by-day, extracting information becomes a tedious activity in itself. Technologies like Hadoop are trying to address some of the concerns, while Solr provides high-speed faceted search. Bringing these two technologies together is helping organizations resolve the problem of information extraction from Big Data by providing excellent distributed faceted search capabilities.
Scaling Big Data with Hadoop and Solr is a step-by-step guide that helps you build high performance enterprise search engines while scaling data. Starting with the basics of Apache Hadoop and Solr, this book then dives into advanced topics of optimizing search with some interesting real-world use cases and sample Java code. ...
Learning IPython for Interactive Computing and Data VisualizationYou already use Python as a scripting language, but did you know it is also increasingly used for scientific computing and data analysis? Interactive programming is essential in such exploratory tasks and IPython is the perfect tool for that. Once you've learnt it, you won't be able to live without it.
Learning IPython for Interactive Computing and Data Visualization is a practical, hands-on, example-driven tutorial to considerably improve your productivity during interactive Python sessions, and shows you how to effectively use IPython for interactive computing and data analysis. ...
Data-oriented Development with AngularJSAngularJS is one of the most popular JavaScript frameworks used to write single page applications and is suitable for developing large-scale enterprise applications. With Firebase, you can easily store and sync data in real time. It has libraries for all the major web and mobile platforms (including AngularJS) and bindings for the most popular frameworks (such as Node.js).
Data-oriented Development with AngularJS is a systematic learning guide that covers important AngularJS concepts such as data binding, dependency injection, directives, and so on. It also covers the basics of Firebase and three-way data binding with AngularFire. You'll be able to create a small project and build a real-time application using Firebase and AngularJS. This project uses most of the concepts and best practices learned in the book so that you can apply the very same principles in real-world AngularJS development. ...