Beginning Data Science in R 4, 2nd Edition
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. ...
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. ...
MonoGame Role-Playing Game Development Succinctly
For MonoGame developers looking to build their own role-playing game, this ebook is an essential guide. Authors Jim Perry and Charles Humphrey break down design complexities into smaller topics that are easy to think through to help you produce a working game. Learn how to animate sprites, construct conversation trees, build multilevel maps, manage combat, and much more, all on top of the MonoGame framework. ...
For MonoGame developers looking to build their own role-playing game, this ebook is an essential guide. Authors Jim Perry and Charles Humphrey break down design complexities into smaller topics that are easy to think through to help you produce a working game. Learn how to animate sprites, construct conversation trees, build multilevel maps, manage combat, and much more, all on top of the MonoGame framework. ...
Advanced Analytics and Deep Learning Models
The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with al ...
The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with al ...
Embracing Modern C++ Safely
Embracing Modern C++ Safely shows you how to make effective use of the new and enhanced language features of modern C++ without falling victim to their potential pitfalls. Based on their years of experience with large, mission-critical projects, four leading C++ authorities divide C++11/14 language features into three categories: Safe, Conditionally Safe, and Unsafe. Safe features offer compelling value, are easy to use productively, and are relatively difficult to misuse. Conditionally Safe features offer significant value but come with risks that require significant expertise and familiarity before use. Unsafe features have an especially poor risk/reward ratio, are easy to misuse, and are beneficial in only the most specialized circumstances. This book distills the C++ community's years of experience applying C++11 and C++14 features and will help you make effective and safe design decisions that reflect real-world, economic engineering tradeoffs in large-scale, diverse softwar ...
Embracing Modern C++ Safely shows you how to make effective use of the new and enhanced language features of modern C++ without falling victim to their potential pitfalls. Based on their years of experience with large, mission-critical projects, four leading C++ authorities divide C++11/14 language features into three categories: Safe, Conditionally Safe, and Unsafe. Safe features offer compelling value, are easy to use productively, and are relatively difficult to misuse. Conditionally Safe features offer significant value but come with risks that require significant expertise and familiarity before use. Unsafe features have an especially poor risk/reward ratio, are easy to misuse, and are beneficial in only the most specialized circumstances. This book distills the C++ community's years of experience applying C++11 and C++14 features and will help you make effective and safe design decisions that reflect real-world, economic engineering tradeoffs in large-scale, diverse softwar ...
A Network Architect's Guide to 5G
As 5G transforms mobile usage and services, network professionals will need to significantly evolve their transport network architectures towards greater sophistication and stronger integration with radio networks, and facilitate transition towards cloud-native 5G mobile core. Until now, however, most 5G guides have foregrounded RF/radio and mobile core innovations, not its implications for data networks. A Network Architects Guide to 5G fills the gap, giving network architects, designers, and engineers essential knowledge for designing and planning their own 5G networks. Drawing on decades of experience with global service providers and enterprise networks, the authors illuminate new and evolving network technologies necessary for building 5G-capable networks, such as segment routing, network slicing, timing and synchronization, edge computing, distributed data centers, integration with public cloud, and more. They explain how 5G blurs boundaries between mobile core, radio access, ...
As 5G transforms mobile usage and services, network professionals will need to significantly evolve their transport network architectures towards greater sophistication and stronger integration with radio networks, and facilitate transition towards cloud-native 5G mobile core. Until now, however, most 5G guides have foregrounded RF/radio and mobile core innovations, not its implications for data networks. A Network Architects Guide to 5G fills the gap, giving network architects, designers, and engineers essential knowledge for designing and planning their own 5G networks. Drawing on decades of experience with global service providers and enterprise networks, the authors illuminate new and evolving network technologies necessary for building 5G-capable networks, such as segment routing, network slicing, timing and synchronization, edge computing, distributed data centers, integration with public cloud, and more. They explain how 5G blurs boundaries between mobile core, radio access, ...
Learn Enough Developer Tools to Be Dangerous
Three of the core tools needed for modern software development are the Unix command line, a text editor, and version control with Git. But you don't need to learn "everything" about them, just how to use them efficiently to solve real problems. In Learn Enough Developer Tools to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need so you can learn to write apps, get hired, collaborate, and maybe even launch your own company. Even if you've never used (or even heard of) these tools before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Focused exercises help you internalize what matters, without wasting time on details pros don't care about. Soon, it'll be like you were born knowing this stuff-and youll be suddenly, seriously dangerous. Learn enough about: Running a terminal, entering and editing commands, and using man pages; Manipulating and inspecting files: from basic cop ...
Three of the core tools needed for modern software development are the Unix command line, a text editor, and version control with Git. But you don't need to learn "everything" about them, just how to use them efficiently to solve real problems. In Learn Enough Developer Tools to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need so you can learn to write apps, get hired, collaborate, and maybe even launch your own company. Even if you've never used (or even heard of) these tools before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Focused exercises help you internalize what matters, without wasting time on details pros don't care about. Soon, it'll be like you were born knowing this stuff-and youll be suddenly, seriously dangerous. Learn enough about: Running a terminal, entering and editing commands, and using man pages; Manipulating and inspecting files: from basic cop ...
Machine Learning on Kubernetes
MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value for their organization. You'll begin by understanding the different components of a machine learning project. Then, you'll design and build a practical end-to-end machine learning project using open source software. As you progress, you'll understand the basics of MLOps and the value it can bring to machine learning projects. You will also gain experience in building, configuring, and using an open source, containerized machine learning platform. In later chapters, you will prepare data, build and deploy machine learning models, and automate workflow tasks using the same platform. Finally, the exercises in this book will help you get han ...
MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value for their organization. You'll begin by understanding the different components of a machine learning project. Then, you'll design and build a practical end-to-end machine learning project using open source software. As you progress, you'll understand the basics of MLOps and the value it can bring to machine learning projects. You will also gain experience in building, configuring, and using an open source, containerized machine learning platform. In later chapters, you will prepare data, build and deploy machine learning models, and automate workflow tasks using the same platform. Finally, the exercises in this book will help you get han ...
Becoming an Enterprise Django Developer
Django is a powerful framework but choosing the right add-ons that match the scale and scope of your enterprise projects can be tricky. This book will help you explore the multifarious options available for enterprise Django development. Countless organizations are already using Django and more migrating to it, unleashing the power of Python with many different packages and dependencies, including AI technologies. This practical guide will help you understand practices, blueprints, and design decisions to put Django to work the way you want it to. You'll learn various ways in which data can be rendered onto a page and discover the power of Django for large-scale production applications. Starting with the basics of getting an enterprise project up and running, you'll get to grips with maintaining the project throughout its lifecycle while learning what the Django application lifecycle is. By the end of this book, you'll have learned how to build and deploy a Django project to the ...
Django is a powerful framework but choosing the right add-ons that match the scale and scope of your enterprise projects can be tricky. This book will help you explore the multifarious options available for enterprise Django development. Countless organizations are already using Django and more migrating to it, unleashing the power of Python with many different packages and dependencies, including AI technologies. This practical guide will help you understand practices, blueprints, and design decisions to put Django to work the way you want it to. You'll learn various ways in which data can be rendered onto a page and discover the power of Django for large-scale production applications. Starting with the basics of getting an enterprise project up and running, you'll get to grips with maintaining the project throughout its lifecycle while learning what the Django application lifecycle is. By the end of this book, you'll have learned how to build and deploy a Django project to the ...
Time Series Analysis with Python Cookbook
Time series data is everywhere, available at a high frequency and volume. It is complex and can contain noise, irregularities, and multiple patterns, making it crucial to be well-versed with the techniques covered in this book for data preparation, analysis, and forecasting. This book covers practical techniques for working with time series data, starting with ingesting time series data from various sources and formats, whether in private cloud storage, relational databases, non-relational databases, or specialized time series databases such as InfluxDB. Next, you'll learn strategies for handling missing data, dealing with time zones and custom business days, and detecting anomalies using intuitive statistical methods, followed by more advanced unsupervised ML models. The book will also explore forecasting using classical statistical models such as Holt-Winters, SARIMA, and VAR. The recipes will present practical techniques for handling non-stationary data, using power transforms, A ...
Time series data is everywhere, available at a high frequency and volume. It is complex and can contain noise, irregularities, and multiple patterns, making it crucial to be well-versed with the techniques covered in this book for data preparation, analysis, and forecasting. This book covers practical techniques for working with time series data, starting with ingesting time series data from various sources and formats, whether in private cloud storage, relational databases, non-relational databases, or specialized time series databases such as InfluxDB. Next, you'll learn strategies for handling missing data, dealing with time zones and custom business days, and detecting anomalies using intuitive statistical methods, followed by more advanced unsupervised ML models. The book will also explore forecasting using classical statistical models such as Holt-Winters, SARIMA, and VAR. The recipes will present practical techniques for handling non-stationary data, using power transforms, A ...
UI Animations with Lottie and After Effects
Lottie is a small and scalable JSON-based animation file. LottieFiles is the platform where Lottie animations can be uploaded, tested, and shared. By combining the LottieFiles plugin and the LottieFiles platform, you'll be able to create stunning animations that are easy to integrate in any device. You'll also see how to use the Bodymovin plugin in After Effects to export your animation to a JSON file. The book starts by giving you an overview of Lottie and LottieFiles. As you keep reading, you'll understand the entire Lottie ecosystem and get hands-on with classic 2D animation principles. You'll also get a step-by-step guided tour to ideate, sketch for storytelling, design an icon that will fulfill the needs and expectations of users based on UX, and finally animate it in Adobe After Effects. This will help you get familiar with the After Effects environment, work with vector shape layers, create and modify keyframes using layer properties, explore path and mask features, and adjus ...
Lottie is a small and scalable JSON-based animation file. LottieFiles is the platform where Lottie animations can be uploaded, tested, and shared. By combining the LottieFiles plugin and the LottieFiles platform, you'll be able to create stunning animations that are easy to integrate in any device. You'll also see how to use the Bodymovin plugin in After Effects to export your animation to a JSON file. The book starts by giving you an overview of Lottie and LottieFiles. As you keep reading, you'll understand the entire Lottie ecosystem and get hands-on with classic 2D animation principles. You'll also get a step-by-step guided tour to ideate, sketch for storytelling, design an icon that will fulfill the needs and expectations of users based on UX, and finally animate it in Adobe After Effects. This will help you get familiar with the After Effects environment, work with vector shape layers, create and modify keyframes using layer properties, explore path and mask features, and adjus ...