Название: Geographic Data Science with R: Visualizing and Analyzing Environmental Change
Автор: Michael C. Wimberly
Издательство: CRC Press
Серия: Data Science Series
Год: 2023
Страниц: 310
Язык: английский
Формат: pdf (true)
Размер: 44.1 MB

The burgeoning field of Data Science has provided a wealth of techniques for analysing large and complex geospatial datasets, including descriptive, explanatory, and predictive analytics. However, applying these methods is just one part of the overall process of geographic Data Science. Other critical steps include screening for suspect data values, handling missing data, harmonizing data from multiple sources, summarizing the data, and visualizing data and analysis results. Although there are many books available on statistical and Machine Learning methods, few encompass the broader topic of scientific workflows for geospatial data processing and analysis. The purpose of Geographic Data Science with R is to fill this gap by providing a series of tutorials aimed at teaching good practices for using geospatial data to address problems in environmental geography. It is based on the R language and environment, which currently provides the best option for working with diverse spatial and non-spatial data in a single platform. Fundamental techniques for processing and visualizing tabular, vector, and raster data are introduced through a series of practical examples followed by case studies that combine multiple types of data to address more complex problems.

Название: How to Create an Advanced Chatbot: A Comprehensive Guide to Using Open AI’s Chat GPT
Автор: A.C. Hamilton
Издательство: Digital Age Media
Год: 2022
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.29 MB

Do you want to learn about or build advanced chatbots that can understand and respond to a wide range of user inputs in a natural and engaging way? If so, then look no further than How to Create an Advanced Chatbot: A Comprehensive Guide to Using Open AI's Chat GPT. In this comprehensive guide, you will learn all about Open AI's Chat GPT, a powerful tool for building advanced chatbots. With step-by-step instructions and detailed examples, this book is perfect for anyone looking to build advanced chatbots that can understand and respond to a wide range of user inputs in a natural and engaging way. With a focus on flexibility and performance, Chat GPT is designed to enable developers and organizations to create chatbots that can understand and respond to a wide range of user inputs in a natural and engaging way. In this essay, we will explore the capabilities of Chat GPT and how it can be used to build advanced chatbots. One of the key capabilities of Chat GPT is its ability to generate coherent and relevant responses to user inputs. Chat GPT uses machine learning algorithms to analyze and understand user inputs, and can generate responses that are tailored to the context and content of the conversation. This allows Chat GPT to engage in more natural and engaging conversations with users, and can help to improve the overall user experience. Chat GPT requires Python 3.6 or higher to be installed on the computer or server, as well as the PyTorch library.

Название: Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner
Автор: Galit Shmueli, Peter C. Bruce
Издательство: Wiley
Год: 2023
Страниц: 701
Язык: английский
Формат: pdf
Размер: 37.6 MB

Machine Learning - also known as data mining or data analytics - is a fundamental part of Data Science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. This is the seventh edition of Machine Learning for Business Analytics, and the first using RapidMiner software. RapidMiner is gaining in popularity among analytics professionals as it is a non-programming environment that lowers the barriers for managers to adopt analytics. The new addition also covers causal analytics as experimentation (often called A/B testing in the industry), which is now becoming mainstream in the tech companies. Further, the authors have added a new chapter on Responsible Data Science, a new part on AutoML, more on deep learning and beefed up deep learning examples in the text mining and forecasting chapters. These updates make this new edition “state of the art” with respect to modern business analytics and AI. Basic knowledge of Python can be helpful for a few chapters.

Название: Learning Ray: Flexible Distributed Python for Machine Learning (Final Release)
Автор: Max Pumperla, Edward Oakes, Richard Liaw
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 271
Язык: английский
Формат: pdf, epub (true)
Размер: 10.26 MB

Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run Machine Learning programs at scale. No matter your concrete role, the common denominator to get the most out of this book is to feel comfortable programming in Python. This book’s examples are written in Python, and an intermediate knowledge of the language is a requirement. Explicit is better than implicit, as you know full well as a Pythonista. So, let us be explicit by saying that knowing Python implies to me that you know how to use the command line on your system, how to get help when stuck, and how to set up a programming environment on your own.

Название: Blockchain Tethered AI: Trackable, Traceable Artificial Intelligence and Machine Learning (Final Release)
Автор: Karen Kilroy, Deepak Bhatta, Lynn Riley
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 304
Язык: английский
Формат: epub (true)
Размер: 15.7 MB

Remove your doubts about AI and explore how this technology can be future-proofed using blockchain's smart contracts and tamper-evident ledgers. With this practical book, system architects, software engineers, and systems solution specialists will learn how enterprise blockchain provides permanent provenance of AI, removes the mystery, and allows you to validate AI before it's ever used. Authors Karen Kilroy, Lynn Riley, and Deepak Bhatta explain that AI's ability to change itself through program synthesis could take the technology beyond human control. With this book, you'll learn an efficient way to solve this problem by building simple blockchain controls for verifying, tracking, tracing, auditing, and even reversing AI. Blockchain tethered AI interweaves the MLOps process with blockchain so that an MLOps system requires blockchain to function, which in turn tethers AI. This guide shows you how.

Название: Kubernetes Secrets Management (Final Release)
Автор: Alex Soto Bueno, Andrew Block
Издательство: Manning Publications
Год: 2023
Страниц: 248
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

Safely manage your secret information like passwords, keys, and certificates in Kubernetes. This practical guide is full of best practices and methods for adding layers of security that will defend the critical data of your applications. Secrets, like database passwords and API keys, are some of the most important data in your application. Kubernetes Secrets Management reveals how to store these sensitive assets in Kubernetes in a way that’s protected against leaks and hacks. You’ll learn the default capabilities of Kubernetes secrets, where they’re lacking, and alternative options to strengthen applications and infrastructure. Discover a security-first mindset that is vital for storing and using secrets correctly, and tools and concepts that will help you manage sensitive assets such as certificates, keys, and key rotation.

Название: Machine Learning under Resource Constraints, Volume 1-3
Автор: Katharina Morik, Jorg Rahnenfuhrer, Christian Wietfeld
Издательство: De Gruyter
Год: 2023
Страниц: 506+364+478
Язык: английский
Формат: pdf (true)
Размер: 129.6 MB

"Машинное обучение в условиях ограниченности ресурсов: в трех томах" рассматривает новые алгоритмы машинного обучения, которые сталкиваются с проблемами высокой пропускной способности данных, высокой размерности или сложной структуры данных. Ограничения на ресурсы определяются соотношением между требованиями к обработке данных и возможностями вычислительной техники. Ресурсами являются время выполнения, память, связь и энергия. Следовательно, современные компьютерные архитектуры играют важную роль. Новые алгоритмы машинного обучения оптимизируются с учетом минимального потребления ресурсов. Более того, полученные прогнозы выполняются на различных архитектурах для экономии ресурсов. В книге представлен всеобъемлющий обзор новых подходов к исследованию машинного обучения, учитывающих ограничения ресурсов, а также применение описанных методов в различных областях науки и техники.

Название: Learning eBPF: Programming the Linux Kernel for Enhanced Observability, Networking, and Security (3rd Early Release)
Автор: Liz Rice
Издательство: O’Reilly Media, Inc.
Год: 2023-02-13
Страниц: 232
Язык: английский
Формат: pdf, epub, mobi
Размер: 11.5 MB

What is eBPF? With this revolutionary technology, you can write custom code that dynamically changes the way the kernel behaves. It's an extraordinary platform for building a whole new generation of security, observability, and networking tools. This practical book is ideal for developers, system administrators, operators, and students who are curious about eBPF and want to know how it works. Author Liz Rice, chief open source officer with cloud native networking and security specialists Isovalent, also provides a foundation for those who want to explore writing eBPF programs themselves. The entire eBPF program is defined as a string called “program” in the Python code. This C program needs to be compiled before it can be executed, but BCC takes care of that for you. The eBPF program is loaded into the kernel and attached to an event, so the program will be triggered whenever a new executable gets launched on the machine. All that remains to do in the Python code is to read the tracing that is output by the kernel, and write it on screen. eBPF programs can be used to dynamically change the behavior of the system. There’s no need to reboot the machine or restart existing processes - eBPF code starts taking effect as soon as it is attached to an event.

Название: Python for beginners: Your comprehensive step-by-step guide to learn everything about Python
Автор: Daniel Harder
Издательство: TECHHUP
Год: 2022
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Python was developed by Guido van Rossum in the late eighties and early nineties at the National Research Institute for Mathematics and Computer Science in the Netherlands. Python is derived from many other languages, including ABC, Modula-3, C, C++, Algol-68, SmallTalk, and Unix shell and other scripting languages. Python is copyrighted. Like Perl, Python source code is now available under the GNU General Public License (GPL). Python is now maintained by a core development team at the institute, although Guido van Rossum still holds a vital role in directing its progress.

Название: Effective Machine Learning Teams: Best Practices for ML Practitioners (Early Release)
Автор: David Tan, Ada Leung
Издательство: O’Reilly Media, Inc.
Год: 2023-02-13
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Gain the valuable skills and techniques you need to accelerate the delivery of Machine Learning solutions. With this practical guide, data scientists and ML engineers will learn how to bridge the gap between data science and Lean software delivery in a practical and simple way. David Tan and Ada Leung from Thoughtworks show you how to apply time-tested software engineering skills and Lean delivery practices that will improve your effectiveness in ML projects. Based on the authors' experience across multiple real-world data and ML projects, the proven techniques in this book will help teams avoid common traps in the ML world, so you can iterate more quickly and reliably. With these techniques, data scientists and ML engineers can overcome friction and experience flow when delivering Machine Learning solutions.