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.

Название: C++ for beginners: Your comprehensive step-by-step guide to learn everything about C++
Автор: Daniel Harder
Издательство: TECHHUP
Год: 2022
Страниц: 176
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

C++ (pronounced "C plus plus") is a high-level general-purpose programming language created by Danish computer scientist Bjarne Stroustrup as an extension of the C programming language, or "C with Classes". The language has expanded significantly over time, and modern C++ now has object-oriented, generic, and functional features in addition to facilities for low-level memory manipulation. It is almost always implemented as a compiled language, and many vendors provide C++ compilers, including the Free Software Foundation, LLVM, Microsoft, Intel, Embarcadero, Oracle, and IBM, so it is available on many platforms. C++ was designed with systems programming and embedded, resource-constrained software and large systems in mind, with performance, efficiency, and flexibility of use as its design highlights.C++ has also been found useful in many other contexts, with key strengths being software infrastructure and resource-constrained applications, including desktop applications, video games, servers (e.g. e-commerce, web search, or databases), and performance-critical applications (e.g. telephone switches or space probes).

Название: Python Data Science Handbook: Essential Tools for Working with Data, 2nd Edition (Final Release)
Автор: Jake VanderPlas
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 591
Язык: английский
Формат: True/Retail PDF EPUB
Размер: 30.8 MB

Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all--IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.

Название: Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI Pipelines (Final Release)
Автор: Yada Pruksachatkun, Matthew McAteer, Subhabrata Majumdar
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 303
Язык: английский
Формат: True/Retail PDF EPUB
Размер: 47.0 MB

With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable. This book is written for anyone who is currently working with Machine Learning models and wants to be sure that the fruits of their labor will not cause unintended harm when released into the real world. The primary audience of the book are engineers and data scientists who have some familiarity with Machine Learning. Parts of the book should be accessible to non-engineers, such as product managers and executives with a conceptual understanding of ML. Some of you may be building ML systems that make higher-stakes decisions than they encountered in your previous job or in academia. We assume you are are familiar with the very basics of Deep Learning, and Python for the code samples.