Название: Head First Git (Final Early Release)
Автор: Raju Gandhi
Издательство: O’Reilly Media
Год: 2021-12-09: Final early release
Формат: ePUB
Страниц: 861
Размер: 51 Mb
Язык: English

Many people who use Git rely on "recipes"—basic copy-paste commands—without understanding how this version control system actually works. But what do you do if you find yourself in a tight spot? You can't simply wing it. With this unique hands-on guide, you'll learn valuable ways to use Git in many different situations. Raju Gandhi peels back the layers to reveal the simple yet powerful engine that powers Git, with activities that help you truly understand this crucial tool as you get it up and running. You’ll master branches, tags, stashes, and merges; learn best practices; collaborate with your team; and unlock the full potential of Git.

Название: Machine Learning for High-Risk Applications (3d Early Release)
Автор: Patrick Hall
Издательство: O’Reilly Media
Год: 2021-12-08
Формат: epub/pdf(conv.)
Размер: 12.7 Mb
Язык: English

The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach 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.

Название: Learning DevSecOps (Early Release)
Автор: Michelle Ribeiro
Издательство: O’Reilly Media
Год: 2021-12-09: Third Release
Формат: ePUB
Размер: 10 Mb
Язык: English

Learn how to implement continuous security throughout your entire software development and delivery pipeline. With this hands-on book, developers, SREs, tech leads, and security engineers will learn how to combine their security process with their DevOps culture. You'll gain a thorough understanding of the best DevSecOps practices, from the construction of safer container images to the hardening of orchestrators to methods for securing your cloud environment.
Michelle Ribeiro, CEO of SPIRITSEC, shows you how to introduce security into DevOps culture, methodologies and tools. You'll learn how to take advantage of contrasting security and DevOps cultures to build an effective DevSecOps program. You'll also explore the four Cs of the cloud-native security model: code, container, cloud, and cluster security by following coded examples.

Название: MATLAB Report Generator User’s Guide (R2021b)
Автор: The MathWorks, Inc
Издательство: The MathWorks, Inc
Год: 2021
Формат: PDF
Страниц: 2114
Размер: 11,5 Mb
Язык: English

MATLAB® Report Generator™ provides functions and APIs that integrate reporting capabilities into MATLAB applications. You can develop programs that generate reports in PDF, Microsoft® Word, Microsoft PowerPoint®, and HTML. MATLAB Report Generator enables you to dynamically capture results and figures from your MATLAB code and document those results in a single report that can be shared with others in your organization. You can use the prebuilt, customizable Word and HTML templates or design reports based on your organization’s templates and standards.

Название: Machine Learning Techniques and Analytics for Cloud Security (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
Автор: Rajdeep Chakraborty (Editor), Anupam Ghosh (Editor), Jyotsna Kumar Mandal (Editor)
Издательство: Scrivener Publishing LLC
Год: 2022
Формат: true pdf/epub
Страниц: 470
Размер: 23.4 Mb
Язык: English

This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions
The aim of Machine Learning Techniques and Analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices.

Название: Quickstart Python: An Introduction to Programming for STEM Students
Автор: Christoph Schafer
Издательство: Springer
Год: 2021
Формат: ePUB, PDF
Страниц: 61
Размер: 10 Mb
Язык: English

Christoph Schafer introduces the great world of programming with Python and provides a quick introduction to independent script development. He points out how the programming language Python has established itself in recent years alongside MATLAB and R as a standard at scientific workplaces in research and development, and shows that the great popularity of Python is based on its easy extensibility: It is very easy to use modules from other developers in your own scripts and programs. In particular, the author presents the modules NumPy, SciPy and Matplotlib, which offer scientists and engineers a perfect development environment for scientific and technical computing, for applications in physics, chemistry, biology and computer science. Python is also used in the latest applications in the highly topical fields of Big Data Science and Machine Learning.

Название: Cloud Native DevOps with Kubernetes, 2nd Edition (Third Early Release)
Автор: John Arundel and Justin Domingus
Издательство: O’Reilly Media
Год: 2021-12-08
Формат: epub/mobi/pdf(conv.)
Размер: 10.3 Mb
Язык: English

Kubernetes has become the operating system of today's cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts Justin Domingus and John Arundel show your development and operations staff what Kubernetes can do--and what you can do with it.

Название: Building an Effective Data Science Practice: A Framework to Bootstrap and Manage a Successful Data Science Practice
Автор: Vineet Raina and Srinath Krishnamurthy
Издательство: Apress
Год: 2022
Формат: true pdf/epub
Страниц: 376
Размер: 14.8 Mb
Язык: English

Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts, and other stakeholders that can collaborate effectively on crucial aspects such as problem formulation, execution of experiments, and model performance evaluation.

Название: Introducing Microsoft Quantum Computing for Developers: Using the Quantum Development Kit and Q#
Автор: Johnny Hooyberghs
Издательство: Apress
Год: 2022
Формат: true pdf/epub
Страниц: 403
Размер: 40.6 Mb
Язык: English

Dive in with this hands-on introduction to quantum computing with the Microsoft Quantum Development Kit and Q# for software developers.
You may have heard about quantum computing, but what does it mean to you as a software developer? With many new developments, a resurgence in interest, and investment by some of the largest tech companies in the world to be the first to market with quantum programming (QP) hardware and platforms, it is no longer a tool in the distant future. Developers are at the forefront, now able to create applications that take advantage of QP through simulations. While the skill is of interest, for many developers, quantum computing and its implications still remains a mystery.

Название: Machine Learning with PySpark: With Natural Language Processing and Recommender Systems 2nd Edition
Автор: Pramod Singh
Издательство: Apress
Год: 2022
Страниц: 230
Язык: английский
Формат: pdf (true), epub
Размер: 19.1 MB

Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable Machine Learning models, to natural language processing, to recommender systems. Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the latest updates to the framework. Next, you will learn the full spectrum of traditional Machine Learning algorithm implementations, along with natural language processing and recommender systems. You’ll gain familiarity with the critical process of selecting Machine Learning algorithms, data ingestion, and data processing to solve business problems. You’ll see a demonstration of how to build supervised Machine Learning models such as linear regression, logistic regression, decision trees, and random forests.