Tabla de Contenidos: “…Chapter 4: Design Principles for Secure Cloud Computing -- Security for IaaS, SaaS, and PaaS -- Security Considerations for Infrastructure as a Service (IaaS) -- Core Elements of Security for IaaS -- Security Considerations for Platform as a Service (PaaS) -- Core Elements of Security for PaaS -- Security Considerations for Software as a Service (SaaS) -- Core Elements of Security for SaaS -- Shared Responsibility Model for Cloud Service Models -- Review of Your Responsibilities -- Summary -- Exam Readiness Drill - Chapter Review Questions -- Chapter 5: How to Evaluate Your Cloud Service Provider -- Key Cloud Service Contractual Documents -- CSA -- The Customer Agreement -- The CSA from a CSP Perspective -- AUP -- The Purpose of an AUP -- The Importance of an AUP -- SLA -- The Purpose of an SLA -- The Key Characteristics of an SLA -- The Importance of an SLA -- Evaluation of the CSP Services -- Know Your Business Needs -- Assessing Security and Compliance -- Summary -- Exam Readiness Drill - Chapter Review Questions -- Chapter 6: Cloud Data Security Concepts and Architectures -- Structured and Unstructured Data -- Key Differences -- The Cloud Data Lifecycle -- Data Creation or Procurement -- Data Storage -- Data Usage -- Data Sharing -- Data Archiving -- Data Destruction -- Various Storage Types and Common Threats -- Object Storage -- File Storage -- Block Storage -- Prevalent Threats to Cloud Data -- Security Measures for Cloud Object Storage, File Storage, and Block Storage -- Data Classification and Discovery -- Recommended Data Classification Process -- Cloud Data Security Technologies and Common Strategies -- Encryption in Cloud Data Security -- IAM -- SIEM -- Firewall and Intrusion Detection Systems -- Data Loss Prevention Tools -- Critical Cloud Data Security Strategies -- Importance of a Cloud Security Policy…”

“…At the same time, the volume deals with the analysis and preservation of glass objects from a scientific and conservation perspective and with the presentation of baroque glass from a museum perspective. …”

Tabla de Contenidos: “…-- What we learned -- Random variables and probability distributions -- A new concept - random variables -- Summarizing probability distributions -- Continuous distributions -- Transforming and combining random variables -- Named distributions -- What we learned -- Sampling from distributions -- How datasets relate to random variables and probability distributions -- How big is the population from which a dataset is sampled? …”

“…Web scraping is the process of scraping websites and extracting desired data from them, and in this course, you will learn and master web scraping using Python and Scrapy with a step-by-step and in-depth guide. …”

“…When looking at the process of extending the practical phases within teachers’ training, the question of its impact on students’ professionalisation becomes increasingly important. The given study distances itself from normative positions promoting an unquestioned positive effect of these practical experiences. …”

“…We will start by going through a sample machine learning project from an idea to developing a final working model. …”

“…You will learn the common use of factories to separate code from its opposite and the alternative of inheritance using object composition and wrappers. …”

“…Ensure compliance across the top cloud players by diving into AWS, Azure, and GCP cloud auditing to minimize security risks Key Features Leverage best practices and emerging technologies to effectively audit a cloud environment Get better at auditing and unlock career opportunities in cloud audits and compliance Explore multiple assessments of various features in a cloud environment to see how it's done Book Description As more and more companies are moving to cloud and multi-cloud environments, being able to assess the compliance of these environments properly is becoming more important. But in this fast-moving domain, getting the most up-to-date information is a challenge--so where do you turn? …”

“…ACM Conferences…”

“…Examples in Go. about the author Mohamed Labouardy is the CTO and co-founder of Crew.work, a Jenkins contributor, and a DevSecOps evangelist. …”

“…Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach--even if you have no background in mathematics or data science. …”

“…Refactor the right way, and your code becomes elegant, easy to read, and easy to maintain. …”

“…Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. about the technology Discover powerful machine learning techniques you can understand and apply using only high school math! …”

“…Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. about the technology Discover powerful machine learning techniques you can understand and apply using only high school math! …”

“…The book goes beyond the basics to show you how to handle the unforeseen complexities that can keep automations from becoming reusable and resilient. From the console to the cloud, you'll learn how to manage your code, avoid common pitfalls, and create sharable automations that are adaptable to different use cases. …”

“…It covers the basics and abstractions in great detail. From the Foreword by Soumith Chintala, Cocreator of PyTorch Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. …”

Tabla de Contenidos: “…-- Learning about Power Automate -- Learning about Copilots -- Learning about Power Apps -- Learning about AI Builder technologies -- Understanding Power Platform licensing -- Exploring additional AI services -- Working with Azure AI Services -- Working with OpenAI models -- Working with services from Google, Anthropic, and more -- Summary -- Chapter 2: Configuring an Environment to Support AI Services -- Configuring Azure -- Requesting API access for Azure OpenAI services -- Setting up OpenAI service resources in Azure -- Configuring API access for ChatGPT -- Configuring your workstation -- Configuring Power Platform -- Summary -- Chapter 3: Talking to ChatGPT -- Working with ChatGPT as a user -- So, what's a token? …”

Tabla de Contenidos: “…Cover -- Title page -- Copyright and Credits -- Contributors -- Table of Contents -- Preface -- Part 1: Recent Developments in the Field, Installations, and Hello World Applications -- Chapter 1: From Bag-of-Words to the Transformers -- Evolution of NLP approaches -- Recalling traditional NLP approaches -- Language modeling and generation -- Leveraging DL -- Considering the word order with RNN models -- LSTMs and gated recurrent units -- Contextual word embeddings and TL -- Overview of the Transformer architecture -- Attention mechanism -- Multi-head attention mechanisms -- Using TL with Transformers -- Multimodal learning -- Summary -- References -- Chapter 2: A Hands-On Introduction to the Subject -- Technical requirements -- Installing transformer with Anaconda -- Installation on Linux -- Installation on Windows -- Installation on macOS -- Installing TensorFlow, PyTorch, and Transformer -- Installing and using Google Colab -- Working with language models and tokenizers -- Working with community-provided models -- Working with multimodal transformers -- Working with benchmarks and datasets -- Important benchmarks -- GLUE benchmark -- SuperGLUE benchmark -- XTREME benchmark -- XGLUE benchmark -- SQuAD benchmark -- Accessing the datasets with an application programming interface -- Data manipulation using the datasets library -- Sorting, indexing, and shuffling -- Caching and reusability -- Dataset filter and map function -- Processing data with the map function -- Working with local files -- Preparing a dataset for model training -- Benchmarking for speed and memory -- Summary -- Part 2: Transformer Models: From Autoencoders to Autoregressive Models -- Chapter 3: Autoencoding Language Models -- Technical requirements -- BERT - one of the autoencoding language models -- BERT language model pretraining tasks…”

“…This new edition offers real-world use cases and practical insights from several large-scale serverless systems. Chapters on innovative serverless design patterns and architectures will help you become a complete cloud professional. …”

“…About the Technology Originally designed for high-performance data science, Julia has become an awesome general purpose programming language. …”