Tabla de Contenidos:

“…Over 100 recipes to help you leverage PowerShell to automate Windows Server 2016 manual tasks About This Book Automate Windows server tasks with the powerful features of the PowerShell Language Master new features such as DevOps, containers, and Nano servers, and speed up their performance using PowerShell Improve PowerShell's usability, and control and manage Windows-based environments by working through inviting recipes Who This Book Is For If you are a systems administrator, engineer, or an architect working with Windows Server 2016 and want to automate tasks with PowerShell, then this book is for you. …”

“…Some understanding of pandas will be helpful, but not mandatory. What You Will Learn Master the fundamentals of pandas to quickly begin exploring any dataset Isolate any subset of data by properly selecting and querying the data Split data into independent groups before applying aggregations and transformations to each group Restructure data into tidy form to make data analysis and visualization easier Prepare real-world messy datasets for machine learning Combine and merge data from different sources through pandas SQL-like operations Utilize pandas unparalleled time series functionality Create beautiful and insightful visualizations through pandas direct hooks to Matplotlib and Seaborn In Detail This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. …”

“…Fully illustrated steps with simple instructions guide you through every task, building the skills you need to master Windows 7 with ease. No need to feel intimidated–we’ll hold your hand every step of the way. …”

Tabla de Contenidos: “…3.1.4 Storage Networking Industry Association -- 3.1.5 Different virtualization products -- 3.2 SAN Volume Controller -- 3.2.1 Compass architecture -- 3.2.2 SAN Volume Controller logical configuration -- 3.2.3 SAN Volume Controller compatibility -- 3.2.4 Software licensing -- 3.2.5 FlashCopy -- 3.2.6 FlashCopy indirection layer -- 3.2.7 FlashCopy rules -- 3.2.8 Peer-to-Peer Remote Copy -- 3.2.9 PPRC configuration limits -- 3.3 SAN File System -- 3.3.1 File systems general terminology -- 3.3.2 Filesets and the global namespace -- 3.3.3 SAN File System product overview -- 3.3.4 SAN File System architecture -- 3.3.5 SAN File System product components -- 3.3.6 SAN File System engines -- 3.3.7 Master Console -- 3.3.8 Global namespace -- 3.3.9 Filesets -- 3.3.10 Storage Pools -- 3.3.11 Policy based storage and data management -- 3.3.12 Clients -- 3.3.13 FlashCopy -- 3.3.14 Reliability and availability -- 3.3.15 Summary of major features -- Chapter 4. …”

Tabla de Contenidos: “…3.4 Detailed transition steps -- 3.4.1 Run the PSSP cluster analysis report tool -- 3.4.2 Run the PSSP node analysis report tool -- 3.4.3 Run the PSSP configuration recording tool -- 3.4.4 Review and check the reports -- 3.4.5 Take system and application back-ups -- 3.4.6 Stop production -- 3.4.7 Shut down HACMP -- 3.4.8 Shut down LoadLeveler -- 3.4.9 Back up /spdata -- 3.4.10 Shut down GPFS -- 3.4.11 Shut down VSD -- 3.4.12 Uninstall PSSP from the nodes -- 3.4.13 Uninstall PSSP from CWS -- 3.4.14 Remove the SP switch adapter from the nodes -- 3.4.15 Install and configure the NIM master on the CWS (MS) -- 3.4.16 Install the CSM management server (MS) -- 3.4.17 Define the nodes to the CSM cluster -- 3.4.18 Create a NIM machine definition -- 3.4.19 Update CSM filesets to nodes -- 3.4.20 Adding nodes to the CSM cluster -- 3.4.21 Set up conserver -- 3.4.22 AIX migration using NIM -- 3.4.23 Post installation tasks -- 3.4.24 Verify the installation -- 3.4.25 Set up a peer domain -- 3.4.26 Set up HACMP -- 3.4.27 Configure VSD -- 3.4.28 Configure GPFS -- 3.4.29 Configure LoadLeveler -- 3.4.30 Change Hostname and IP address of MS or nodes (optional) -- 3.4.31 Store hardware control point user ID and password (Hardware Management Console (HMC) only) -- 3.4.32 alt_disk_install procedure -- Chapter 4. …”

“…Objective-C is easy to learn and has a simple elegance that is a welcome breath of fresh air after the abstruse and confusing C++. To help you master the fundamentals of this language, you'll want to keep the Objective-C Pocket Reference close at hand. …”

Tabla de Contenidos: “…-- Summary -- References -- Additional Resources -- 8 Data Governance and Data Management -- Introduction -- Data Governance - Policies, Procedure, and Process -- Goals of Data Governance -- Data Integrity -- Data Security -- Data Consistency -- Data Confidence -- Compliance to Regulations, Data Privacy Laws -- Adherence to Organizational Ethics and Standards -- Risk Management of Data Leakage -- Data Distribution -- Value of Good Data -- Moving Data Quality Upstream Reduces Costs -- Data Literacy Education -- Technology to Support Data Management and Governance -- Data Management -- Master Data -- Reference Data -- Data Quality -- Security -- Summary -- References -- Additional Resources -- Some Terms Related to This Chapter to Consider Exploring -- Data Quality Resource -- 9 Miscellanea - Curated, Purchased, Nascent, and Future Data -- Introduction -- Data Outside Your Organization -- Supplemental Data -- Meaningful Data -- Data for Free -- Publically Available Data -- Data Available from Commercial Entities and Universities -- Data for Sale -- Data Syndicators -- Data Brokers -- Data Exchange and Data Exchange Platforms -- Data Marketplaces -- Should You Monetize Your Data? …”

Tabla de Contenidos: “…-- The cost of highly available architecture -- Mixing good and bad - tricks to wrapping bad code and making it resilient -- Alerting that fires actions -- Adding additional logging to monitor potential issues -- Using try catch to encapsulate exceptions -- Retries to the rescue...or not -- Summary -- Part 2 - Implementing Observability for Site Reliability Engineering -- Chapter 4: Essential Observability - Metrics, Events, Logs, and Traces (MELT) -- Technical requirements -- Accomplishing systems monitoring and telemetry -- Monitoring targets for infrastructure -- Monitoring types and tools -- Monitoring golden signals -- Monitoring data -- Understanding APM -- Getting to know topology self-discovery, the blast radius, predictability, and correlation -- Alerting - the art of doing it quietly -- The user perspective notification trigger principle -- Event-to-incident mapping principle -- Mixing everything into observability -- Outages versus downtime -- Observability architecture -- Observability effectiveness -- In practice - applying what you have learned -- Lab architecture -- Lab contents -- Lab instructions -- Summary -- Further reading -- Chapter 5: Resolution Path - Master Troubleshooting -- Properly defining the problem - and what to ask and not ask -- Source of information…”

“…Kickstart your IoT design and implementation journey with this comprehensive book, covering basics to advanced concepts through practical examples and industry-standard practices Key Features Master the different components that make up an IoT system to design and implement solutions Unlock the powerful capabilities of cloud computing that enhance the efficiency of your IoT deployments Integrate cutting-edge technologies, such as with generative AI, into your IoT projects Purchase of the print or Kindle book includes a free PDF eBook Book Description Develop the skills essential for building Internet of Things solutions with this indispensable guide. …”

“…Master the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. …”

“…As you advance, you'll master platform selection and apply your newfound knowledge to tackle complex problems and deliver innovative cloud-native blockchain solutions tailored for your specific needs. …”

Tabla de Contenidos: “…Google Cloud Memorystore -- Google Cloud's big data services -- Google Cloud Pub/Sub -- Google Cloud BigQuery -- Google Cloud Dataflow -- Google Cloud Dataproc -- Google Cloud Looker -- Summary -- Practice questions -- Answers to the practice questions -- Further reading -- Chapter 10: Google Cloud AI Services -- Google Cloud Vertex AI -- Vertex AI datasets -- Dataset labeling -- Vertex AI Feature Store -- Workbench and notebooks -- Vertex AI custom models -- Vertex Explainable AI -- Vertex AI prediction -- Vertex AI Model Monitoring -- Vertex AI Pipelines -- Vertex AI TensorBoard and Metadata -- Vertex AI AutoML -- Google Cloud ML APIs -- Sight API -- Conversational API -- Google Cloud generative AI services -- Summary -- Practice questions -- Answers to the practice questions -- Further reading -- Chapter 11: Google Cloud Security Services -- Google Cloud IAM -- Google Cloud users and groups -- Google Cloud service accounts -- Google Cloud IAM roles -- Google Cloud endpoint security -- GCE VM security -- GCS security -- Google Cloud network security -- Google Cloud data security -- Data classification and data lineage -- Data encryption -- GCP DLP -- Google Cloud Monitoring and Logging -- Google Cloud Security Command Center (SCC) -- SCC asset discovery -- SCC scan findings -- SCC integration with Cloud DLP -- SHA -- The latest SCC features -- Summary -- Practice questions -- Answers to the practice questions -- Further reading -- Part 3: Mastering Azure Cloud Services -- Chapter 12: Microsoft Azure Cloud Foundation Services -- Azure cloud resource hierarchy -- Azure cloud compute -- Azure cloud VMs -- Azure cloud container services -- Azure serverless computing -- Azure cloud storage -- Object storage -- File storage -- Block storage -- Archive storage -- Azure cloud networking -- Azure Cloud Foundation service implementation -- Summary…”

“…By the end of this book, you'll have mastered synthetic data and positioned yourself as a market leader, ready for more advanced, cost-effective, and higher-quality data sources, setting you ahead of your peers in the next generation of ML. …”

“…By the end of this book, you'll have mastered the use of SQL to explore and prepare datasets in BigQuery, unlocking deeper insights from data. …”

“…Effortlessly create and manage complex multi-component applications based on Docker containers Key Features Gain a clear understanding of software containers from the SecDevOps perspective Master the construction of application pieces within containers to achieve a seamless life cycle Prepare your applications to run smoothly and with ease in complex container orchestrators Purchase of the print or Kindle book includes a free PDF eBook Book Description Developers are changing their deployment artifacts from application binaries to container images, giving rise to the need to build container-based apps as part of their new development workflow. …”

“…Written by Eyal Wirsansky, a senior data scientist and AI researcher with over 25 years of experience and a research background in genetic algorithms and neural networks, Hands-On Genetic Algorithms with Python offers expert insights and practical knowledge to master genetic algorithms. After an introduction to genetic algorithms and their principles of operation, you’ll find out how they differ from traditional algorithms and the types of problems they can solve, followed by applying them to search and optimization tasks such as planning, scheduling, gaming, and analytics. …”

Tabla de Contenidos: “…-- Evaluating on test (holdout) data -- Understanding evaluation metrics -- Evaluating regression models -- R-squared -- Root mean squared error -- Mean absolute error -- When and how to use each metric -- Practical evaluation strategies -- Summarizing the evaluation of regression models -- Evaluating classification models -- Classification model evaluation metrics -- Precision, recall, and F1-Score -- Recall -- F1-score -- Methods for explaining machine learning models -- Making sense of regression models - the power of coefficients -- Decoding classification models - unveiling feature importance -- Beyond specific models - universal insights using SHAP values -- Summary -- Common Pitfalls in Machine Learning -- Understanding the complexity -- Dirty data, damaged models - how data quantity and quality impact ML -- The importance of adequate training data -- Dealing with poor data quality -- Conclusion -- Overcoming overfitting and underfitting -- Navigating training-serving skew and model drift -- Ensuring fairness -- Mastering overfitting and underfitting for optimal model performance…”

“…Leverage a lightning fast DataFrame library for efficient data wrangling in Python Key Features Unlock the power of Python Polars for faster and more efficient data analysis workflows Master the fundamentals of Python Polars with step-by-step recipes Discover data manipulation techniques to apply across multiple data problems Purchase of the print or Kindle book includes a free PDF eBook Book Description Polars Cookbook is a complete guide that not only helps you get started with Python Polars but also gives you effective solutions to your day-to-day data problems. …”

Tabla de Contenidos: “…Data quality rules and metrics -- Validating quality -- Cross-validation -- Sample/spot check -- Reasonable expectations -- Data profiling -- Data audits -- Automated checks -- Understanding master data management -- When to use MDM -- Processes of MDM -- Summary -- Practice questions -- Questions -- Answers -- Part 4: Mock Exams -- Chapter 16: Practice Exam One -- Practice exam one -- Congratulations! …”