Tabla de Contenidos: “…Intro -- Titlepage -- Copyright -- Dedication -- preface -- acknowledgments -- about this book -- How this book is organized -- Roadmap -- About the code -- Book forum -- about the author -- about the cover illustration -- Chapter 1: Securing DevOps -- 1.1 The DevOps approach -- 1.1.1 Continuous integration -- 1.1.2 Continuous delivery -- 1.1.3 Infrastructure as a service -- 1.1.4 Culture and trust -- 1.2 Security in DevOps -- 1.3 Continuous security -- 1.3.1 Test-driven security -- 1.3.2 Monitoring and responding to attacks -- 1.3.3 Assessing risks and maturing security -- Summary -- Part 1: Case study: applying layers of security to a simple DevOps pipeline -- Chapter 2: Building a barebones DevOps pipeline -- 2.1 Implementation roadmap -- 2.2 The code repository: GitHub -- 2.3 The CI platform: CircleCI -- 2.4 The container repository: Docker Hub -- 2.5 The production infrastructure: Amazon Web Services -- 2.5.1 Three-tier architecture -- 2.5.2 Configuring access to AWS -- 2.5.3 Virtual Private Cloud -- 2.5.4 Creating the database tier -- 2.5.5 Creating the first two tiers with Elastic Beanstalk -- 2.5.6 Deploying the container onto your systems -- 2.6 A rapid security audit -- Summary -- Chapter 3: Security layer 1: protecting web applications -- 3.1 Securing and testing web apps -- 3.2 Website attacks and content security -- 3.2.1 Cross-site scripting and Content Security Policy -- 3.2.2 Cross-site request forgery -- 3.2.3 Clickjacking and IFrames protection -- 3.3 Methods for authenticating users -- 3.3.1 HTTP basic authentication -- 3.3.2 Password management -- 3.3.3 Identity providers -- 3.3.4 Sessions and cookie security -- 3.3.5 Testing authentication -- 3.4 Managing dependencies -- 3.4.1 Golang vendoring -- 3.4.2 Node.js package management -- 3.4.3 Python requirements -- Summary…”

Tabla de Contenidos: “…Using a Flask server to run predictions -- Creating a model microservice -- Serving a PyTorch model using TorchServe -- Installing TorchServe -- Launching and using a TorchServe server -- Exporting universal PyTorch models using TorchScript and ONNX -- Understanding the utility of TorchScript -- Model tracing with TorchScript -- Model scripting with TorchScript -- Running a PyTorch model in C++ -- Using ONNX to export PyTorch models -- Serving PyTorch models in the cloud -- Using PyTorch with AWS -- Serving a PyTorch model using an AWS instance -- Using TorchServe with Amazon SageMaker -- Serving PyTorch models on Google Cloud -- Serving PyTorch models with Azure -- Working with Azure's DSVMs -- Discussing Azure Machine Learning Service -- Summary -- Reference list -- Chapter 14: PyTorch on Mobile Devices -- Deploying a PyTorch model on Android -- Converting the PyTorch model to a mobile-friendly format -- Setting up the Android app development environment -- Using the phone camera in the Android app to capture images -- Enabling the camera during app startup -- Handling camera permissions in Android -- Opening the camera for image capture -- Capturing images using the phone camera -- Running ML model inference on camera-captured images -- Validating the ML model binary path -- Performing image classification on camera-captured images -- Launching the app on an Android mobile device -- Building PyTorch apps on iOS -- Setting up the iOS development environment -- Using a phone camera in the iOS app to capture images -- Running ML model inference on camera-captured images -- Summary -- Reference list -- Chapter 15: Rapid Prototyping with PyTorch -- Using fastai to set up model training in a few minutes -- Setting up fastai and loading data -- Training an MNIST model using fastai -- Evaluating and interpreting the model using fastai…”

Tabla de Contenidos: “…Carta al director del diario La época, don Emilio Filippi (8 de junio de 1989) Epílogo Elena Caffarena Moroce : la “Maestra de la Chile” que vuelve a los 17 después de vivir un siglo…”
Acceso con credenciales UPSA

Tabla de Contenidos: “…-- Setting up and creating incoming Webhooks -- Sending messages using Webhooks -- Interacting with your Webhooks -- How to use Block Kit -- Building blocks -- Block elements -- Button elements -- Checkbox groups -- Date picker elements -- Image element -- Time pickers -- Types of blocks -- Configuring a Slack API sandbox -- Enter sandbox -- Setting up your sandbox -- Installing Simple IdP -- Summary -- Section 3: How to Build Your Own Bots -- Chapter 10: Building Your Own Bot -- Slackbot versus regular bots -- Creating a bot user -- Building your bot user -- Setting up Events API access -- Bringing the bot to your workspace -- Creating an app -- Building and hosting your bot -- Setting up bot tokens -- Finding the right scope(s) -- Authorizing OAuth permissions -- Putting your bot into action -- Scheduled messages -- Slash commands -- Using existing frameworks -- Block Kit -- The Bolt framework -- Testing and pushing your bot live -- Testing -- Updating -- Summary -- Chapter 11: Building Your Own BotBuying, Building, and Outsourcing Your Bot -- Benefits of building your own Slack bot -- Using external and paid frameworks -- Botkit -- Microsoft Bot Framework -- Amazon Lex -- Benefits of buying your own Slack bot -- Brilliant bots for your workspace -- Understanding the cost and time to outsource a bot -- Finding freelancers -- Using Upwork to hire Slack professionals -- Cost for hiring a Slack professional -- Summary -- Chapter 12: Distributing Your App in the Slack App Directory…”

Tabla de Contenidos: “…Understanding the major causes of fraud -- Common myths and misconceptions about financial fraud -- Myth 1-the impact of fraud is insignificant -- Myth 2-fraud is very hard to detect -- Myth 3-prosecution completely deters fraud -- Myth 4-preventing fraud is only important for big institutions -- Myth 5-large companies are the common targets of fraud -- Interpreting financial reports -- Horizontal or trend analysis -- Vertical analysis -- Competitor and industry analysis -- Cash flow analysis -- Learning how fraudulent transactions affect overall financial report integrity -- Fictitious revenues -- Improper capitalization of expenses -- Misrepresentation of liabilities and debt -- Detecting and preventing fraudulent transactions and anomalies -- Tone at the top -- Implementing strong internal controls -- Management review -- Ratio analysis -- Utilizing data analytics and machine learning in fraud detection -- Summary -- Further reading -- Part 3: Modern Strategies to Manage the Data Integrity of Finance Systems -- Chapter 8: Using Database Locking Techniques for Financial Transaction Integrity -- Technical requirements -- Getting started with SQL -- Installing PostgreSQL -- Creating a database -- Creating a table -- Inserting data into the table -- Learning how race conditions impact the transaction integrity of financial systems -- Reviewing how database locks prevent financial transaction integrity issues -- Guaranteeing transaction integrity with database locks -- Best practices when using database locks -- Summary -- Further reading -- Chapter 9: Using Managed Ledger Databases for Finance Data Integrity -- Technical requirements -- Introduction to ledger databases -- Creating an AWS account -- Creating an S3 bucket -- Creating the Amazon QLDB ledger -- Reviewing the internals of ledger databases -- Getting the digest -- Creating a table…”

Tabla de Contenidos: “…-- 8.1.1 The five stages of the Datashader rendering pipeline -- 8.1.2 Creating a Datashader Visualization -- 8.2 Plotting location data as an interactive heatmap -- 8.2.1 Preparing geographic data for map tiling -- 8.2.2 Creating the interactive heatmap -- Summary -- Part 3: Extending and deploying Dask -- Chapter 9: Working with Bags and Arrays -- 9.1 Reading and parsing unstructured data with Bags -- 9.1.1 Selecting and viewing data from a Bag -- 9.1.2 Common parsing issues and how to overcome them -- 9.1.3 Working with delimiters -- 9.2 Transforming, filtering, and folding elements -- 9.2.1 Transforming elements with the map method -- 9.2.2 Filtering Bags with the filter method -- 9.2.3 Calculating descriptive statistics on Bags -- 9.2.4 Creating aggregate functions using the foldby method -- 9.3 Building Arrays and DataFrames from Bags -- 9.4 Using Bags for parallel text analysis with NLTK -- 9.4.1 The basics of bigram analysis -- 9.4.2 Extracting tokens and filtering stopwords -- 9.4.3 Analyzing the bigrams -- Summary -- Chapter 10: Machine learning with Dask-ML -- 10.1 Building linear models with Dask-ML -- 10.1.1 Preparing the data with binary vectorization -- 10.1.2 Building a logistic regression model with Dask-ML -- 10.2 Evaluating and tuning Dask-ML models -- 10.2.1 Evaluating Dask-ML models with the score method -- 10.2.2 Building a naïve Bayes classifier with Dask-ML -- 10.2.3 Automatically tuning hyperparameters -- 10.3 Persisting Dask-ML models -- Summary -- Chapter 11: Scaling and deploying Dask -- 11.1 Building a Dask cluster on Amazon AWS with Docker -- 11.1.1 Getting started…”

Tabla de Contenidos: “…-- RESTORATION PLANS -- Projects that Show Losses in Wetland Area -- Projects That Replace Functional Wetland Habitat with Modified Wetland Habitat -- CONCLUSIONS CONCERNING RESTORATION PLANNING -- IMPLEMENTATION OF RESTORATION PROJECTS -- Assessing Success -- Summary of Trials -- Conclusions Concerning Implementation -- PROSPECTS FOR THE FUTURE -- ACKNOWLEDGMENTS -- References -- Chapter 37 Restoration of Degraded Lands in the Amazon Basin -- NATURAL DISTURBANCES IN AMAZONIA -- DISTURBANCE BY HUMANS IN AMAZONIA…”

Tabla de Contenidos: “…5) Keep A Record of The Links of Prospects' Posts (Linkedin Tip) -- 6) Send A Video Message to All Current Prospects (Linkedin &amp -- Sales Nav Tip) -- 7) Add A Link To Your Linkedin Profile (Linkedin Tip) -- 8) Start A Newsletter (Linkedin Tip) -- 9) Share A Photo Of Yourself To Help People Get To Know You (Linkedin Tip) -- 10) Check your profile Views (Sales Nav Tip) -- Chapter 29 Social Selling Top Tips -- 1) Create Your Own Billboard Linkedin Profile Banner -- 2) Have an Elevator Pitch Style Profile Summary -- 3) Comment on Relevant Posts Every Single Day -- 4) Write a Post Every Single Day -- 5) Share Videos On Linkedin -- 6) Customise your Linkedin Profile URL -- 7) Add a Link to your Profile in your Email Signature -- Chapter 30 Building A Strong Linkedin Profile -- Chapter 31 Cold Calling Is Like Blockbuster -- Chapter 32 Social Selling In 15 Minutes Per Day -- 1 - Grow Your Network (Five minutes) -- 2 - Share &amp -- Create Content (Five minutes) -- 3 - Social Post Engagement (Five minutes) -- Chapter 33 The ABC's Of Social Selling -- Please leave an Amazon review! -- Working with Daniel Disney -- Acknowledgements -- Recommended Reading -- Index -- EULA…”

Tabla de Contenidos: “…Chapter 13 - Sustainability-focused Innovation13.1 Introduction13.2 Evolving Market Orientation Towards Sustainability - Gen Z 13.3 Sustainability - A New Secular Growth Driver 13.4 Success Stories - Sustainability Focused Innovation 13.4.1 The Procter & Gamble Company (P&G) 13.4.2 Patagonia 13.4.3 Braskem (Brazil)13.4.4 Colorifix (UK) 13.5 Concluding Remarks13.6 References Part VIII - Case StudiesCase 1: Amgen - Biosimilar Innovations - By Kavya Sivan Case 2: FedEx: Innovation Through Sustained Adaptability - By Alaina GregoryCase 3: Reliance Jio: From 4G to Digital Innovation - By Hursh MotwaniCase 4: Stryker Case Study: Design Thinking Response to COVID-19 - By Kyle Geiger Case 5: Whirlpool - A History of Sustained Innovation from Within - By Malik AbbasiCase 6: Apple's Swift: A Programming Language Innovation for the Future - By Maxwell CornellierCase 7: Microsoft: The Age of Nadella - By Serena Wang and Minnie SunCase 8: The Procter & Gamble Company - A Unique Innovation Approach - By Minnie Sun and Serena WangCase 9: Timberland - Sustainable Innovation - By Drew ArnsonCase 10: Zara-Inditex - Fast-Fashion Done Right - By Rocco PelàCase 11: Patagonia - Leader of a Sustainable Business - By Suzanna Yik Case 12: Amazon - Head in the Cloud: Transformation Through Leadership's Lens - By William McCroneCase 13: Ericsson's Innovation through M&A - By Derek KuoCase 14: Samsung's New Age Innovation Using Organization and Culture - By Derek KuoCase 15: Sun Pharma Industries - Innovation through Specialty acquisition strategy, technology, leadership, and culture - By Katie KuhlmanCase 16: Ecovative Design - Sustainable Business - By Daniel Meeks…”

“…Amazon.com ’s Top-Selling DSP Book for Seven Straight Years—Now Fully Updated! …”

Tabla de Contenidos: “…Vol. I: Fasc. IX: amitto-Amyzon…”

Enlace del recurso

Tabla de Contenidos: “…Use case 3 - real-time fraud detection -- Summary -- Questions -- Chapter 7: Concurrency in Java for Machine Learning -- Technical requirements -- An overview of ML computational demands and Java concurrency alignment -- The intersection of Java concurrency and ML demands -- Parallel processing - the key to efficient ML workflows -- Handling big data with ease -- An overview of key ML techniques -- Case studies - real-world applications of Java concurrency in ML -- Java's tools for parallel processing in ML workflows -- DL4J - pioneering neural networks in Java -- Java thread pools for concurrent data processing -- Achieving scalable ML deployments using Java's concurrency APIs -- Best practices for thread management and reducing synchronization overhead -- Generative AI and Java - a new frontier -- Leveraging Java's concurrency model for efficient generative AI model training and inference -- Summary -- Questions -- Chapter 8: Microservices in the Cloud and Java's Concurrency -- Technical requirements -- Core principles of microservices - architectural benefits in cloud platforms -- Foundational concepts - microservices architecture and its benefits in the cloud -- Real-world examples - Netflix's evolution and Amazon's flexibility -- Essential Java concurrency tools for microservice management -- Concurrency tools - an exploration of Java's concurrency tools that are tailored for microservices -- Challenges and solutions in microservices concurrency -- Bottlenecks - diagnosing potential challenges in concurrent microservices architectures -- Consistency - ensuring data consistency and smooth inter-service communication -- Resilience - achieving system resilience and fault tolerance -- Practical design and implementation - building effective Java microservices -- Strategic best practices - deploying and scaling microservices…”

Tabla de Contenidos: “…Propositions/acts passed by other countries -- Special regulations for children and minority groups -- Promoting equality for minority groups -- Educational initiatives -- International AI initiatives and cooperative actions -- Next steps for trustworthy AI -- Proposed solutions and improvement areas -- Summary -- Further reading -- Part 2: Building Blocks and Patterns for a Next-Generation AI Ecosystem -- Chapter 4: Privacy Management in Big Data and Model Design Pipelines -- Technical requirements -- Designing privacy-proven pipelines -- Big data pipelines -- Architecting model design pipelines -- Incremental/continual ML training and retraining -- Scaling defense pipelines -- Enabling differential privacy in scalable architectures -- Designing secure microservices -- Vault -- Cloud security architecture -- Developing in a sandbox environment -- Managing secrets in cloud orchestration services -- Monitoring and threat detection -- Summary -- Further reading -- Chapter 5: ML Pipeline, Model Evaluation, and Handling Uncertainty -- Technical requirements -- Understanding different components of ML pipelines -- ML tasks and algorithms -- Uncertainty in ML -- Types of uncertainty -- Quantifying uncertainty -- Uncertainty in regression tasks -- Uncertainty in classification tasks -- Tools for benchmarking and quantifying uncertainty -- The Uncertainty Baselines library -- Keras-Uncertainty -- Robustness metrics -- Summary -- References -- Chapter 6: Hyperparameter Tuning, MLOps, and AutoML -- Technical requirements -- Introduction to AutoML -- Introducing H2O AutoML -- Understanding Amazon SageMaker Autopilot -- The need for MLOps -- TFX - a scalable end-to-end platform for AI/ML workflows -- Understanding Kubeflow -- Katib for hyperparameter tuning -- Vertex AI -- Datasets -- Training and experiments in Vertex AI -- Vertex AI Workbench -- Summary…”

Tabla de Contenidos: “…López Sobrado -- El patrimonio artístico de la iglesia de Navalcarnero durante la Guerra Civil Española / J.L. Blanco Mozo) -- Destrucción y reconstrucción arquitectónica (La Guerra Civil como punto de inflexión. …”

Tabla de Contenidos: “…Chile, la fortuna crítica y retos renovados (Fernado Pérez Oyarzun), p. 270 ; Viviendas sociales Quinta Monroy, Iquique (Alejandro Aravena), p. 280 ; Museo del desierto de Atacama, Antofagasta (Coz, Polidura & Volante), p. 282 ; Capilla del Retiro, Auco, Los Andes (Cristián Undurraga, p. 286 ; Sede de posgrado, Peñaloén, Santiago de Chile (José Cruz Ovalle), p. 290 ; Edificio de oficinas, Providencia, Santiago de Chile (Alberto Mozó), p. 294 ; Casa Wall, Santiago de Chile (FAR, Frohn & Rojas), p. 298 ; Casa Parr, Chiguayante, Concepción (Pezo & Von Ellrichshausen), p. 302 ; Casa de cobre 2, Talca (Smiljan Radic), p. 306 ; Caseta y miradores turísticos, Panguilemo, Talca (Grupo Talca), p. 310 ; Hotel Remota, Puerto Natales, Patagonia (Germán del Sol), p. 314.…”

“…Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much more Key Features Acquire highly sought-after skills of the trade, including Python, SQL, statistics, and machine learning Gain the confidence to explain complex statistical, machine learning, and deep learning theory Extend your expertise beyond model development with version control, shell scripting, and model deployment fundamentals Purchase of the print or Kindle book includes a free PDF eBook Book Description The data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. …”

“…The book includes short vignettes about the financial practices of organizations such as Steel Authority of India Limited, Hindalco Industries Limited, Amazon.com and Tata Motors; useful facts and rules of thumb, and provide insights into financial practices in organizations like Godrej Industries Ltd, Infosys Technologies Ltd and ICICI Bank; solved examples, solved problems and excel worksheets to help enhance students' understanding of numerical and MS Excel-based problems…”

Tabla de Contenidos: “…Chapter 18 Conducting Post-Incident Reviews -- Going beyond Root Cause Analysis -- Stepping through an Incident -- Succeeding at Post-Incident Reviews -- Scheduling it immediately -- Including everyone -- Keeping it blameless -- Reviewing the timeline -- Asking tough questions -- Acknowledging hindsight bias -- Taking notes -- Making a plan -- Part 5 Tooling Your DevOps Practice -- Chapter 19 Adopting New Tools -- Integrating with Open Source Software -- Opening community innovation -- Licensing open source -- Deciding on open source -- Transitioning to New Languages -- Compiling and interpreting languages -- Parallelizing and multithreading -- Programming functionally -- Managing memory -- Choosing languages wisely -- Chapter 20 Managing Distributed Systems -- Working with Monoliths and Microservices -- Choosing a monolithic architecture first -- Evolving to microservices -- Designing Great APIs -- What's in an API -- Focusing on consistent design -- Containers: Much More than Virtual Machines -- Understanding containers and images -- Deploying microservices to containers -- Comparing orchestrators: Harmonize the hive -- Configuring containers -- Monitoring containers: Keeping them alive until you kill them -- Securing containers: These boxes need a lock -- Chapter 21 Migrating to the Cloud -- Automating DevOps in the Cloud -- Taking your DevOps culture to the cloud -- Learning through adoption -- Benefitting from cloud services -- Cumulus, Cirrus, and Steel: Types of Clouds -- Public cloud -- Private cloud -- Hybrid cloud -- Cloud as a Service -- Infrastructure as a Service -- Platform as a Service -- Software as a Service -- Choosing the Best Cloud Service Provider -- Amazon Web Services (AWS) -- Microsoft Azure -- Google Cloud Platform (GCP) -- Finding Tools and Services in the Cloud -- Part 6 The Part of Tens…”