Texto completo en Odilo

Texto completo en Odilo

Texto completo en Odilo

“…En este libro se presentan artículos relacionados con: el espíritu empresarial en la educación doctoral de Venezuela; la lúdica en la formación de empresarios; la educación sobre empresas familiares en la Universidad Icesi; la creación de empresas Spin Off a partir de resultados de investigación en universidades de Colombia; modelos de empresa exitosos en Colombia y las elecciones clave en su innovación; los factores de éxito de las MiPyMes del Sur Occidente Colombiano; y la tubería empresarial en algunos países del Caribe…”

Tabla de Contenidos: “…-- Product recommendations -- Loading the dataset with NumPy -- Downloading the example code -- Implementing a simple ranking of rules -- Ranking to find the best rules -- A simple classification example -- What is classification? …”

Tabla de Contenidos: “…References -- Chapter 9: Advanced Training Concepts -- Evaluating and improving throughput -- Calculating model TFLOPS -- Using Flash Attention to speed up your training runs -- Speeding up your jobs with compilation -- Integrating compilation into your PyTorch scripts -- Amazon SageMaker Training Compiler and Neo -- Best practices for compilation -- Running compiled models on Amazon's Trainium and Inferentia custom hardware -- Solving for an optimal training time -- Summary -- References -- Part 4: Evaluate Your Model -- Chapter 10: Fine-Tuning and Evaluating -- Fine-tuning for language, text, and everything in between -- Fine-tuning a language-only model -- Fine-tuning vision-only models -- Fine-tuning vision-language models -- Evaluating foundation models -- Model evaluation metrics for vision -- Model evaluation metrics in language -- Model evaluation metrics in joint vision-language tasks -- Incorporating the human perspective with labeling through SageMaker Ground Truth -- Reinforcement learning from human feedback -- Summary -- References -- Chapter 11: Detecting, Mitigating, and Monitoring Bias -- Detecting bias in ML models -- Detecting bias in large vision and language models -- Mitigating bias in vision and language models -- Bias mitigation in language - counterfactual data augmentation and fair loss functions -- Bias mitigation in vision - reducing correlation dependencies and solving sampling issues -- Monitoring bias in ML models -- Detecting, mitigating, and monitoring bias with SageMaker Clarify -- Summary -- References -- Chapter 12: How to Deploy Your Model -- What is model deployment? …”

Tabla de Contenidos: “…JSON audit filter -- Audit logging access -- Audit case study -- MongoDB CLI -- Mongo shell and audit logs -- Summary -- Chapter 5: Advanced Querying -- Technical requirements -- MongoDB CRUD operations -- CRUD using the Ruby driver -- CRUD in Mongoid -- CRUD using the Python driver -- CRUD using PyMODM -- CRUD using the PHP driver -- CRUD using Doctrine -- Update operators -- Smart querying -- Change streams -- Introduction -- Queryable encryption -- Summary -- Chapter 6: Multi-Document ACID Transactions -- Technical requirements -- Transactions background -- Exploring ACID properties -- Atomicity -- Consistency -- Isolation -- Durability -- When do we need ACID in MongoDB? …”

Tabla de Contenidos: “…Array-Oriented Programming with NumPy -- 7.1 Introduction -- 7.2 Creating arrays from Existing Data -- 7.3 array Attributes -- 7.4 Filling arrays with Specific Values -- 7.5 Creating arrays from Ranges -- 7.6 List vs. array Performance: Introducing %timeit -- 7.7 array Operators -- 7.8 NumPy Calculation Methods -- 7.9 Universal Functions -- 7.10 Indexing and Slicing -- 7.11 Views: Shallow Copies -- 7.12 Deep Copies -- 7.13 Reshaping and Transposing -- 7.14 Intro to Data Science: pandas Series and DataFrames -- 7.14.1 pandas Series -- 7.14.2 DataFrames -- 7.15 Wrap-Up -- 8. …”

Tabla de Contenidos: “…Handling duplicate users -- Authenticating users -- Retrieving users from the database -- Authenticating a user's password -- Splitting out the services -- Creating a Flask server -- Web sessions -- Creating a sign-up page -- Logging users out -- Logging users in -- Prepending the email to our messages -- Summary -- Chapter 7: Online Video Game Store with Django -- Setting up the development environment -- Installing Node.js -- Creating a new Django project -- Exploring the Django project's structure -- Diving into the SQLite -- Looking at the project's package directory -- Creating the project's main app -- Installing client-side dependencies -- Adding login and logout views -- Testing the login/logout forms -- Creating new users -- Creating the views of the user creation -- Creating the game data model -- Creating the price list data model -- Creating the game list and details page -- Adding list games views -- Creating the shopping cart model -- Creating the shopping cart form -- Creating the shopping cart view -- Adding items to the cart -- Summary -- Chapter 8: Order Microservice -- Setting up the environment -- Creating the service models -- Creating the model's managers -- Learning to test -- Creating the test files -- Testing the cancel order function -- Testing the get all orders function -- Getting customer's incomplete orders -- Getting customer's completed orders -- Getting orders by status -- Getting orders by period -- Setting the order's next status -- Setting the order's status -- Creating the order model serializer -- Creating the views -- Adding views -- Setting up the service URLs -- Integration with the game online store -- Testing the integration -- Deploying to AWS -- Modifying the settings.py file -- Deploying the order service -- Summary -- Chapter 9: Notification Serverless Application -- Setting up the environment…”

Tabla de Contenidos: “…Unconstrained Optimization -- [Advanced Section] Reducing a Constrained Problem to an Unconstrained Optimization Problem -- Absolute and Local Minima of a Function -- Optimization Algorithms -- Line Search and Trust Region -- Steepest Descent -- The Gradient Descent Algorithm -- Choosing the Right Learning Rate -- Variations of GD -- Mini-Batch GD -- Stochastic GD -- How to Choose the Right Mini-Batch Size -- [Advanced Section] SGD and Fractals -- Exercises -- Conclusion -- Chapter 2: Hands-on with a Single Neuron -- A Short Overview of a Neuron's Structure -- A Short Introduction to Matrix Notation -- An Overview of the Most Common Activation Functions -- Identity Function -- Sigmoid Function -- Tanh (Hyperbolic Tangent) Activation Function -- ReLU (Rectified Linear Unit) Activation Function -- Leaky ReLU -- The Swish Activation Function -- Other Activation Functions -- How to Implement a Neuron in Keras -- Python Implementation Tips: Loops and NumPy -- Linear Regression with a Single Neuron -- The Dataset for the Real-World Example -- Dataset Splitting -- Linear Regression Model -- Keras Implementation -- The Model's Learning Phase -- Model's Performance Evaluation on Unseen Data -- Logistic Regression with a Single Neuron -- The Dataset for the Classification Problem -- Dataset Splitting -- The Logistic Regression Model -- Keras Implementation -- The Model's Learning Phase -- The Model's Performance Evaluation…”

Texto completo en Odilo

Texto completo en Odilo

Texto completo en Odilo

Texto completo en Odilo

Texto completo en Odilo

Texto completo en Odilo

Texto completo en Odilo

Texto completo en Odilo

Texto completo en Odilo