Envío gratis siempre a todo México.
Haz clic para hacer zoom
Not Available
Salil Ajgaonkar
Practical Automated Machine Learning Using H2O.ai
Cargando comentarios…
Comparte
$634
$571
Envío gratis siempre
Comentarios
Cargando el resumen…
Cargando comentarios…
product
1879510Practical Automated Machine Learning Using H2O.aihttps://www.gandhi.com.mx/practical-automated-machine-learning-using-h2o-ai/phttps://gandhi.vtexassets.com/arquivos/ids/231188/143279a8-60ad-4523-8021-28f1563836cd.jpg?v=638333895360400000571634MXNPackt PublishingInStock/Ebooks/1847887Practical Automated Machine Learning Using H2O.ai571634https://www.gandhi.com.mx/practical-automated-machine-learning-using-h2o-ai/phttps://gandhi.vtexassets.com/arquivos/ids/231188/143279a8-60ad-4523-8021-28f1563836cd.jpg?v=638333895360400000InStockMXN99999DIEbook20229781801076357_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_<p><strong>Accelerate the adoption of ML by automating away the complex parts of the ML pipeline using H2O.ai</strong></p><h4>Key Features</h4><ul><li>Learn how to train the best models with a single click using H2O AutoML</li><li>Get simple explanation of model performance using H2O Explainability</li><li>Easily deploy your trained models to production using H2O MOJO and POJO</li></ul><h4>Book Description</h4><p>Machine Learning has come a long way from being in academic studies to adoption by major tech companies. In this day and age, with the amount of data that is generated over the internet and the benefits that ML predictions can provide a business, machine learning implementation has become a low hanging fruit that everyone is striving for. The complex mathematics behind it, however, can be discouraging for a lot of users. This is what H2O tries to hide away by automating it. This encapsulation helps developers focus on results rather than handling complexities.</p><p>H2Os AutoML simplifies the implementation of machine learning by providing a simple easy-to-use interface to train and use machine learning models. It automates the whole process of training multiple models, optimizing their hyperparameters as well as explaining their performance. This book provides a hands-on approach to implementation using H2O that will help you set up your ML systems in no time.</p><p>By the end of this book, you will be able to train and use your machine learning models using H2O AutoML right from experimentation all the way to production without a single need to learn or understand complex statistics or data-science.</p><h4>What you will learn</h4><ul><li>Learn how to use H2O AutoML</li><li>Explore the H2O Flow Web UI</li><li>Understand how H2O AutoML trains the best models</li><li>Understand how H2O AutoML automates hyperparameter optimization</li><li>Discover how H2O Explainability helps understand model performance</li><li>Explore H2O integration with Scikit-Learn, Spring and Apache Storm</li><li>Learn how to use H2O with Spark using H2O-Sparkling Water</li><li>Learn how to deploy your models to production using H2O MOJO and POJO</li></ul><h4>Who This Book Is For</h4><p>This book is for engineers and data scientists that want to quickly adopt machine learning into their products without worrying about the internal intricacies of training machine learning models. If you are someone who wants to incorporate machine learning into your software system but dont know where to start or dont have much expertise in the domain of ML then you will find this book useful. Basic knowledge of statistics and programming is beneficial. Some understanding of ML and Python will be helpful.</p><h4>Table of Contents</h4><ol><li>Understanding H2O AutoML Basics</li><li>Working with H2O Flow (H2Os Web UI)</li><li>Understanding Data Processing</li><li>Understanding H2O AutoML Training and Architecture</li><li>Understanding AutoML Algorithms</li><li>Understanding H2O AutoML Leaderboard and Other Performance Metrics</li><li>Working with Model Explainability</li><li>Exploring Optional Parameters for H2O AutoML</li><li>Exploring Miscellaneous Features in H2O AutoML</li><li>Working with Plain Old Java Objects (POJOs)</li><li>Working with Model Object, Optimized (MOJO)</li><li>Working with H2O AutoML and Apache Spark</li><li>Using H2O AutoML with Other Technologies</li></ol>...(*_*)9781801076357_<p>Accelerate the adoption of machine learning by automating away the complex parts of the ML pipeline using H2O.ai Key Features Learn how to train the best models with a single click using H2O AutoML Get a simple explanation of model performance using H2O Explainability Easily deploy your trained models to production using H2O MOJO and POJO Book Description With the huge amount of data being generated over the internet and the benefits that Machine Learning (ML) predictions bring to businesses, ML implementation has become a low-hanging fruit that everyone is striving for. The complex mathematics behind it, however, can be discouraging for a lot of users. This is where H2O comes in it automates various repetitive steps, and this encapsulation helps developers focus on results rather than handling complexities. Youll begin by understanding how H2Os AutoML simplifies the implementation of ML by providing a simple, easy-to-use interface to train and use ML models. Next, youll see how AutoML automates the entire process of training multiple models, optimizing their hyperparameters, as well as explaining their performance. As you advance, youll find out how to leverage a Plain Old Java Object (POJO) and Model Object, Optimized (MOJO) to deploy your models to production. Throughout this book, youll take a hands-on approach to implementation using H2O thatll enable you to set up your ML systems in no time. By the end of this H2O book, youll be able to train and use your ML models using H2O AutoML, right from experimentation all the way to production without a single need to understand complex statistics or data science. What you will learn Get to grips with H2O AutoML and learn how to use it Explore the H2O Flow Web UI Understand how H2O AutoML trains the best models and automates hyperparameter optimization Find out how H2O Explainability helps understand model performance Explore H2O integration with scikit-learn, the Spring Framework, and Apache Storm Discover how to use H2O with Spark using H2O Sparkling Water Who this book is for This book is for engineers and data scientists who want to quickly adopt machine learning into their products without worrying about the internal intricacies of training ML models. If youre someone who wants to incorporate machine learning into your software system but dont know where to start or dont have much expertise in the domain of ML, then youll find this book useful. Basic knowledge of statistics and programming is beneficial. Some understanding of ML and Python will be helpful.</p>...9781801076357_Packt Publishinglibro_electonico_bb3c5965-2d6d-3eb1-8694-bcde8d806eb1_9781801076357;9781801076357_9781801076357Salil AjgaonkarInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/packt-epub-1ced638b-bca5-4fed-85c8-784ddf3e0276.epub2022-09-26T00:00:00+00:00Packt Publishing