Practical Machine Learning With H2o

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Practical Machine Learning With H2o

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Author : Darren Cook
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-05

Practical Machine Learning With H2o written by Darren Cook and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-05 with Computers categories.

Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that’s easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms. If you’re familiar with R or Python, know a bit of statistics, and have some experience manipulating data, author Darren Cook will take you through H2O basics and help you conduct machine-learning experiments on different sample data sets. You’ll explore several modern machine-learning techniques such as deep learning, random forests, unsupervised learning, and ensemble learning. Learn how to import, manipulate, and export data with H2O Explore key machine-learning concepts, such as cross-validation and validation data sets Work with three diverse data sets, including a regression, a multinomial classification, and a binomial classification Use H2O to analyze each sample data set with four supervised machine-learning algorithms Understand how cluster analysis and other unsupervised machine-learning algorithms work

Practical Machine Learning With H2o

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Author : Darren Cook
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-05

Practical Machine Learning With H2o written by Darren Cook and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-05 with Computers categories.

"Learn how to construct machine learning and data analysis scalable for big data using H2O software, using sample data sets and several machine-learning techniques including deep learning, random forests, unsupervised learning and ensemble learning."--Provided by publisher.

Practical Automated Machine Learning Using H2o Ai

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Author : Salil Ajgaonkar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-09-26

Practical Automated Machine Learning Using H2o Ai written by Salil Ajgaonkar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-26 with Computers categories.

Accelerate the adoption of machine learning by automating away the complex parts of the ML pipeline using H2O.ai Key FeaturesLearn how to train the best models with a single click using H2O AutoMLGet a simple explanation of model performance using H2O ExplainabilityEasily deploy your trained models to production using H2O MOJO and POJOBook 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. You'll begin by understanding how H2O's AutoML simplifies the implementation of ML by providing a simple, easy-to-use interface to train and use ML models. Next, you'll see how AutoML automates the entire process of training multiple models, optimizing their hyperparameters, as well as explaining their performance. As you advance, you'll 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, you'll take a hands-on approach to implementation using H2O that'll enable you to set up your ML systems in no time. By the end of this H2O book, you'll 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 learnGet to grips with H2O AutoML and learn how to use itExplore the H2O Flow Web UIUnderstand how H2O AutoML trains the best models and automates hyperparameter optimizationFind out how H2O Explainability helps understand model performanceExplore H2O integration with scikit-learn, the Spring Framework, and Apache StormDiscover how to use H2O with Spark using H2O Sparkling WaterWho 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 you're someone who wants to incorporate machine learning into your software system but don't know where to start or don't have much expertise in the domain of ML, then you'll find this book useful. Basic knowledge of statistics and programming is beneficial. Some understanding of ML and Python will be helpful.

Multivariate Statistical Machine Learning Methods For Genomic Prediction

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Author : Osval Antonio Montesinos López
language : en
Publisher: Springer Nature
Release Date : 2022-02-14

Multivariate Statistical Machine Learning Methods For Genomic Prediction written by Osval Antonio Montesinos López and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-14 with Technology & Engineering categories.

This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.

Iot As A Service

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Author : Walayat Hussain
language : en
Publisher: Springer Nature
Release Date : 2022-07-07

Iot As A Service written by Walayat Hussain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-07 with Computers categories.

This book constitutes the refereed post-conference proceedings of the 7th International Conference on IoT as a Service, IoTaaS 2021, which took place in Sydney, Australia, in December 2021. Due to COVID-19 pandemic the conference was held virtually. The 17 revised full papers were carefully reviewed and selected from 129 submissions. The papers are divided in content-related tracks: Intelligent IoT communication solutions; Social Internet of Things: security, management; Machine learning prediction and recommendation in IoT.

Intelligent Information And Database Systems

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Author : Ngoc Thanh Nguyen
language : en
Publisher: Springer
Release Date : 2019-04-02

Intelligent Information And Database Systems written by Ngoc Thanh Nguyen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-02 with Computers categories.

The two-volume set LNAI 11431 and 11432 constitutes the refereed proceedings of the 11th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2019, held in Yogyakarta, Indonesia, in April 2019. The total of 124 full papers accepted for publication in these proceedings were carefully reviewed and selected from 309 submissions. The papers of the first volume are organized in the following topical sections: knowledge engineering and semantic web; text processing and information retrieval; machine learning and data mining; decision support and control systems; computer vision techniques; and databases and intelligent information systems. The papers of the second volume are divided into these topical sections: collective intelligence for service innovation, technology management, E-learning, and fuzzy intelligent systems; data structures modelling for knowledge representation; advanced data mining techniques and applications; intelligent information systems;intelligent methods and artificial intelligence for biomedical decision support systems; intelligent and contextual systems; intelligent systems and algorithms in information sciences; intelligent supply chains and e-commerce; sensor networks and Internet of Things; analysis of image, video, movements and brain intelligence in life sciences; and computer vision and intelligent systems.

Agents And Artificial Intelligence

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Author : Ana Paula Rocha
language : en
Publisher: Springer Nature
Release Date : 2021-03-13

Agents And Artificial Intelligence written by Ana Paula Rocha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-13 with Computers categories.

This book contains the revised and extended versions of selected papers from the 12th International Conference on Agents and Artificial Intelligence, ICAART 2020, held in Valletta, Malta, in February 2020. Overall, 45 full papers, 74 short papers, and 56 poster papers were carefully reviewed and selected from 276 initial submissions. 23 of the 45 full papers were selected to be included in this volume. These papers deal with topics such as agents and artificial intelligence.

Physiological And Biotechnological Aspects Of Extremophiles

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Author : Richa Salwan
language : en
Publisher: Academic Press
Release Date : 2020-06-04

Physiological And Biotechnological Aspects Of Extremophiles written by Richa Salwan and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-04 with Science categories.

Physiological and Biotechnological Aspects of Extremophiles highlights the current and topical areas of research in this rapidly growing field. Expert authors from around the world provide the latest insights into the mechanisms of these fascinating organisms use to survive.The vast majority of extremophiles are microbes which include archaea, bacteria and some eukaryotes. These microbes live under chemical and physical extremes that are usually lethal to cellular molecules, yet they manage to survive and even thrive. Extremophiles have important practical uses. They are a valuable source of industrially important enzymes and recent research has revealed novel mechanisms and biomolecular structures with a broad range of potential applications in biotechnology, biomining, and bioremediation.Aimed at research scientists, students, microbiologists, and biotechnologists, this book is an essential reading for scientists working with extremophiles and a recommended reference text for anyone interested in the microbiology, bioprospecting, biomining, biofuels, and extremozymes of these organisms. - Shows the implications of the physiological adaptations of microbes from extreme habitats that are largely contributed by their biomolecules from basic to applied research - Provides in-depth knowledge of genomic plasticity and proteome of different extremophiles - Gives detailed and comprehensive insight about use of genetic engineering as well as genome editing for industrial applications

Practical Machine Learning For Computer Vision

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Author : Valliappa Lakshmanan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-07-21

Practical Machine Learning For Computer Vision written by Valliappa Lakshmanan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-21 with Computers categories.

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras. You'll learn how to: Design ML architecture for computer vision tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models

Theoretical And Conceptual Frameworks In Ict Research

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Author : Kandiero (PhD), Agripah
language : en
Publisher: IGI Global
Release Date : 2023-12-29

Theoretical And Conceptual Frameworks In Ict Research written by Kandiero (PhD), Agripah and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-29 with Reference categories.

Research that is based on appropriate theoretical or conceptual frameworks ensures valid and credible research objectives and the production of relevant results that complement existing literature on a research problem. Innovative and relevant knowledge is produced using appropriate theories and concepts. Despite the importance of theoretical and conceptual frameworks to research, many researchers have difficulties applying them appropriately in their research. Researchers in information systems have limited exposure to theories of societal and human development that should guide them in applying their knowledge of information systems to address real-world problems. Theoretical and Conceptual Frameworks in ICT Research presents a collection of practical case applications of theoretical and conceptual frameworks in information systems research. It guides researchers of information systems to explore and use appropriate theoretical frameworks. This book further tests different theories and frameworks and recommends their effectiveness and improvement and identifies context-specific theoretical and conceptual frameworks. Covering topics such as decision electronic health record implementation, institution management, and technology adoption, this premier reference source is an essential resource for policymakers, educators and advanced-level students of higher education, information systems professionals, librarians, researchers, and academicians.