Описание: The proliferation of pipelines to transport oil and natural gas represents a major area of contestation in the landscape of energy development.
Get to grips with automated machine learning and adopt a hands-on approach to AutoML implementation and associated methodologies
Key Features:
Get up to speed with AutoML using OSS, Azure, AWS, GCP, or any platform of your choice
Eliminate mundane tasks in data engineering and reduce human errors in machine learning models
Find out how you can make machine learning accessible for all users to promote decentralized processes
Book Description:
Every machine learning engineer deals with systems that have hyperparameters, and the most basic task in automated machine learning (AutoML) is to automatically set these hyperparameters to optimize performance. The latest deep neural networks have a wide range of hyperparameters for their architecture, regularization, and optimization, which can be customized effectively to save time and effort.
This book reviews the underlying techniques of automated feature engineering, model and hyperparameter tuning, gradient-based approaches, and much more. You'll discover different ways of implementing these techniques in open source tools and then learn to use enterprise tools for implementing AutoML in three major cloud service providers: Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform. As you progress, you'll explore the features of cloud AutoML platforms by building machine learning models using AutoML. The book will also show you how to develop accurate models by automating time-consuming and repetitive tasks in the machine learning development lifecycle.
By the end of this machine learning book, you'll be able to build and deploy AutoML models that are not only accurate, but also increase productivity, allow interoperability, and minimize feature engineering tasks.
What You Will Learn:
Explore AutoML fundamentals, underlying methods, and techniques
Assess AutoML aspects such as algorithm selection, auto featurization, and hyperparameter tuning in an applied scenario
Find out the difference between cloud and operations support systems (OSS)
Implement AutoML in enterprise cloud to deploy ML models and pipelines
Build explainable AutoML pipelines with transparency
Understand automated feature engineering and time series forecasting
Automate data science modeling tasks to implement ML solutions easily and focus on more complex problems
Who this book is for:
Citizen data scientists, machine learning developers, artificial intelligence enthusiasts, or anyone looking to automatically build machine learning models using the features offered by open source tools, Microsoft Azure Machine Learning, AWS, and Google Cloud Platform will find this book useful. Beginner-level knowledge of building ML models is required to get the best out of this book. Prior experience in using Enterprise cloud is beneficial.
Chapter Goal: To introduce what hyperparameters are, how they can affect themodel training. Also gives an intuition of how hyperparameter affects general machinelearning algorithms, and what value should we choose as per the training dataset.Sub - Topics1. Introduction to hyperparameters.2. Why do we need to tune hyperparameters3. Specific algorithms and their hyperparameters4. Cheatsheet for deciding Hyperparameter of some specific Algorithms. Chapter 2: Brute Force Hyperparameter TuningChapter Goal: To understand the commonly used classical hyperparameter tuningmethods and implement them from scratch, as well as use the Scikit-Learn library to do so.Sub - Topics: 1. Hyperparameter tuning2. Exhaustive hyperparameter tuning methods3. Grid search4. Random search5. Evaluation of models while tuning hyperparameters. Chapter 3: Distributed Hyperparameter OptimizationChapter Goal: To handle bigger datasets and a large number of hyperparameterwith continuous search spaces using distributed algorithms and distributedhyperparameter optimization methods, using Dask Library.Sub - Topics: 1. Why we need distributed tuning2. Dask dataframes3. IncrementalSearchCV Chapter 4: Sequential Model-Based Global Optimization and Its HierarchicalMethodsChapter Goal: A detailed theoretical chapter about SMBO Methods, which usesBayesian techniques to optimize hyperparameter. They learn from their previous iterationunlike Grid Search or Random Search.Sub - Topics: 1. Sequential Model-Based Global Optimization2. Gaussian process approach3. Tree-structured Parzen Estimator(TPE) Chapter 5: Using HyperOptChapter Goal: A Chapter focusing on a library hyperopt that implements thealgorithm TPE discussed in the last chapter. Goal to use the TPE algorithm to optimizehyperparameter and make the reader aware of how it is better than other methods.MongoDB will be used to parallelize the evaluations. Discuss Hyperopt Scikit-Learn and Hyperas with examples.1. Defining an objective function.2. Creating search space.3. Running HyperOpt.4. Using MongoDB Trials to make parallel evaluations.5. HyperOpt SkLearn6. Hyperas Chapter 6: Hyperparameter Generating Condition Generative Adversarial NeuralNetworks(HG-cGANs) and So Forth.Chapter Goal: It is based on a hypothesis of how, based on certain properties of dataset, one can train neural networks on metadata and generate hyperparameters for new datasets. It also summarizes how these newer methods of Hyperparameter Tuning can help AI to develop further.Sub - Topics: 1. Generating Metadata2. Training HG-cGANs3. AI and hyperparameter tuning
Автор: Frenier, Wayne W., Название: Chemical and mechanical methods for pipeline integrity / ISBN: 1613994966 ISBN-13(EAN): 9781613994962 Издательство: Society of Petroleum Engineers Цена: 31350.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing a comprehensive overview of the science and technology behind maintaining pipelines, Chemical and Mechanical Methods of Pipeline Integrity was written for oil and gas professionals responsible for ensuring consistent product delivery. Wayne Frenier details in this new book a variety of pipeline environments and then explores the challenges that require chemical or mechanical intervention. Internal corrosion and the corrosion mechanisms that affect pipeline and facility operations are included in the discussion along with a short introduction to Integrity Management processes. With a strong focus on the connections between the production of hydrocarbons, production facilities, and the pipelines that take the products to the refineries, Chemical and Mechanical Methods of Pipeline Integrity was written for a general technical audience with a basic understanding of chemistry.
Автор: Team Documentation Название: AWS Data Pipeline Developer Guide ISBN: 9888408631 ISBN-13(EAN): 9789888408634 Издательство: Неизвестно Рейтинг: Цена: 17470.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Arbuckle Luk, Emam Khaled El Название: Building an Anonymization Pipeline: Creating Safe Data ISBN: 1492053430 ISBN-13(EAN): 9781492053439 Издательство: Wiley Рейтинг: Цена: 7126.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With this practical book, data architects and engineers will learn how to implement and deploy anonymization solutions within a data collection pipeline. You`ll establish and integrate secure, repeatable anonymization processes into your data flows and analytics in a sustainable manner
Описание: As the second volume of the "Digital Oil & Gas Pipeline: Research and Practice" series of monographs, this book introduces the implementation strategies, examples and technical roadmaps of two important aspects of the Digital Oil & Gas Pipeline construction: pipeline real-time data integration and pipeline network virtual reality system.
Автор: Zhenpei Li Название: Pipeline Spatial Data Modeling and Pipeline WebGIS ISBN: 3030242390 ISBN-13(EAN): 9783030242398 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Поставка под заказ.
Описание: This monograph, which is the first book focusing on 'Digital Oil & Gas Pipeline', introduces the author’s long-term research and practice on this topic. It introduces the latest research on the core technologies of the Digital Oil & Gas Pipeline, such as WebGIS, GIS Web Services, pipeline supervisory control and data acquisition (SCADA), OLE for Process Control, networked virtual reality, and Extensible 3D. The keys to the Digital Oil & Gas Pipeline, including pipeline spatial data model, pipeline WebGIS, integrity of pipeline SCADA and pipeline GIS, pipeline networked virtual reality system, are also elaborated. The knowledge and experience delivered by this monograph will provide a useful reference for readers from the industries in Oil & Gas Storage and Transportation, pipeline automation, GIS, Virtual Reality, and related fields.
Описание: Many sales people, particularly in business-to-business categories, may think that social media is a consumer plaything and not well-suited for use in business.
The Infinite Pipeline demonstrates that social selling is real, it's here, and sales people can learn social sales techniques to improve their effectiveness.
B2B sales people can use the Infinite Pipeline(TM) Sales Development Process to create online relationships for sales success. Stop smiling and dialing, and use social media to engage with prospects by become the answer to their problems by socially surrounding them.
Along with contributing author and #1 social selling salesperson Jill Rowley, Social Media Performance Group presents easy-to-use step-by-step instructions for getting on popular social networking sites and mastering the techniques of social selling, including a plan for your first 30, 60, and 90 days on social media.
This updated sales person edition contains lots of case studies that explain how successful sales people use social selling techniques to prospect and close sales as well as how their companies are creating online communities that help sustain relationships with customers and develop new relationships with customers.
The Infinite Pipeline shows you how to use social media to improve customer satisfaction, start, build, and sustain professional relationships and involve the whole company in sales efforts.
Topics include: Why Social Media for B2B Sales; The Failure of Traditional Sales Metrics; What You Know About Who You Know; No More Smiling and Dialing; and Jill Rowley's 5 Pillars of Social Selling.
Infinite Pipeline provides everything you need to know to supercharge your sales efforts using social selling techniques, showing you how Infinite Pipeline theories and tools work in actual business scenarios.
What Others Are Saying
"Infinite Pipeline offers practical advice for using social media to extend relationship selling online. It's a great way to get crazy-busy prospects to pay attention." -Jill Konrath, author of SNAP Selling and Selling to Big Companies
"Sales is all about relationships and trust. Infinite Pipeline is the 'how to' guide for maximizing social networks to find and build relationships, and generate trust in our digital age." -Sam Richter, best-selling author, Take the Cold Out of Cold Calling (2012 Sales book of the year)
"Infinite Pipeline will be the authority on building lasting relationships through online social that result in bottom line business." -Lori Ruff, The LinkedIn Diva, Speaker/Author and CEO of Integrated Alliances
Описание: Disabling the School-to-Prison Pipeline interrogates how the school-to-prison pipeline operates for young people receiving special education services. Interviews with those directly affected suggest new ways of thinking about the problems facing special education.
Описание: This book introduces novel methods for leak and blockage detection in pipelines. In this book, the leakage flow in the pipelines is studied numerically to find the relationship between leakage flow and pressure difference.
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