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“david bounds”

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  • Cloud Native AI and Machine Learning on AWS

    Use SageMaker for building ML models, automate MLOps, and take advantage of numerous AWS AI services (English Edition)

    by Premkumar Rangarajan, David Bounds ...
    Using machine learning and artificial intelligence (AI) in existing business processes has been successful. Even AWS's ML and AI services make it simple and economical to conduct machine learning experiments. This book will show readers how to use the complete set of AI and ML services available on AWS to streamline the management of their whole AI operation and speed up their innovation.In this ... Read more

    $14.39 USD or Free with Kobo Plus

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  • Practical MLOps

    Operationalizing Machine Learning Models

    by Noah Gift, Alfredo Deza ...
    Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.Current and aspiring machine ... Read more

    $55.49 USD

  • Artificial Intelligence with Python

    Your complete guide to building intelligent apps using Python 3.x

    by Alberto Artasanchez, Prateek Joshi ...
    New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more.Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep ... Read more

    $41.39 USD or Free with Kobo Plus

  • Practical Data Analysis

    For small businesses, analyzing the information contained in their data using open source technology could be game-changing. All you need is some basic programming and mathematical skills to do just that.

    by Hector Cuesta ...
    Each chapter of the book quickly introduces a key theme of Data Analysis, before immersing you in the practical aspects of each theme. Youll learn quickly how to perform all aspects of Data Analysis.Practical Data Analysis is a book ideal for home and small business users who want to slice & dice the data they have on hand with minimum hassle. ... Read more

    $31.49 USD or Free with Kobo Plus

  • Data Science on the Google Cloud Platform

    Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning

    by Valliappa Lakshmanan ...
    Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP.Throughout this updated second edition, you'll work through a sample business decision by employing a ... Read more

    $48.99 USD

  • TensorFlow Deep Learning Projects

    10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning

    by Alexey Grigorev, Rajalingappaa Shanmugamani, Srinivas Kulkarni ...
    Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenariosKey Features\[\*\]Build efficient deep learning pipelines using the popular Tensorflow framework\[\*\]Train neural networks such as ConvNets, generative models, and LSTMs\[\*\]Includes projects related to Computer Vision, stock prediction, chatbots and moreBook DescriptionTensorFlow is one of the ... Read more

    $34.19 USD or Free with Kobo Plus

  • Kubeflow for Machine Learning

    by Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu, Ilan Filonenko ...
    If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving. This guide helps data scientists build production-grade machine learning implementations with ... Read more

    $30.99 USD

  • Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition

    by Valentine Fontama, Roger Barga, Wee Hyong Tok ...
    Series series Professional and Applied Computing (R0)
    Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft Azure Machine Learning service released for general availability on February 18th, 2015 with practical guidance for building ... Read more

    $71.99 USD

  • Object-Oriented Analysis and Design for Information Systems

    Agile Modeling with UML, OCL, and IFML

    by Raul Sidnei Wazlawick ...
    Object-Oriented Analysis and Design for Information Systems clearly explains real object-oriented programming in practice. Expert author Raul Sidnei Wazlawick explains concepts such as object responsibility, visibility and the real need for delegation in detail. The object-oriented code generated by using these concepts in a systematic way is concise, organized and reusable. The patterns and ... Read more

    $48.59 USD

  • Practical Big Data Analytics

    Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

    by Nataraj Dasgupta ...
    Get command of your organizational Big Data using the power of data science and analytics Key Features\[\*\] A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions\[\*\] Work with the best tools such as Apache Hadoop, R, Python, and Spark for NoSQL platforms to perform massive online analyses\[\*\] Get expert tips on ... Read more

    $37.79 USD or Free with Kobo Plus

  • Engineering MLOps

    Rapidly build, test, and manage production-ready machine learning life cycles at scale

    by Emmanuel Raj ...
    Get up and running with machine learning life cycle management and implement MLOps in your organizationKey FeaturesBecome well-versed with MLOps techniques to monitor the quality of machine learning models in productionExplore a monitoring framework for ML models in production and learn about end-to-end traceability for deployed modelsPerform CI/CD to automate new implementations in ML ... Read more

    $37.79 USD or Free with Kobo Plus

  • Mastering Machine Learning for Penetration Testing

    Develop an extensive skill set to break self-learning systems using Python

    by Chiheb Chebbi ...
    Become a master at penetration testing using machine learning with PythonKey FeaturesIdentify ambiguities and breach intelligent security systemsPerform unique cyber attacks to breach robust systemsLearn to leverage machine learning algorithmsBook DescriptionCyber security is crucial for both businesses and individuals. As systems are getting smarter, we now see machine learning interrupting ... Read more

    $34.19 USD or Free with Kobo Plus