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  1. Machine Learning Infrastructure and Best Practices for Software Engineers
    Take your machine learning software from a prototype to a fully fledged software system
    Author: Staron, Miroslaw
    Published: 2024
    Publisher:  Packt Publishing Limited, Birmingham

    Machine learning is an important driver of innovation in software products. This book will help you take your machine learning prototype to the next level and scale it up using concepts such as data provisioning, processing, and quality control more

     

    Machine learning is an important driver of innovation in software products. This book will help you take your machine learning prototype to the next level and scale it up using concepts such as data provisioning, processing, and quality control

     
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    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781837634064
    Subjects: COM051440; COMPUTERS / Data Modeling & Design; COMPUTERS / Natural Language Processing; Computer programming / software development; Computerprogrammierung und Softwareentwicklung; Database design & theory; Datenbankdesign und -theorie; Information architecture; Informationsarchitektur; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: 346 Seiten
    Notes:

    Table of ContentsMachine Learning Compared to Traditional SoftwareElements of a Machine Learning Software SystemData in Software Systems - Text, Images, Code, FeaturesData Acquisition, Data Quality and NoiseQuantifying and Improving Data PropertiesTypes of Data in ML SystemsFeature Engineering for Numerical and Image DataFeature Engineering for Natural Language DataTypes of Machine Learning Systems - Feature-Based and Raw Data Based (Deep Learning)Training and evaluation of classical ML systems and neural networksTraining and evaluation of advanced algorithms - deep learning, autoencoders, GPT-3Designing machine learning pipelines (MLOps) and their testingDesigning and implementation of large scale, robust ML software - a comprehensive exampleEthics in data acquisition and managementEthics in machine learning systemsIntegration of ML systems in ecosystemsSummary and where to go next
  2. Website-Konzeption
    Erfolgreiche und nutzerfreundliche Websites planen, umsetzen und betreiben
    Author: Jacobsen, Jens
    Published: 2017
    Publisher:  dpunkt.verlag, Heidelberg