Machine learning
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Machine Learning Systems: Designs that scale (Bog, Paperback / softback, Engelsk)Key Features: · Example-rich guide · Step-by-step guide · Move from single-machine to massive cluster Readers should have intermediate skills in Java or Scala. No previous machine learning experience is required.
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics (Bog, Hardback, Engelsk)Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial... Læs mere
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Practical Weak Supervision: Doing More with Less Data (Bog, Paperback / softback, Engelsk)Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is... Læs mere
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Thoughtful Machine Learning with Python (Bog, Paperback / softback, Engelsk)Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.
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Thoughtful Machine Learning: A Test-Driven Approach (Bog, Paperback / softback, Engelsk)In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive Bayesian classifiers and Neural Networks.
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Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python (Bog, Paperback / softback, Engelsk)Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry.
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Kubeflow for Machine Learning: From Lab to Production (Bog, Paperback / softback, Engelsk)This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models scalable and reliable
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Machine Learning for Email: Spam Filtering and Priority Inbox (Bog, Paperback / softback, Engelsk)This compact book explores standard tools for text classification, and teaches the reader how to use machine learning to decide whether a e-mail is spam or ham (binary classification), based on raw data from The SpamAssassin Public Corpus.
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Machine Learning for Hackers (Bog, Paperback / softback, Engelsk)Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data.
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Data Source Handbook: A Guide to Public Data (Bog, Paperback / softback, Engelsk)If you're a developer looking to supplement your own data tools and services, this concise ebook covers the most useful sources of public data available today.... Læs mere
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Blueprints for Text Analytics using Python: Machine Learning Based Solutions for Common Real World (NLP) Applications (Bog, Paperback / softback, Engelsk)This practical book provides data scientists and developers with blueprints for best... Læs mere
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The Sciences of the Artificial (Bog, Paperback / softback, Engelsk)Herbert Simon's classic work on artificial intelligence in the expanded and updated third edition from 1996, with a new introduction by John E. Laird.
Levering: 6 - 9 hverdage
