Thinking Data Science

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This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client provides me Gig and Terabytes of data for developing analytic models? How do I handle high-freque...

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E-book
epub
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54.99 £

This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client provides me Gig and Terabytes of data for developing analytic models? How do I handle high-freque...

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  • Formats: epub
  • ISBN: 9783031023637
  • Publication Date: 1 Mar 2023
  • Publisher: Springer International Publishing
  • Product language: English
  • Drm Setting: DRM