Python machine learning cookbook : over 100 recipes to progress from smart data analytics to deep /

Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch Key Features Learn and implement machine learning algorithms in a variety of real-life scenarios Cover a range of tasks catering to supervised, unsuper...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ciaburro, Giuseppe
Otros Autores: Joshi, Prateek
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, England ; Mumbai : Packt, 2019.
Edición:Second edition.
Temas:
Python (Computer program language)
Python (Langage de programmation)
Acceso en línea:Texto completo
Tabla de Contenidos:
  • The Realm of Supervised Learning
  • Constructing a Classifier
  • Predictive Modeling
  • Clustering with Unsupervised Learning
  • Visualizing Data
  • Building Recommendation Engines
  • Analyzing Text Data
  • Speech Recognition
  • Dissecting Time Series and Sequential Data
  • Analyzing Image Content
  • Biometric Face Recognition
  • Reinforcement Learning Techniques
  • Deep Neural Networks
  • Unsupervised Representation Learning
  • Automated Machine Learning and Transfer Learning
  • Unlocking Production Issues.

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