Building Data Science Solutions with Anaconda : a Comprehensive Starter Guide to Building Robust and Complete Models /

The missing manual to becoming a successful data scientist--develop the skills to use key tools and the knowledge to thrive in the AI/ML landscape Key Features Learn from an AI patent-holding engineering manager with deep experience in Anaconda tools and OSS Get to grips with critical aspects of dat...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Meador, Dan
Otros Autores: Goldsmith, Kevin
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2022.
Temas:
Data mining.
Machine learning.
Computing platforms.
Exploration de données (Informatique)
Apprentissage automatique.
Plateformes (Informatique)
Computing platforms
Data mining
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Table of Contents Understanding the AI/ML Landscape Analyzing Open Source Software Using Anaconda Distribution to Manage Packages Working with Jupyter Notebooks and NumPy Cleaning and Visualizing Data Overcoming Bias in AI/ML Choosing the Best AI Algorithm Dealing with Common Data Problems Building a Regression Model with scikit-learn Explainable AI - Using LIME and SHAP Tuning Hyperparameters and Versioning Your Model.

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