Building data science solutions with Anaconda : a comprehensive starter guide to building robust and complete models

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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Bibliographic Details
Other Authors: Meador, Dan, author (author)
Format: eBook
Language:Inglés
Published: Birmingham, UK : Packt Publishing [2022]
Subjects:
Data mining.
Machine learning.
Computing platforms.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009664708306719
Table of Contents:
  • 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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