Meador Building Data Science Solutions with Anaconda

A comprehensive starter guide to building robust and complete models
1. Auflage 2022
ISBN: 978-1-80056-156-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 330 Seiten

No detailed description available for "Building Data Science Solutions with Anaconda".

Autoren/Hrsg.

Meador, Dan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

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

Über Autor(innen)

Meador Dan:

Dan Meador is an Engineering Manager at Anaconda and is the creator of Conda as well as a champion of open source at Anaconda. With a history of engineering and client facing roles, he has the ability to jump into any position. He has a track record of delivering as a leader and a follower in companies from the Fortune 10 to startups.