Mastering Machine Learning with Python in Six Steps : A Practical Implementation Guide to Predictive Data Analytics Using Python

Mastering Machine Learning with Python in Six Steps A Practical Implementation Guide to Predictive Data Analytics Using Python

Explore fundamental to advanced Python 3 topics in six steps, all designed to make you a worthy practitioner. This updated version’s approach is based on the “six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away and presents each topic in two pa...

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Detalles Bibliográficos
Autor principal: Swamynathan, Manohar. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2019.
Edición:2nd ed. 2019.
Materias:
Artificial intelligence.
Big data.
Open source software.
Computer programming.
Artificial Intelligence.
Big Data.
Open Source.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630955706719
Tabla de Contenidos:
  • Chapter 1: Step 1 – Getting Started with Python
  • Chapter 2 : Step 2 – Introduction to Machine Learning
  • Chapter 3: Step 3 – Fundamentals of Machine Learning
  • Chapter 4: Step 4 – Model Diagnosis and Tuning
  • Chapter 5: Step 5 – Text Mining, NLP AND Recommender Systems
  • Chapter 6: Step 6 – Deep and Reinforcement Learning
  • Chapter 7 : Conclusion.

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