What tools and technologies are covered in Managing Machine Learning Models?

This course covers SAS and Python.

What career roles is Managing Machine Learning Models relevant for?

The skills and techniques in Managing Machine Learning Models are most relevant for Científico de datos positions and other data science career paths.

Managing Machine Learning Models | Coursera | Data Science & AI Course

Descripción

The course uses models that are created using SAS Advanced Analytics capabilities, Python, and R.Lee mas.

Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.

Relevancia profesional por rol de datos

The techniques and tools covered in Managing Machine Learning Models are most similar to the requirements found in Científico de datos data science job advertisements.

Puntuaciones de similitud (sobre 100)

Managing Machine Learning Models

Descripción

Relevancia profesional por rol de datos

Hechos rápidos

Estructura

Data Science Tools and Techniques Covered

Suscríbete para recibir actualizaciones

Oportunidades similares

Predictive Modeling, Model Fitting, and Regression Analysis

Four Rare Machine Learning Skills All Data Scientists Need

Decision-Making for Autonomous Systems

Global Warming I: The Science and Modeling of Climate Change

AI in Healthcare Capstone

Global Warming II: Create Your Own Models in Python

Python Scripting: Dates, Classes and Collections

Model Validation in Python

Structural Equation Modeling with lavaan in R

Seleccionar fuente de aprendizaje