Google AutoML TablesGoogle AutoML Tables
What is Google AutoML Tables?
Enables your entire team of data scientists, analysts, and developers to automatically build and deploy machine learning models on structured data at massively increased speed and scale.
Google AutoML Tables is a tool in the Development & Training Tools category of a tech stack.
Key Features
Increases model qualityEasy to build modelsEasy to deployFlexible user optionsDoesn’t require a large annual licensing fee
Google AutoML Tables Pros & Cons
Pros of Google AutoML Tables
No pros listed yet.
Cons of Google AutoML Tables
No cons listed yet.
Google AutoML Tables Alternatives & Comparisons
What are some alternatives to Google AutoML Tables?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
