KDnuggets

SEPTEMBER 29, 2023

This tutorial provides an in-depth introduction to machine learning using PyTorch and its high-level wrapper, PyTorch Lightning. The article covers essential steps from installation to advanced topics, offering a hands-on approach to building and training neural networks, and emphasizing the benefits of using Lightning.

Machine Learning 128

Machine Learning IT 128

KDnuggets

NOVEMBER 2, 2023

Dive into KDnuggets Back to Basics: Getting Started in 5 Steps series to help you master Python, SQL, Scikit-learn, PyTorch, and Google Cloud Platform.

Data Science 124

Data Science 124

KDnuggets

NOVEMBER 8, 2023

This week on KDnuggets: Dive into KDnuggets Back to Basics: Getting Started in 5 Steps series to help you master Python, SQL, Scikit-learn, PyTorch, and Google Cloud Platform. Unlock the Power of SQL in Data Visualization: Master the Art of Preparing Data for Impactful Charts and Graphs. • And much, much more!

Visualization 95

Visualization 95

DataRobot

DECEMBER 20, 2021

Sometimes it takes hours and days of experimenting to get valuable insights. With frameworks like Tensorflow , Keras , Pytorch, etc., Our first step was to include images into the supervised machine learning pipeline. So drag and drop and let the DataRobot AI Cloud platform get you started. DataRobot Visual AI.

Visualization 97

Visualization Deep Learning Machine Learning Modeling 97

O'Reilly on Data

MARCH 18, 2020

There’s a lot to bite into here, so let’s get started. The dominant tools aren’t getting any less dominant. Of these, TensorFlow, scikit-learn , and Keras held steady, while PyTorch grew its share to more than 36%. Adopters are also taking proactive steps to control for the most common risk factors.

Enterprise 311

Enterprise Deep Learning Data Governance Risk 311

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. In order, those are: “5 findings from O’Reilly’s machine learning adoption survey companies should know”. “ Evaluation stage : “Yeah, we started a few years ago”.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

O'Reilly on Data

MAY 21, 2019

Machine learning is not only appearing in more products and systems, but as we noted in a previous post , ML will also change how applications themselves get built in the future. Data is key to machine learning applications, and getting data flowing, cleaned, and in usable form is going to be key to sustaining a machine learning practice.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238