KDnuggets

OCTOBER 2, 2019

As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.

Data Preparation 305

Data Preparation Machine Learning Machine Learning Data Scientist 305

KDnuggets

JULY 31, 2019

Learn the essential skills needed to become a Data Science rockstar; Understand CNNs with Python + Tensorflow + Keras tutorial; Discover the best podcasts about AI, Analytics, Data Science; and find out where you can get the best Certificates in the field.

Data Science 120

Data Science Analytics Analytics Data Scientist 120

AWS Machine Learning Blog

NOVEMBER 1, 2024

We discuss the important components of fine-tuning, including use case definition, data preparation, model customization, and performance evaluation. This post dives deep into key aspects such as hyperparameter optimization, data cleaning techniques, and the effectiveness of fine-tuning compared to base models.

Data Preparation 99

Data Preparation Machine Learning Machine Learning ML 99

DataRobot

MARCH 2, 2021

In 2019, we launched our AI for Good program to offer the same cutting-edge tools to nonprofits to help them solve the world’s toughest problems. We can help with data preparation and AI development, deployment, and monitoring. We are wrapping up the first round of our program and are gearing up to do it again!

AI 98

AI AI Data Scientist Data Preparation 98

AWS Machine Learning Blog

DECEMBER 18, 2024

Fastweb , one of Italys leading telecommunications operators, recognized the immense potential of AI technologies early on and began investing in this area in 2019. With a vision to build a large language model (LLM) trained on Italian data, Fastweb embarked on a journey to make this powerful AI capability available to third parties.

Clustering 101

Clustering AWS AI AI 101

AWS Machine Learning Blog

DECEMBER 1, 2023

Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring. As a web application, SageMaker Studio has improved load time, faster IDE and kernel start up times, and automatic upgrades.

ML 125

ML ML Machine Learning Machine Learning 125

AWS Machine Learning Blog

SEPTEMBER 14, 2023

“Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to use it“ Only 18% of organizations in a 2019 survey by Deloitte reported being able to take advantage of unstructured data. The majority of data, between 80% and 90%, is unstructured data.

AWS 123

AWS Machine Learning Machine Learning Data Scientist 123