DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Deep learning methods use multi-layer artificial neural networks to extract intricate patterns from large data sets.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

DataRobot

FEBRUARY 10, 2021

The promise and power of AI lead many researchers to gloss over the ways in which things can go wrong when building and operationalizing machine learning models. As a data scientist, one of my passions is to reproduce research papers as a learning exercise. As these examples show, errors in machine learning can be subtle.

Machine Learning 98

Machine Learning Machine Learning Data Scientist Deep Learning 98

AWS Machine Learning Blog

DECEMBER 14, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. Established in 2011, Talent.com aggregates paid job listings from their clients and public job listings, and has created a unified, easily searchable platform.

ETL 113

ETL AWS ML ML 113

AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

ML 104

ML ML AWS AI 104

IBM Journey to AI blog

OCTOBER 12, 2023

These models rely on learning algorithms that are developed and maintained by data scientists. In other words, traditional machine learning models need human intervention to process new information and perform any new task that falls outside their initial training. IBM watsonx.ai Explore watsonx.ai

Artificial Intelligence 83

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 83

AWS Machine Learning Blog

APRIL 19, 2023

Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. As a result, some enterprises have spent millions of dollars inventing their own proprietary infrastructure for feature management.

ML 97

ML ML Apache Kafka Data Scientist 97

AWS Machine Learning Blog

APRIL 6, 2023

We calculated the WAPE value of a model by splitting the data into test and validation sets. For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale). He focuses on machine learning, deep learning and end-to-end ML solutions.

Machine Learning 106

Machine Learning Machine Learning ML ML 106