Mlearning.ai

JUNE 5, 2023

Many Libraries: Python has many libraries and frameworks (We will be looking some of them below) that provide ready-made solutions for common computer vision tasks, such as image processing, face detection, object recognition, and deep learning. TensorFlow An open-source framework for machine learning and deep learning.

Deep Learning 52

Deep Learning Deep Learning Python Machine Learning 52

Explosion

NOVEMBER 21, 2019

In 2016 we trained a sense2vec model on the 2015 portion of the Reddit comments corpus, leading to a useful library and one of our most popular demos. Try the new interactive demo to explore similarities and compare them between 2015 and 2019 sense2vec (Trask et. Interestingly, “to ghost” wasn’t very common in 2015.

Natural Language Processing 52

Natural Language Processing Data Scientist Machine Learning Machine Learning 52

ML Review

MAY 3, 2018

Much the same way we iterate, link and update concepts through whatever modality of input our brain takes — multi-modal approaches in deep learning are coming to the fore. While an oversimplification, the generalisability of current deep learning approaches is impressive.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52

Iguazio

MARCH 1, 2024

Here are 10 excellent open manufacturing datasets and data sources for manufacturing data for machine learning. The dataset’s base year is 2015 and depicts monthly growth rates. To learn more about ML and manufacturing, click here. Get the dataset here. Datasets include: Industrial Production and Capacity Utilization U.S.

ML 52

ML ML Machine Learning Machine Learning 52

AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015.

ML 52

ML ML Deep Learning Deep Learning 52

Snorkel AI

FEBRUARY 13, 2023

The voice remote was launched for Comcast in 2015. Given that many of our queries are short, domain experts are able to write rules in template form that allow us to capture a number of the intents even without deep learning. And finally, also, AI/ML innovation and educational efforts.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Snorkel AI

FEBRUARY 13, 2023

The voice remote was launched for Comcast in 2015. Given that many of our queries are short, domain experts are able to write rules in template form that allow us to capture a number of the intents even without deep learning. And finally, also, AI/ML innovation and educational efforts.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

DrivenData Labs

SEPTEMBER 10, 2024

2nd Place Ishanu Chattopadhyay (University of Kentucky) 2 million synthetic patient records with 9 variables, generated using AI models trained on EHR data from the Truven Marketscan national database and University of Chicago (2012-2021). These patients, aged 60-75, were eventually diagnosed with AD/ADRD.

Machine Learning 147

Machine Learning Machine Learning Computer Science Computer Science 147

Flipboard

JULY 31, 2023

Object detection works by using machine learning or deep learning models that learn from many examples of images with objects and their labels. In the early days of machine learning, this was often done manually, with researchers defining features (e.g., So, what does the MNIST database look like?

Machine Learning 123

Machine Learning Machine Learning Deep Learning Deep Learning 123