IBM Big Data Hub

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

Deep Learning 63

Deep Learning Machine Learning Unstructured Data Modeling 63

Analytics Vidhya

OCTOBER 7, 2020

This article was published as a part of the Data Science Blogathon. Introduction The article covers the use of Generative Adversarial Networks (GAN), an. The post Boost Model Accuracy of Imbalanced COVID-19 Mortality Prediction Using GAN-based Oversampling Technique appeared first on Analytics Vidhya.

Modeling 293

Modeling Data Science Publishing Analytics 293

Analytics Vidhya

OCTOBER 8, 2020

This article was published as a part of the Data Science Blogathon. Introduction Fastai is a popular open-source library used for learning and practicing. The post Develop and Deploy an Image Classifier App Using Fastai appeared first on Analytics Vidhya.

Data Science 362

Data Science Publishing Analytics Unstructured Data 362

IBM Big Data Hub

JANUARY 10, 2024

AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended. AI operates on three fundamental components: data, algorithms and computing power.

Unstructured Data 84

Unstructured Data Deep Learning Cost-Benefit Modeling 84

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. ” BTW, that Knuth article from 1983 was probably the first time that I ever saw the word “Web” used as a computer-related meaning.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Ontotext

FEBRUARY 26, 2024

Using machine learning, RED indicates the impact of events on stock prices. It compares actual price changes to expected changes based on historical data. This semantic model serves as a blueprint or framework against which raw data is analyzed and organized. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Smart Data Collective

MARCH 16, 2020

Deep learning is likely to play an essential role in keeping costs in check. Deep Learning is Necessary to Create a Sustainable Medicare for All System. He should elaborate more on the benefits of big data and deep learning. They argued that machine learning could make healthcare much more efficient.

Deep Learning 79

Deep Learning Unstructured Data Cost-Benefit Big Data 79