Dataconomy

JUNE 16, 2023

The business’s solution makes use of AI to continually monitor personnel and deliver event-driven security awareness training in order to prevent data theft. The cloud-based DLP solution from Gamma AI uses cutting-edge deep learning for contextual perception to achieve a data classification accuracy of 99.5%.

AI 193

AI AI Natural Language Processing Data Classification 193

IBM Journey to AI blog

DECEMBER 20, 2023

Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. What is machine learning? Instead of using explicit instructions for performance optimization, ML models rely on algorithms and statistical models that deploy tasks based on data patterns and inferences.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Towards AI

MAY 3, 2023

In the realm of data science, seasoned professionals often carry out research to comprehend how similar issues have been tackled in the past. They investigate the most suitable algorithms, identify the best weights and hyperparameters, and might even collaborate with fellow data scientists in the community to develop an effective strategy.

ML 98

ML ML Machine Learning Machine Learning 98

Pickl AI

SEPTEMBER 3, 2024

Common activation functions include: Sigmoid: This function maps input values to a range between 0 and 1, making it useful for binary classification tasks. ReLU is widely used in Deep Learning due to its simplicity and effectiveness in mitigating the vanishing gradient problem.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

Mlearning.ai

NOVEMBER 29, 2023

All the previously, recently, and currently collected data is used as input for time series forecasting where future trends, seasonal changes, irregularities, and such are elaborated based on complex math-driven algorithms. KNN is a supervised machine learning method that consists of instances, features, and target components.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Mlearning.ai

MAY 8, 2023

A comprehensive step-by-step guide with data analysis, deep learning, and regularization techniques Introduction In this article, we will use different deep-learning TensorFlow neural networks to evaluate their performances in detecting whether cell nuclei mass from breast imaging is malignant or benign.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

IBM Journey to AI blog

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data.

AI 70

AI AI Machine Learning Machine Learning 70