KDnuggets

MARCH 18, 2020

Support Vector Machines (SVMs) are powerful for solving regression and classification problems. You should have this approach in your machine learning arsenal, and this article provides all the mathematics you need to know -- it's not as hard you might think.

Support Vector Machines 295

Support Vector Machines Machine Learning Machine Learning Algorithm 295

Data Science Dojo

MAY 27, 2024

A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. These algorithms use existing data like text, images, and audio to generate content that looks like it comes from the real world.

K-nearest Neighbors 195

K-nearest Neighbors AI AI Supervised Learning 195

Heartbeat

AUGUST 1, 2023

Scale-Invariant Feature Transform (SIFT) This is an algorithm created by David Lowe in 1999. It’s a general algorithm that is known as a feature descriptor. After picking the set of images you desire to use, the algorithm will detect the keypoints of the images and store them in a database. It detects corners.

Deep Learning 52

Deep Learning Deep Learning Algorithm Support Vector Machines 52

Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. NLP algorithms help computers understand, interpret, and generate natural language.

Natural Language Processing 98

Natural Language Processing Algorithm Machine Learning Machine Learning 98

Towards AI

JULY 20, 2023

As the capabilities of high-powered computers and ML algorithms have grown, so have opportunities to improve the SLR process. New research has also begun looking at deep learning algorithms for automatic systematic reviews, According to van Dinter et al.

Natural Language Processing 86

Natural Language Processing ML ML Support Vector Machines 86

Heartbeat

MAY 22, 2023

Genetic algorithms [ 1 ] are one way to detect faces in a digital image, followed by the Eigenface technique to verify the fitness of the region of interest. 2020 ) can be integrated to add greater weight to the core features. It is then re-trained to derive patterns of facial expressions using negative and positive values.

AI 52

AI AI Deep Learning Deep Learning 52

PyImageSearch

JANUARY 2, 2023

Figure 1: Global Funding in Health Tech Companies (source: Mrazek and O’Neill, 2020 ). Machine learning algorithms can also recognize patterns in DNA sequences and predict a patient’s probability of developing an illness. This series is about CV and DL for Industrial and Big Business Applications.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52