Subjects Covered in PG Programs Offered on the Great Learning Platform PG programs typically cover a wide range of subjects in various fields of study, including: Data Science: Statistics, Python, R, SQL, Exploratory Data Analysis (EDA), Data Mining, Data Engineering, Predictive Modeling, Time ...
Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning (arXiv '24) [Paper] Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining (WWW '24) [Paper] UCM-Net: A U-Net-Like Tampered-Region-Related Framework for Copy-Move Forgery Detection (TMM...
Data Mining Business Forecasting Intelligence Gathering Agile Methodology Machine Learning Business requirements gathering Psychometrics Advanced mathematical abilities Agile framework understanding You should sprinkle skills and abilities throughout your resume. Include them in your professional summary, work experie...
If you're new to the world of machine learning (ML), then consider reading these seven ML books aimed specifically for beginners.
As a deep learning model with hundreds of billions of scale parameters and complex structures, a large model has extremely high requirements for the carrying capacity and efficiency of computing power. Many cities with strong demands for AI are increasing the supply of computing power, such as Bei...
8. “Big Data Analytics Methods: Modern Analytics Techniques for the 21st Century: The Data Scientist’s Manual to Data Mining, Deep Learning & Natural Language Processing” Author: Peter Ghavami Website: Amazon Peter’s book might seem daunting to a NLP newcomer, but it’s useful as a comp...
you need to know what reading materials are and what the basics are for how they work, as we will be using other machine learning algorithms for this image processing. As a bonus, it may help if you have experienced exposure, or basic Open CV information before continuing with this course...
Medical clustering problem is a type of unsupervised learning in data mining. This work presents great deluge and modified great deluge algorithms for medical clustering problems. The structure of the modified great deluge (MGD) algorithm resembles a great deluge (GD) algorithm structure. The basic ...
Horses can provide a faster means of transportation than walking on foot. Riding also offers a different perspective. Learning equestrian skills can prepare you for leading mountain horse riding tours in mountain resort areas and other attractions. ...
Medical clustering problem is a type of unsupervised learning in data mining. This work present a hybridization between our previous proposed Iterative Simulated Annealing (ISA) and Modified Great Deluge (MGD) algorithms for medical clustering problems. The aim of this work is to produce an ...