Feature Extraction Courses and Certifications

Introduction to Computer Vision

Master computer vision and image processing essentials. Learn to extract important features from image data, and apply deep learning techniques to classification tasks

• Udacity
• 12 hours
• Self-Paced
• Paid Course

(UPI) Chapter 19: AI in Cybersecurity Course (How To)

32-minute College Credit course: Chapter 19 explores how AI, particularly deep learning models like RNNs and CNNs, enhances malware detection by an...

• Treehouse
• 32 minutes
• Self-Paced
• Free Trial Available

VGG From Scratch - Deep Learning Theory and PyTorch Implementation

Master VGG neural network architecture through hands-on PyTorch implementation, covering theory, mathematics, and practical deep learning techniques for computer vision applications.

• freeCodeCamp
• 5 hours 25 minutes
• Self-Paced
• Free Video

Master classification models using Python Machine Learning Client for SAP HANA to predict employee churn through hands-on workflow from feature extraction to evaluation.

• SAP Learning
• 1 hour 46 minutes
• Self-Paced
• Free Online Course

Master time series forecasting using SAP HANA's Python ML client through hands-on overnight stays prediction, covering univariate and multivariate models with data preparation.

• SAP Learning
• 1 hour 10 minutes
• Self-Paced
• Free Online Course

Master regression modeling using Python's hana-ml client for SAP HANA, from feature extraction to model evaluation with the California housing dataset scenario.

• SAP Learning
• 1 hour 45 minutes
• Self-Paced
• Free Online Course

NPTEL;  IIT Kharagpur

Deep Learning for Visual Computing

1 rating

Comprehensive exploration of deep learning techniques for visual computing, covering neural networks, autoencoders, and CNNs with hands-on implementations using Python and popular datasets.

• YouTube
• 11 hours
• Self-Paced
• Free Video

Scale-invariant Feature Transform (SIFT) - Lecture 5

Learn about Scale-invariant Feature Transform (SIFT), a robust algorithm for detecting and describing local features in images. Explore key point extraction, scale space, and descriptor generation.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

NPTEL;  IIT Kharagpur

Pattern Recognition and Application

This course covers feature extraction techniques and the representation of patterns in feature space. Measure of similarity between two patterns. Statistical, nonparametric and neural network techniques for pattern recognition have been discussed in this…

• YouTube
• 1 day 13 hours
• Self-Paced
• Free Video

Alfredo Canziani

History, Motivation, and Evolution of Deep Learning

Explore the history, motivation, and evolution of deep learning, covering key concepts like gradient descent, backpropagation, CNNs, and feature extraction in neural networks.

• YouTube
• 1 hour 39 minutes
• Self-Paced
• Free Video

Krish Naik

Implementation of End to End Kaggle Machine Learning Project With Deployment

Comprehensive guide to implementing a machine learning project for car price prediction, covering data exploration, model fitting, and deployment on Heroku.

• YouTube
• 1 hour 31 minutes
• Self-Paced
• Free Video

Alexander Amini;  MIT

Convolutional Neural Networks

Explore convolutional neural networks for computer vision, covering feature extraction, convolution operations, and applications like object detection and self-driving cars.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Alexander Amini;  MIT

Convolutional Neural Networks

Explore convolutional neural networks for computer vision, covering feature extraction, network architecture, and real-world applications like self-driving cars in this comprehensive lecture.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Alexander Amini;  MIT

Convolutional Neural Networks

Explore convolutional neural networks for computer vision tasks, covering feature extraction, convolution operations, and applications in classification, segmentation, and image captioning.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

How Fair are Foundation Models? Exploring the Role of Covariate Bias in Histopathology

Explore fairness challenges in foundation models for histopathology, examining scanner-dependent variability and covariate bias through controlled dataset analysis.

• YouTube
• 49 minutes
• Self-Paced
• Free Video