Feature Extraction Courses and Certifications

Bag of Words Model for Image Classification - Lecture 16

Explore bag-of-features for image classification, including feature extraction, quantization, and spatial pyramid matching. Learn about datasets and applications in scene and action recognition.

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

Hough Transform for Line and Shape Detection - Lecture 18

Learn about the Hough Transform technique for detecting lines and shapes in images, including its algorithm, applications, and variations like Generalized Hough Transform.

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

Computer Vision - Fall 2021

Explore computer vision fundamentals from linear algebra to neural networks, covering image filtering, edge detection, CNNs, PyTorch, object detection, and segmentation techniques.

• YouTube
• 1 day 4 hours 49 minutes
• Self-Paced
• Free Video

Krish Naik

Machine Learning Model Retraining Approach - Incremental and Continuous Model Training

Explore incremental machine learning model training for continuous updates, addressing model drift and improving performance over time.

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

DigitalSreeni

Pretrained CNN Features for Semantic Segmentation Using Random Forest

Explore semantic segmentation using VGG16 features and Random Forest, offering improved results for limited training data compared to U-net.

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

Aladdin Persson

TensorFlow Tutorial - Neural Networks with Sequential and Functional API

Learn to build neural networks in TensorFlow 2.0 using Keras Sequential and Functional API. Covers model creation, layer feature extraction, and model summaries with hands-on MNIST dataset examples.

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

Yannic Kilcher

CURL - Contrastive Unsupervised Representations for Reinforcement Learning

Explore how contrastive learning enhances reinforcement learning, improving performance in complex tasks using high-level features extracted from raw pixels.

• YouTube
• 29 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 in autonomous navigation and medical imaging.

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

Wolfram

Zero to AI in 60 Minutes - Machine Learning with Wolfram Language

Master machine learning fundamentals in Wolfram Language through classification, prediction, neural networks, and deployment techniques with practical examples across diverse subjects.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Association for Computing Machinery (ACM)

Deep Learning for Sequences in Quantitative Finance

1 rating

Overview of deep learning sequence methods in quantitative finance, covering feature extraction, return forecasting, portfolio allocation, and trading execution. Explores applications and challenges in the investment process.

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

Cross-View Geo-Localization - Ground-to-Aerial Image Matching

Explore cross-view geo-localization techniques, focusing on ground-to-aerial image matching. Learn about approaches, limitations, and advancements in this field of computer vision.

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

Meta

Deep Learning for Vision: Tricks of the Trade

Explore deep learning's evolution in computer vision, from unsupervised algorithms to modern object recognition systems. Learn practical tips and future challenges in this field.

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

tinyML

Advanced Anomaly Detection Made Easy

Advanced anomaly detection techniques for embedded ML, focusing on custom DSP blocks, feature importance, and threshold optimization. Learn to implement these methods for various IoT applications using Edge Impulse.

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

Institute for Pure & Applied Mathematics (IPAM)

Reasoning on Natural Inputs

Explore neural algorithmic reasoning for natural inputs, bridging classical algorithms with deep learning to solve real-world problems more effectively in reinforcement learning environments.

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

BruCON Security Conference

Detecting Malware Even When It Is Encrypted

Innovative machine learning approach for detecting malware in encrypted HTTPS traffic using Bro IDS logs, without decryption. Focuses on behavioral features and connection 4-tuples for improved accuracy.

• YouTube
• 44 minutes
• Self-Paced
• Conference Talk