Classification Courses and Certifications

QuantumTopology

Classification of Prime Genus 1 Virtual Knots of Low Complexity

Explore prime genus 1 virtual knots of low complexity, their classification methods, and implications in quantum topology with A. Akimova's in-depth analysis.

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

Center for Language & Speech Processing(CLSP), JHU

Probabilistic Methods for Classification - Part 2

Explore advanced probabilistic classification techniques through practical applications and theoretical foundations in this comprehensive machine learning workshop.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Deterministic Annealing for Clustering, Compression, Classification, and Regression

Discover deterministic annealing techniques for clustering, data compression, classification, and regression problems in machine learning applications.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

AutoML Seminars

MotherNet: A Foundational Hypernetwork for Tabular Classification

Discover how MotherNet hypernetwork architecture revolutionizes tabular classification by generating optimized neural networks through in-context learning, offering faster training and competitive performance against XGBoost.

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

Centre International de Rencontres Mathématiques

High-Dimensional Classification with Deep Neural Networks: Decision Boundaries

Explore high-dimensional classification theory, focusing on decision boundaries, noise, and margin conditions in neural networks, with applications to efficient approximation and learning rates.

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

Alan Turing Institute

Clustering and Classification From the Core to the Edge - Thomas Strohmer, California University

Explore unsupervised learning, spectral clustering, and edge AI through diffusion maps, graph cuts, and compressive techniques. Gain insights into data shape, community detection, and on-device machine learning challenges.

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

Coursera

Explainable AI: Scene Classification and GradCam Visualization

59 ratings at Coursera

Train a deep learning model for scene classification and use Grad-Cam to visualize how AI models interpret images, with practical applications in satellite imagery analysis.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Executive Briefing - Data Science and Machine Learning

11628 ratings at Udemy

Get a non-technical overview of Data Science and Machine Learning for Executives!

• Udemy
• 1 hour 58 minutes
• Self-Paced
• Paid Course

Coursera

Machine Learning with ChatGPT: Image Classification Model

35 ratings at Coursera

Build a machine learning model for image classification using ChatGPT. Learn fine-tuning, data preparation, model architecture, training, and evaluation with the MNIST database of handwritten digits.

• Coursera
• 2 hours 41 minutes
• Self-Paced
• Paid Course

CertNexus

Build Regression, Classification, and Clustering Models

19 ratings at Coursera

Learn to build regression, classification, and clustering models using various algorithms. Gain hands-on experience in model selection, evaluation, and tuning for supervised and unsupervised learning tasks.

• Coursera
• 20 hours 19 minutes
• Self-Paced
• Paid Course

Machine Learning Classification Bootcamp in Python

1059 ratings at Udemy

Build 10 Practical Projects and Advance Your Skills in Machine Learning Using Python and Scikit Learn

• Udemy
• 11 hours 44 minutes
• Self-Paced
• Paid Course

Coursera

Machine Learning for Kyphosis Disease Classification

13 ratings at Coursera

Predict kyphosis using diagnostic features in this practical healthcare project. Enhance your portfolio and job prospects with hands-on experience in machine learning.

• Coursera
• 1 hour 54 minutes
• Self-Paced
• Paid Course

Coursera

Pneumonia Classification using PyTorch

11 ratings at Coursera

Build a pneumonia classifier using EfficientNet and PyTorch. Fine-tune a pre-trained model on chest X-ray images to distinguish between normal and pneumonia cases.

• Coursera
• 2 hours 25 minutes
• Self-Paced
• Paid Course

Ensembles in Machine Learning

Master ensemble learning techniques like bagging, boosting, and stacking to enhance predictive modeling performance, from Random Forests to Gradient Boosting and AdaBoost implementations.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Navigating PySpark MLlib Essentials

Master essential machine learning with PySpark MLlib, from data preparation to model deployment. Learn to train classifiers, make predictions, and evaluate performance using distributed computing.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate