Classification Courses and Certifications

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
• On-Demand
• Free Video

Data Science Festival

Introduction to Machine Learning: Classification Techniques - Part 2

Explore classification techniques in machine learning, including logistic regression and KNN, with practical insights from industry experts.

• YouTube
• 58 minutes
• On-Demand
• Free Video

ChemicalQDevice

Classification and QML Neuroimaging for Alzheimer's Prediction

Explore quantum machine learning for Alzheimer's prediction using neuroimaging. Learn about recent advancements, Pennylane circuits, and potential business applications in healthcare and neurological disorders.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Multi-Class Classification with Discriminant Analysis

Learn discriminant analysis techniques for multi-class classification, covering data collection, distributions, decision boundaries, and linear approaches to effectively categorize new data points.

• YouTube
• 14 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Classification of Operators

Learn about the classification of operators in mathematics, exploring different types and their properties.

• YouTube
• 16 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Probabilistic Methods for Classification - 2009

Explore probabilistic methods for classification, covering supervised learning, estimation, and advanced models like Naive Bayes, Maximum Entropy, and Conditional Random Fields.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Deterministic Annealing for Clustering, Classification and Speech Recognition

Explore deterministic annealing for improved clustering and classification, avoiding local optima and optimizing various structures in machine learning applications.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Manolis Kellis

Expression Analysis, Clustering, and Classification in Machine Learning - Lecture 2

Comprehensive exploration of machine learning concepts, from basic principles to advanced techniques, with applications in gene expression analysis and text clustering.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Snorkel AI

Extending Weak Supervision Beyond Classification - New Research Insights

Explore groundbreaking research extending weak supervision to new task types, including ranking, and its potential impact on AGI superalignment.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Discriminative Classification with Incomplete Data - Lecture

Explore advanced discriminative classification techniques for structured data with missing information, focusing on maximum entropy principles and large margin methods for robust decision-making.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Chemometrics & Machine Learning in Copenhagen

Few-Shot Classification Using Tensor Completion

Explore tensor-based modeling for enhanced classification performance, especially with limited training data, outperforming traditional methods.

• YouTube
• 27 minutes
• On-Demand
• Free Video

UofU Data Science

Classification Methods: KNN, Decision Trees, and Neural Networks - Lecture 28

Dive into essential machine learning classification methods, exploring KNN algorithms, decision trees, random forests, and neural networks for practical data analysis applications.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

UofU Data Science

Linear Classification and Loss Functions - Lecture 25

Dive into linear classifiers and loss functions, mastering fundamental concepts for effective data classification and model optimization techniques.

• YouTube
• 1 hour 21 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video