Classification Courses and Certifications

Primary science: supporting children’s learning

11 ratings at OpenLearn

Science is a key subject area in primary education curriculum frameworks. This free course, Primary science: supporting children's learning, provides an opportunity to consider your own ...

• OpenLearn
• 8 hours
• Self-Paced
• Free Certificate

Machine Learning with Python

Comprehensive Python tutorial covering machine learning concepts, algorithms, and deep learning with TensorFlow. Includes hands-on projects and real-world applications.

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

Coding Train

Beginner's Guide to Machine Learning in JavaScript with ml5.js

Discover machine learning fundamentals through creative JavaScript projects using p5.js and ml5.js libraries for interactive media art and real-time applications.

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

Coding Train

Neural Networks - The Nature of Code

Dive into neural networks from perceptrons to backpropagation with hands-on coding examples, matrix math, and practical projects like doodle classification.

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

R Ultimate 2024: R for Data Science and Machine Learning

401 ratings at Udemy

R Basics, Data Science, Statistical Machine Learning models, Deep Learning, Shiny and much more (All R code included)

• Udemy
• 22 hours 43 minutes
• Self-Paced
• Paid Course

Machine Learning Optimization Using Genetic Algorithm

377 ratings at Udemy

Learn how to optimize Machine Learning algorithms' performances and apply feature selection using Genetic Algorithm

• Udemy
• 6 hours 33 minutes
• Self-Paced
• Paid Course

Action Recognition and Video Classification Techniques - Lecture 19

Learn about action recognition in videos, including 3D convolution, video classification, and recurrent neural networks like LSTM, with practical aspects and applications to datasets like UCF101 and VIRAT.

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

Unsupervised Meta-Learning for Few-Shot Image Classification

Explore unsupervised meta-learning techniques for few-shot image classification, including task construction, augmentation methods, and performance on benchmark datasets.

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

Insights into Mathematics

The Classification of Platonic Solids I - Universal Hyperbolic Geometry

Exploring the classification of Platonic solids using modern notation and turn angles. Examines planar, spherical, and higher-dimensional cases, highlighting mathematical constructions and challenges in Euclid's proof.

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

MITCBMM

FMRI Bootcamp - Classification

Explore fMRI classification analysis techniques, including training vs testing, generalization, and hierarchical logic, with insights on visual stream processing.

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

Abhishek Thakur

Simple and Basic Binary Classification Metrics

Learn essential binary classification metrics and enhance your machine learning framework with a customizable metrics class for improved model evaluation and performance analysis.

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

Graham Neubig

CMU Multilingual NLP 2020 - Advanced Text Classification-Labeling

Explore advanced text classification and sequence labeling methods, including subword models, unsupervised training, and structured prediction for multilingual NLP applications.

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

Graham Neubig

CMU Multilingual NLP 2020 - Text Classification and Sequence Labeling

Explore text classification and sequence labeling in multilingual NLP, covering models, datasets, and neural networks for various language processing tasks.

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

Institute for Pure & Applied Mathematics (IPAM)

Fair and Interpretable Decision Rules for Binary Classification

Explore fair and interpretable decision rules for binary classification using Boolean rule sets in DNF, with a focus on maximizing accuracy while maintaining group fairness constraints.

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

James Briggs

OpenAI's CLIP for Zero Shot Image Classification

Explore OpenAI's CLIP model for flexible computer vision classification without retraining, enabling generalization to new classes and images beyond initial training data.

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