Text Classification Courses and Certifications

Yannic Kilcher

FNet - Mixing Tokens with Fourier Transforms

Explores FNet, a Transformer variant replacing attention with Fourier transforms. Discusses architecture, token mixing, and performance comparisons, highlighting efficiency gains and accuracy trade-offs in natural language processing tasks.

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

NDC Conferences

Introduction to Natural Language Processing with Python

Explore basic NLP concepts using Python, including text representation and classification for sentiment analysis, categorization, and authorship recognition.

• YouTube
• 48 minutes
• On-Demand
• Conference Talk

Applying Machine Learning Techniques to Detect and Understand Fake News

Explore machine learning techniques for detecting and understanding fake news, covering digital media, web scraping, preprocessing, and classification methods.

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

Alan Turing Institute

Text Classification for Detecting Populist Speech in Tweets

Explore techniques for detecting populist speech in tweets using text classification methods, with insights from Dr Riza Batista-Navarro of the University of Manchester.

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

TEDx

Where AI Is Today and Where It's Going

Explore AI's current capabilities and future potential with Richard Socher, covering image classification, computer vision, text analysis, and the transformative impact of AI on various fields.

• YouTube
• 16 minutes
• On-Demand
• Conference Talk

USENIX Enigma Conference

Adversarial Examples in Machine Learning - Crafting and Defending Against Attacks

Explore machine learning vulnerabilities, adversarial examples, and their impact on system security. Learn crafting techniques and defenses through practical tutorials and real-world applications.

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

Transformer Models and BERT Model

Explore Transformer architecture and BERT model, learning key components like self-attention and applications in text classification, question answering, and natural language inference.

• Google Cloud Skills Boost
• 30 minutes
• On-Demand
• Free Certificate

TensorFlow Developer Certificate - Natural Language Processing (NLP)

This course will teach you all the NLP techniques in Tensorflow 2 needed to do amazing things like generate text or classify intention.

• Pluralsight
• 2 hours 11 minutes
• On-Demand
• Free Trial Available

Classify Text into Categories with the Natural Language API

In this lab you’ll learn how to classify text into categories using the Natural Language API

• Google Cloud Skills Boost
• 1 hour
• On-Demand
• Paid Course

EuroPython Conference

Scikit-learn to "Learn Them All"

Overview of Scikit-learn for machine learning in Python, covering supervised and unsupervised techniques, with code examples and insights on implementation. Includes comparison to other ML libraries and scaling to big data.

• YouTube
• 40 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Baby Steps in Short-Text Classification with Python

Explore short-text classification using Python, from problem approach to model deployment. Learn about Naive Bayesian models, alternative algorithms, and practical implementation in production environments.

• YouTube
• 31 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Building a Naive Bayes Text Classifier with scikit-learn

Learn to build a Naive Bayes text classifier using scikit-learn, exploring preprocessing techniques and feature extraction methods for effective spam detection in YouTube comments.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

MLCon | Machine Learning Conference

Kick-Start Your Understanding of Machine Learning with Python

Practical guide to building ML applications in Python, focusing on text classification using unsupervised and supervised learning techniques with visualization and deep learning examples.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

try! Swift Conference

Getting Started with Apple ML

Introduction to Apple ML: Learn to integrate machine learning into iOS apps using Create ML and Swift, with no math background required. Explore datasets, compare tools, and discover ML possibilities.

• YouTube
• 22 minutes
• On-Demand
• Conference Talk

Transformer Models and BERT Model

This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model.

• Pluralsight
• 24 minutes
• On-Demand
• Free Trial Available