Daniel McFarland: The Diversity-Innovation Paradox in Science
Explore how diversity impacts scientific innovation and career outcomes, revealing a paradox where underrepresented groups contribute novel ideas but face devaluation and discounting in academia.
Applied Natural Language Processing
Explore natural language processing techniques, from corpus operations to advanced neural networks, for applications in machine translation, topic modeling, and conversation systems.
Validating Daily Social Media Macroscopes of Emotions
Explore how social media sentiment analysis can accurately measure daily emotional dynamics of online communities, validated through surveys and applied to COVID-19 impact studies.
Text-Based Timeline Analysis and New Instruments for the Science of Stories
Exploring Twitter data as a telescope for observing collective human thought, revealing insights into sentiment, narrative power, and social dynamics through innovative text analysis techniques.
Revisiting Document Expansion and Filtering for Effective First-Stage Retrieval - Lecture 3
Explore innovative techniques for enhancing first-stage retrieval efficiency through document expansion and filtering, improving search engine performance.
Large Language Models and Future of Information Retrieval: Opportunities and Challenges - Lecture 1
Explore the impact of large language models on information retrieval, discussing future opportunities and challenges in search technology.
Generic Knowledge: Acquisition and Representation
Explore AI approaches to acquiring general world knowledge for language understanding and commonsense reasoning, including text-based methods and challenges in formalizing generalities.
Graded Relevance Scoring of Written Essays with Dense Retrieval - Tutorial 2.1
Explore dense retrieval techniques for graded relevance scoring of written essays, enhancing automated assessment in educational contexts.
Natural Language Processing in Hindi
Aprenda os fundamentos do Processamento de Linguagem Natural em Hindi usando Python e NLTK, incluindo tokenização, remoção de stopwords e stemming.
Natural Language Processing in Artificial Intelligence - NLP Demo - AI Demo
In this tutorial, we have covered everything right from What is NLP, What are its challenges to Sentence Segmentation, RNN and LSTM, and much more, that will help you to understand this concept with ease.
Market Basket Analysis - Apriori Algorithm Explained - Time Series
Learn market basket analysis, Apriori algorithm, sales prediction, text analysis, and sentiment analysis for business intelligence. Gain practical skills in data-driven decision-making and customer behavior prediction.
Machine Learning
Explore key machine learning concepts, including confusion matrices, ROC curves, and AUC. Apply knowledge to real-world challenges and text analysis.
GMAT Reading Comprehension Passage Explanations
This course explains questions in GMAT Reading Comprehension Passages. You will get explanations of passages such as Speech Recognition, Alvarez Hypothesis, Demotic Greek and Katharevousa, Environmental Regulations, Colonial Feminism, The Arctic Curlew,…
Naïve Bayes Algorithm in Hindi - Naïve Bayes Classifier Explained - Machine Learning
हिंदी में नाइव बेयस एल्गोरिथम की व्याख्या, जो मशीन लर्निंग में वर्गीकर ण के लिए उपयोग किया जाता है। यह स्पैम फ़िल्टरिंग, टेक्स्ट विश्लेषण और चिकित्सा निदान जैसे अनुप्रयोगों पर केंद्रित है।
Conteo de Tokens con OpenAI Python SDK y TikToken - Machine Learning y Data Science
Aprende a contar tokens con tiktoken en el SDK de Python de OpenAI para optimizar tus proyectos de machine learning y ciencia de datos.
Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers
Explores techniques for generating adversarial text sequences to deceive deep learning classifiers, focusing on black-box attacks and their effectiveness in real-world scenarios.
Reading Between the Lines - The Hidden Bias of NLP - Dr Dirk Hovy
Dr Dirk Hovy explores hidden biases in Natural Language Processing, discussing selection, annotation, model, and design biases, with a focus on American English and potential solutions.
Sharing Your Healthcare Data Safely - SafeData
Workshop on safely sharing healthcare data for research, exploring safeguards to protect patient privacy while unlocking valuable medical information for public benefit.
Exposing Influence in Cyber Social Engineering - Thinking Slow
Explores machine learning methods to expose influence tactics in online deceptive content, aiming to improve human detection of phishing, disinformation, and deceptive ads.
There Is No AI Ethics - The Human Origins of Machine Prejudice - Dr Joanna Bryson
Exploring the human roots of machine bias and challenging the concept of AI ethics. Dr. Bryson discusses the societal implications of AI and the importance of interdisciplinary approaches in addressing ethical concerns.
Operationalizing Creativity - The Data Science of Innovation from Elites to Vox Pop - Dr Simon Dedeo
Explore data-driven approaches to creativity and innovation, from elite to popular levels. Learn about operationalizing creativity, quantifying development, and analyzing innovation dynamics.