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TPG3 duration 52 minutes 36 seconds TPG3 TPG3	TPG3 Lecture on Big Data and Artificial Intelligence big data artificial intelligence politics things patterns machine computer kind media intelligence humans lot computers text questions question learning person lots spam crime population analysis From Clare Llewellyn 0 likes 35 plays 0 Course Code PLIT10133 Publisher Clare Llewellyn Licence Type Creative Commons - Attribution Non Commercial Language English Date Created October 5th, 2022 Retain Source File Yes
Registration - Cool Farm Tool duration 53 seconds Registration - Cool Farm Tool Registration - Cool Farm Tool	Registration - Cool Farm Tool This video is from the Cool Farm Toool the royal (dick) school of veterinary studies cpd cool farm tool account register tool inbox folder spam end policies dot app steps process registration videos introduction firm From Louise Connelly 0 likes 187 plays Publisher Digital Education Unit Licence Type All rights reserved The University of Edinburgh Language English Date Created April 21st, 2021
ML0: Introduction to ML duration 12 minutes 25 seconds ML0: Introduction to ML ML0: Introduction to ML	ML0: Introduction to ML This video is taken from the introductory seminar to the SNADA2 course, where we introduce what is meant by machine learning and what it can be used for. machine image things learning loads dog lots graph function images spam problems frequency model pixel colour thing dimensions text left From Elliot Crowley 0 likes 49 plays 0
IDS - Week 09 - 04 - Feature engineering duration 30 minutes 7 seconds IDS - Week 09 - 04 - Feature engineering IDS - Week 09 - 04 - Feature engineering	IDS - Week 09 - 04 - Feature engineering Feature engineering with recipes and fitting models with workflows data science rstats variables spam model recipe training variable testing emails step steps models workflow thing things month week function probability engineering outcome From Mine Cetinkaya-Rundel 0 likes 49 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
IDS - Week 09 - 03 - Prediction and overfitting duration 28 minutes 22 seconds IDS - Week 09 - 03 - Prediction and overfitting IDS - Week 09 - 03 - Prediction and overfitting	IDS - Week 09 - 03 - Prediction and overfitting Making predictions based on models and splitting data into training and testing sets to avoid overfitting data science rstats spam model probability curve training variable testing variables models observations emails things function dataset truth rate fact level probabilities word From Mine Cetinkaya-Rundel 0 likes 65 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
IDS - Week 09 - 02 - Logistic regression duration 19 minutes 28 seconds IDS - Week 09 - 02 - Logistic regression IDS - Week 09 - 02 - Logistic regression	IDS - Week 09 - 02 - Logistic regression Predicting binary outcomes with logistic regression data science rstats spam model characters probability linear emails function logit regression minus success outcome specificity sensitivity infinity bit rate inbox slope models From Mine Cetinkaya-Rundel 0 likes 59 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
ML5: K-Nearest Neighbours Classification duration 9 minutes 48 seconds ML5: K-Nearest Neighbours Classification ML5: K-Nearest Neighbours Classification	ML5: K-Nearest Neighbours Classification In this video, we introduce the simplest classifier: the K-Nearest Neighbours classifier. This classifier has no trainable parameters, and classifies test points by finding its closest training… test point training neighbors class points classifier validation classification parameters hyperparameters vector dog george distance spam cat jackson vote step From Elliot Crowley 0 likes 33 plays 0
ML4: An introduction to Classification duration 6 minutes 48 seconds ML4: An introduction to Classification ML4: An introduction to Classification	ML4: An introduction to Classification Here, we explain what is meant by a (binary) classifier. It is a black box that takes in some data and predicts whether it belongs to one of two possible classes. We also describe how we can split… classifier spam dog training test machine cat cats dogs examples algorithms emails classes things accuracy dataset algorithm reason musk elon From Elliot Crowley 0 likes 36 plays 0
Receiver Operating Characteristic (ROC) Curve duration 13 minutes 34 seconds Receiver Operating Characteristic (ROC) Curve Receiver Operating Characteristic (ROC) Curve	Receiver Operating Characteristic (ROC) Curve Receiver Operating Characteristic (ROC) Curve iaml evaluation threshold rate positives classifier spam curve negatives point thresholds probability question systems left side bayes emails numbers rates function confidence From Nigel Goddard 1 likes 3,550 plays 0 Licence Type Creative Commons - Attribution
Classification Error and Accuracy duration 1 minute 35 seconds Classification Error and Accuracy Classification Error and Accuracy	Classification Error and Accuracy Classification Error and Accuracy iaml evaluation accuracy error negatives instances errors classification events class measure spam testing rate earthquake users engine earthquakes cases classes problem things From Nigel Goddard 0 likes 2,951 plays 0 Licence Type Creative Commons - Attribution
False Positives and False Negatives duration 3 minutes 10 seconds False Positives and False Negatives False Positives and False Negatives	False Positives and False Negatives False Positives and False Negatives iaml evaluation positives negatives diagonal spam blocks classification numbers building columns rows classes matrix confusion humans truth things emails row measures bunch From Nigel Goddard 1 likes 2,899 plays 0 Licence Type Creative Commons - Attribution
Generalization Error duration 4 minutes 43 seconds Generalization Error Generalization Error	Generalization Error Generalization Error generalization error systems science predict philosophical terminology integral cybernetics general form measure bitmaps tells caption complete graphics file formats human communication classification training error system label observations scientific method evaluation function iaml probability effects regression difference probabilistic real numbers compute equation value political philosophy future values truth logic finite number distribution predictor error training generalization sum attribute step range tomorrow spam From Nigel Goddard 0 likes 3,846 plays 0 Licence Type Creative Commons - Attribution
Naive Bayes for Spam Detection duration 5 minutes 49 seconds Naive Bayes for Spam Detection Naive Bayes for Spam Detection	Naive Bayes for Spam Detection Naive Bayes for Spam Detection probability predict attribute labels number computer happen occur caption complete review presentation email independence iaml separate naive user thought chance contradictory effects classify password word password times thought thing advertising representation classifier spam word class words bayes emails minus things probabilities nonspam lots classifiers training numbers From Nigel Goddard 2 likes 3,807 plays 1 Licence Type Creative Commons - Attribution
The Zero-Frequency Problem duration 3 minutes 4 seconds The Zero-Frequency Problem The Zero-Frequency Problem	The Zero-Frequency Problem The Zero-Frequency Problem iaml words spam epsilon emails word probabilities probability bayes opportunity investment stuff law text epsilons half statistics times thing fact account From Nigel Goddard 1 likes 3,546 plays 0 Licence Type Creative Commons - Attribution
Bayesian Classification duration 5 minutes 32 seconds Bayesian Classification Bayesian Classification	Bayesian Classification Bayesian Classification probability predict problematic computer mathematical terminology classification interesting percent predictions class assuming scientific method email classify function iaml digit predicting stick ontology small number classifiers compute classified probabilistic times values representation quantity pixel effects spam classes classifier words probabilities bayes x. model classifications y. From Nigel Goddard 1 likes 4,814 plays 0 Licence Type Creative Commons - Attribution
Supervised vs Unsupervised Learning duration 5 minutes 16 seconds Supervised vs Unsupervised Learning Supervised vs Unsupervised Learning	Supervised vs Unsupervised Learning Supervised vs Unsupervised Learning iaml data algorithm learning method spam evaluation algorithms output emails training thing tomorrow lots methods task quantity instances structure cases accuracy labels From Nigel Goddard 1 likes 2,810 plays 0 Licence Type Creative Commons - Attribution