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Implementing AutoML Techniques at Salesforce Scale Matthew Tovbin (Salesforce)
⏲ 17 min 7 sec ✓ 11-Jun-2018
How to evaluate ML models | Evaluation metrics for machine learning
⏲ 10 minutes 5 seconds 👁 18.7K
Machine Learning Evaluation
⏲ 6 minutes 18 seconds 👁 1.6K
Today's headlines: Police appeal over missing Leeds woman Molly Garbutt, Bullied Yorkshire woman now successful model, LNER announces summer 2024 ticket sale and Keighley woman who died in serious crash named by police
⏲ 2:32 👁 99.6M
All Machine Learning Models Explained in 5 Minutes | Types of ML Models Basics
⏲ 5 minutes 1 second 👁 567.8K
105 Evaluating A Classification Model 6 Classification Report | Creating Machine Learning Models
⏲ 10 minutes 17 seconds 👁 17.9K
Buffalo Bills: Evaluating Wide Receiver Options for Josh Allen
⏲ 2:59 👁 13.6M
Python Machine Learning - Class 8 | Model Evaluation in ML | Machine Learning | Edureka
⏲ 17 minutes 46 seconds 👁 3.7K
Machine Learning Model Evaluation Metrics
⏲ 34 minutes 3 seconds 👁 19.6K
Splitting & Categorical Casting | Intro to Azure ML Part 9
⏲ 11 min 28 sec ✓ 30-Aug-2017
Confusion Matrix Solved Example Accuracy Precision Recall F1 Score Prevalence by Mahesh Huddar
⏲ 5 minutes 50 seconds 👁 108.4K
Evaluation Metrics for Machine Learning Models | Full Course
⏲ 50 minutes 7 seconds 👁 2K
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_implementing-automl-techniques-at-salesforce-scale-matthew-tovbin-salesforce.webp "Building efficient machine learning applications is not a simple task. The typical engineering process is an iteration of data wrangling, feature generation, model selection, hyperparameter tuning and evaluation. The amount of possible variations of input features, algorithms and parameters makes it too complex to perform efficiently even by experts. Automating this process is especially important when building machine learning applications for thousands of customers.nnIn this talk I demonstrate")
_how-to-evaluate-ml-models-124-evaluation-metrics-for-machine-learning.webp "AssemblyAI")
_machine-learning-evaluation.webp "Computational Thinking")
_today39s-headlines-police-appeal-over-missing-leeds-woman-molly-garbutt-bullied-yorkshire-woman-now-successful-model-lne.webp "Today's headlines with Liana Jacob - Wednesday, April 3, 2024.<br/>A woman from Leeds went missing yesterday as West Yorkshire Police are appealing for information. Molly Garbutt was last seen driving in her black Renault Clio on April 2 wearing pink leggings, a brown velvet thigh length coat and white boots. Anyone with information as to her whereabouts or anyone who believes they may have seen Molly are urged to contact the police.<br/><br/>An inspirational woman who for years was bullied for her appearance and learning disability is now a high flying model. Leeds-born Laura Shaw, who now works as a freelance model, was dubbed ‘ugly’ and ‘thick’ by her peers at school and was told by a teacher that she ‘wouldn’t get far in life due to her disability. These comments have now served as motivation for Laura to pursue her dreams of being a model and she is now featured on billboards and at fashion shows. <br/><br/>LNER is set to place hundreds of thousands of tickets on sale for summer this year following a very popular year in 2023 when more than six million journeys were made between June and August last year. Tickets for many LNER weekday and weekend services up to and including Friday, September 6 this year will be available to purchase from this Thursday (April 4).<br/><br/>Finally, a woman who died in hospital after a serious crash in Keighley last week has been named by the West Yorkshire Police. Joan McIerny was seriously injured when she was hit by a Toyota Yaris in a crash at the junction between Long Lee Lane and Cherry Tree Rise at around 6.15pm on March 25. Joan died in hospital on Saturday March 30. She was 81 years old. The driver of the Yaris stopped at the scene and has been interviewed by the police who are still appealing for witnesses of the incident.")
_all-machine-learning-models-explained-in-5-minutes-124-types-of-ml-models-basics.webp "Learn with Whiteboard")
_105-evaluating-a-classification-model-6-classification-report-124-creating-machine-learning-models.webp "Machine Learning")
_buffalo-bills-evaluating-wide-receiver-options-for-josh-allen.webp "Buffalo Bills: Evaluating Wide Receiver Options for Josh Allen from ml model evaluation")
_python-machine-learning-class-8-124-model-evaluation-in-ml-124-machine-learning-124-edureka.webp "edureka!")
_machine-learning-model-evaluation-metrics.webp "Anaconda, Inc.")
_splitting-amp-categorical-casting-124-intro-to-azure-ml-part-9.webp "Before we can feed this dataset into a machine learning model there are two things we have to take care of. First we have to make sure all the categorical features are treated as categories. We’ll use the editmeta data module once again to cast these features. Then we need to setup a holdout dataset for future evaluation of any model that we build. We will randomly sample our dataset into two partitions, a training set and a test set. The test set we will lock away to pretend that its future w")
_confusion-matrix-solved-example-accuracy-precision-recall-f1-score-prevalence-by-mahesh-huddar.webp "Mahesh Huddar")
_evaluation-metrics-for-machine-learning-models-124-full-course.webp "Analytics Vidhya")
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