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#Outlier Detection

Showing: 30 courses
The AI University

Machine Learning Data Pre-processing and Data Wrangling Using Python

2 rewiews
Master Python data preprocessing techniques for machine learning, including handling missing values, encoding, scaling, outlier detection, and data transformation using popular libraries.
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16 Lesons
4 hours 30 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Production Machine Learning Monitoring: Outliers, Drift, Explainers and Statistical Performance

0 rewiews
Dive deep into advanced ML model monitoring techniques, including outlier detection, concept drift, explainability, and performance metrics for robust production deployments.
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1 Lesons
32 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Deploying and Managing Machine Learning Models at Scale - A Hands-On Workshop

0 rewiews
Deploy and manage ML models at scale. Hands-on workshop covers creation, deployment, monitoring, and management using real-life scenarios. Gain practical experience with Seldon Deploy, explainers, and outlier detection.
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1 Lesons
48 minutes
On-Demand
Free-Video

Statistics in Machine Learning

0 rewiews
Comprehensive guide to statistics for machine learning, covering fundamental concepts, distributions, hypothesis testing, and practical applications using Python.
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42 Lesons
18 hours
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling

0 rewiews
Explore deep generative modeling, including autoencoders, VAEs, and GANs. Learn about latent variables, representation learning, and applications in image generation and domain transformation.
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23 Lesons
44 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

Covariance and Subspace Inference: Handling Robustness, Variability and Heterogeneity

0 rewiews
Explore covariance matrix inference and PCA for non-regular data, covering mixed effects models, Gaussian assumptions, outlier handling, and applications in radio-interferometry calibration and imaging.
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1 Lesons
38 minutes
On-Demand
Free-Video
Bioinformagician

Weighted Gene Co-expression Network Analysis - Step-by-Step Tutorial - Part 1

0 rewiews
Learn step-by-step Weighted Gene Co-expression Network Analysis (WGCNA) for RNA-Seq data, covering data manipulation, outlier detection, normalization, module identification, and visualization techniques.
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16 Lesons
36 minutes
On-Demand
Free-Video
Open Data Science

A Spurious Outlier Detection System for High Frequency Time Series Data

0 rewiews
Discover an integrated approach for detecting spurious outliers in high-frequency time series data from IoT sensors, applicable across various domains like manufacturing, retail, and healthcare.
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9 Lesons
20 minutes
On-Demand
Free-Video
Prodramp

Prepare Your Data for Machine Learning Like a Rockstar Data Engineer With DataRobot AI Platform

0 rewiews
Learn to prepare data for machine learning using DataRobot AI Platform. Covers AI catalog creation, EDA, feature engineering, outlier detection, data joining, and more. Ideal for data engineers and analysts.
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17 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Great Learning

Exploratory Data Analysis Tutorial - Basics of EDA with Python

0 rewiews
Learn Python-based exploratory data analysis techniques to uncover insights, detect patterns, and visualize relationships in datasets for informed decision-making and hypothesis testing.
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1 Lesons
4 hours 32 minutes
On-Demand
Free-Video
Inside Livermore Lab

Simultaneous Feature Selection and Outlier Detection Using Mixed-Integer Programming

0 rewiews
Explore mixed-integer programming for simultaneous feature selection and outlier detection in high-dimensional regressions, with applications to biomedical research and microbiome studies.
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13 Lesons
1 hour
On-Demand
Free-Video
USC Probability and Statistics Seminar

Modal Regression: A New Approach to Modeling Conditional Relationships - Lecture

0 rewiews
Explore modal regression, a new tool revealing unique data structures and offering advantages over mean and quantile regressions for outliers, heavy-tailed, and truncated data.
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1 Lesons
53 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Diagnostics to Improve Linear Model Fit - OLS Analysis and Residual Plots

0 rewiews
Explore techniques to enhance linear model fit through residual analysis, normality checks, and outlier detection in OLS regression.
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11 Lesons
29 minutes
On-Demand
Free-Video
Julia Silge

Modeling GDPR Violations in R With Tidymodels

0 rewiews
Explore data preprocessing and modeling for GDPR violations using tidymodels in R. Learn feature engineering, workflow creation, and prediction techniques with real-world data.
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16 Lesons
50 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Cloud Native Machine Learning - Automated Anomaly Detection

0 rewiews
Explore automated anomaly detection techniques for machine learning, enhancing your ability to identify and respond to data irregularities in cloud-native environments.
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1 Lesons
57 minutes
On-Demand
Free-Video
Yannic Kilcher

Author Interview - VOS- Learning What You Don't Know by Virtual Outlier Synthesis

0 rewiews
Interview exploring Virtual Outlier Synthesis for out-of-distribution detection in neural networks. Discusses motivations, methodology, and key findings of novel approach to improve model robustness using synthesized outlier data.
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11 Lesons
36 minutes
On-Demand
Free-Video
Yannic Kilcher

Learning What You Don't Know by Virtual Outlier Synthesis - Paper Explained

0 rewiews
Explore Virtual Outlier Synthesis, a novel method for improving out-of-distribution detection in deep learning models by generating synthetic outliers during training to enhance decision boundary regularization.
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9 Lesons
36 minutes
On-Demand
Free-Video
Kavli Institute for Theoretical Physics

Unsupervised Learning for Stellar Spectra with Deep Normalizing Flows - Jo Ciuca

0 rewiews
Explore unsupervised machine learning techniques for analyzing stellar spectra using deep normalizing flows, with applications in galaxy evolution and big data astronomy.
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20 Lesons
28 minutes
On-Demand
Free-Video
Alan Turing Institute

Recent Progress in Predictive Inference - Emmanuel Candes, Stanford University

0 rewiews
Emmanuel Candes discusses novel calibration techniques for machine learning predictions, addressing issues like false discovery rate control and adaptive conformal inference to handle distribution shifts.
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21 Lesons
59 minutes
On-Demand
Free-Video
Chemometrics & Machine Learning in Copenhagen

PLS Number of Components

0 rewiews
Learn validation techniques for PLS models, including outlier detection, error measures, cross-validation, and practical tips for selecting the optimal number of components.
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8 Lesons
26 minutes
On-Demand
Free-Video
Fields Institute

Dual Principal Component Pursuit

0 rewiews
Explore a novel approach to learning subspaces from corrupted data, tolerating high outlier ratios and dimensions. Discover algorithms and theoretical guarantees for this non-convex optimization problem.
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1 Lesons
51 minutes
On-Demand
Free-Video
Open Data Science

Production Machine Learning Monitoring- Principles, Patterns and Techniques

0 rewiews
Practical deep dive on production monitoring of machine learning models, covering standard techniques and advanced paradigms like concept drift, outlier detection, and explainability, with hands-on examples and architectural patterns.
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24 Lesons
38 minutes
On-Demand
Free-Video
WEareTROOPERS

Alfred, Find the Attacker - A Primer on AI and ML Applications in the IT Security Domain

0 rewiews
Explore AI and ML applications in IT security, covering classification, outlier detection, and user behavior analysis for enhanced protection and threat detection.
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18 Lesons
37 minutes
On-Demand
Free-Video
USENIX

Spike Detection in Alert Correlation at LinkedIn

0 rewiews
Discover how LinkedIn uses spike detection in alert correlation to quickly identify root causes of outages in their complex microservices architecture, reducing false positives and engineer toil.
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15 Lesons
20 minutes
On-Demand
Free-Video
Security Onion

Practical Cyborgism - Machine Learning for Bro Logs

0 rewiews
Explore machine learning techniques for analyzing Bro logs, focusing on supervised and unsupervised methods to enhance cybersecurity threat detection and analysis.
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21 Lesons
33 minutes
On-Demand
Free-Video
EuroPython Conference

Production ML Monitoring - Outliers, Drift, Explainers & Statistical Performance

0 rewiews
Practical deep dive into advanced ML monitoring techniques, covering outliers, drift, explainers, and statistical performance for robust production deployment and scalability.
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16 Lesons
26 minutes
On-Demand
Free-Video
Data Science Festival

Data Preprocessing and Feature Engineering for Machine Learning

0 rewiews
Master data preprocessing and feature engineering techniques for effective machine learning. Explore imputation, encoding, transformations, and more to maximize value from your data and improve model performance.
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21 Lesons
40 minutes
On-Demand
Free-Video
UofU Data Science

Distance Metric Learning and Outlier Detection in Data Mining - Spring 2023

0 rewiews
Delve into advanced data mining concepts, focusing on distance metric learning, outlier detection techniques, and practical applications of DBSCAN for effective data analysis.
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14 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

An Introduction to Drift Detection

0 rewiews
Explore drift detection in machine learning, covering types, detection methods, and practical applications using Alibi Detect. Gain hands-on experience with real-world examples and state-of-the-art techniques.
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1 Lesons
1 hour 29 minutes
On-Demand
Free-Video
VinAI

Robust Parameter Estimation in Computer Vision

0 rewiews
Explore robust parameter estimation in computer vision, focusing on algorithms for handling outliers in large-scale data and recent developments in the field.
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1 Lesons
1 hour 13 minutes
On-Demand
Free-Video