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Machine & Deep Learning Compendium
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The Machine & Deep Learning Compendium
The Ops Compendium
Types Of Machine Learning
Overview
Model Families
Weakly Supervised
Semi Supervised
Active Learning
Online Learning
N-Shot Learning
Foundation Knowledge
Data Science
Data Science Tools
Management
Project & Program Management
Data Science Management
Calculus
Probability & Statistics
Probability
Hypothesis Testing
Feature Types
Multi Label Classification
Distribution
Distribution Transformation
Normalization & Scaling
Regularization
Information Theory
Game Theory
Multi CPU Processing
Benchmarking
Validation & Evaluation
Features
Evaluation Metrics
Datasets
Dataset Confidence
Hyper Parameter Optimization
Training Strategies
Calibration
Datasets Reliability & Correctness
Data & Model Tests
Fairness, Accountability, and Transparency
Interpretable & Explainable AI (XAI)
Federated Learning
Machine Learning
Algorithms 101
Meta Learning (AutoML)
Probabilistic, Regression
Data Mining
Process Mining
Label Algorithms
Clustering Algorithms
Anomaly Detection
Decision Trees
Active Learning Algorithms
Linear Separator Algorithms
Regression
Ensembles
Reinforcement Learning
Incremental Learning
Dimensionality Reduction Methods
Genetic Algorithms & Genetic Programming
Learning Classifier Systems
Recommender Systems
Timeseries
Fourier Transform
Digital Signal Processing (DSP)
Propensity Score Matching
Diffusion models
Classical Graph Models
Graph Theory
Social Network Analysis
Deep Learning
Deep Neural Nets Basics
Deep Neural Frameworks
Embedding
Deep Learning Models
Deep Network Optimization
Attention
Deep Neural Machine Vision
Deep Neural Tabular
Audio
Basics
Terminology
Feature Engineering
Deep Neural Audio
Algorithms
Natural Language Processing
A Reality Check
NLP Tools
Foundation NLP
Name Matching
String Matching
TF-IDF
Language Detection Identification Generation (NLD, NLI, NLG)
Topics Modeling
Named Entity Recognition (NER)
SEARCH
Neural NLP
Tokenization
Decoding Algorithms For NLP
Multi Language
Augmentation
Knowledge Graphs
Annotation & Disagreement
Sentiment Analysis
Question Answering
Summarization
Chat Bots
Foundational Models
Methods
Generative AI
Speech
Prompt
Fairness, Accountability, and Transparency In Prompts
Large Language Models (LLMs)
Vision
GPT
Mix N Match
Stable Diffusion
GenAI Applications
Experimental Design
Design Of Experiments
DOE Tools
A/B Testing
Multi Armed Bandits
Contextual Bandits
Factorial Design
Business Domains
Follow the regularized leader
Growth
Root Cause Effects (RCE/RCA)
Log Parsing / Templatization
Fraud Detection
Life Time Value (LTV)
Survival Analysis
Propaganda Detection
NYC TAXI
Drug Discovery
Intent Recognition
Churn Prediction
Electronic Network Frequency Analysis
Product Management
Expanding Your Data Science Skills
Product Vision & Strategy
Product / Program Managers
Product Management Resources
Product Tools
User Experience Design (UX)
Business
Marketing
MLOps (www.OpsCompendium.com)
DataOps (www.OpsCompendium.com)
Humor
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Root Cause Effects (RCE/RCA)
1.
Survey on Models and Techniques for Root-Cause Analysis
2.
Towards an Approximate Graph Entropy Measure for Identifying Incidents in Network Event Data
3.
Process connectivity and fault diagnosis, hazard assessment
4.
Fault root cause tracing of complicated equipment in fault graph
5.
Signed directed graph modeling of industrial processes and their validation..
6.
Answering Who/When, What, How, Why through Constructing Data Graph, Information Graph, Knowledge Graph and Wisdom Graph
7.
Identifying Suspicious Activities through DNS Failure Graph Analysis
8.
CauseInfer:Automatic and Distributed Performance Diagnosis with Hierarchical Causality Graph in Large Distributed Systems
9.
GRANO: Interactive Graph-based Root Cause Analysis for Cloud-Native Distributed Data Platform
10.
An enhanced Graph Analytics Platform (GAP) providing insight in Big Network Data
11.
Causal Mechanism Graph ─ A new notation for capturing cause-effect knowledge in software dependability
12.
Mining Causality Graph For Automatic Web-based Service Diagnosis
13.
Who Controls the Internet? Analyzing Global Threats using Property Graph Traversals
14.
A Novel Technique for Call Graph Reduction for Bug Localization
15.
Integrated System Model Reliability Evaluation and Prediction for Electrical Power Systems: Graph Trace Analysis Based Solutions
16.
: A Graph Processing System for Diagnosing Distributed Systems
17.
ExplainIt!– A declarative root-cause analysis engine for time series data
Business Domains - Previous
Growth
Next - Business Domains
Log Parsing / Templatization
Last modified
2yr ago