Machine-Learning
All articles
67 total
Distributed Training: FSDP, DeepSpeed, and Parallelism New
How to train models too large for one GPU, covering data, tensor, and …
Guides
Added 2 Jul
·
Upd 2 Jul
·7 min
Paperspace New
Paperspace, now part of DigitalOcean, offers cloud GPUs, Jupyter …
Added 29 Jun
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Upd 29 Jun
·4 min
TensorFlow (2015) New
Google's open-source machine learning framework for building and …
History
Added 23 Jun
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Upd 23 Jun
·5 min
What is a Neural Network? New
A neural network is the core architecture behind modern AI. …
Basics
Added 22 Jun
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Upd 22 Jun
·4 min
What is Machine Learning? New
Machine learning is how AI learns from data instead of following …
Basics
Added 22 Jun
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Upd 22 Jun
·5 min
What is a Model? New
A model is the learned thing an AI produces from data and then uses to …
Basics
Added 15 Jun
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Upd 15 Jun
·4 min
Active Learning
Framework for intelligently selecting the most informative data points …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Apache Spark
Unified Big Data Processing Engine
Tools
Added 28 Mar
·
Upd 30 May
·3 min
AutoML
Automated Machine Learning Model Training
Tools
Added 28 Mar
·
Upd 30 May
·3 min
Azure Machine Learning
End-to-End ML Platform
Tools
Added 28 Mar
·
Upd 30 May
·3 min
Bayesian Optimization
Gaussian process-based sequential optimization method for efficient …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Bias-Variance Tradeoff
What the bias-variance tradeoff is, how it explains model …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
BigQuery
Serverless Data Warehouse and Analytics Engine
Tools
Added 28 Mar
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Upd 30 May
·3 min
Case Pattern: AI Real Estate Valuation for a Property Technology Company
Architecture and lessons from building an AI-powered automated valuation …
Case Patterns
Added 28 Mar
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Upd 30 May
·3 min
Case Pattern: AI Recommendation Engine for an Online Retailer
Architecture and lessons from building a production recommendation …
Case Patterns
Added 28 Mar
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Upd 30 May
·3 min
Clustering
What clustering is, major clustering algorithms, and practical …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
CRISP-DM: Cross-Industry Standard Process for Data Mining
The most widely used methodology for data science and machine learning …
Frameworks
Added 28 Mar
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Upd 30 May
·4 min
Cross-Validation
What cross-validation is, how it provides robust model performance …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Decision Tree
What decision trees are, how they make predictions through hierarchical …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Deep Learning
What deep learning is, how it differs from traditional machine learning, …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Dimensionality Reduction
What dimensionality reduction is, common techniques including PCA and …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Ensemble Methods
What ensemble methods are, how combining models improves predictions, …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
Feature Engineering Guide
Systematic approaches to feature creation, selection, and transformation …
Guides
Added 28 Mar
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Upd 30 May
·4 min
Feature Stores for Machine Learning
A Practical Guide
Guides
Added 28 Mar
·
Upd 30 May
·5 min
Federated Learning
Training Without Centralizing Data
Guides
Added 28 Mar
·
Upd 30 May
·6 min
Few-Shot Learning
What few-shot learning is, how it enables models to generalize from …
Glossary
Added 28 Mar
·
Upd 30 May
·2 min
Fine-Tuning LLMs
A Practical Guide
Guides
Added 28 Mar
·
Upd 30 May
·10 min
GDPR Compliance for AI/ML Teams
A practical guide for AI and machine learning teams on meeting GDPR …
Guides
Added 28 Mar
·
Upd 30 May
·4 min
GDPR Framework for AI and Machine Learning
How GDPR applies to AI/ML systems: lawful basis for training data, data …
Frameworks
Added 28 Mar
·
Upd 30 May
·5 min
Gradient Boosting
Ensemble learning method that builds models sequentially to correct …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Hierarchical Clustering
Agglomerative and divisive clustering methods that produce a tree-like …
Glossary
Added 28 Mar
·
Upd 30 May
·3 min
Hugging Face Transformers
Open-Source Model Library
Tools
Added 28 Mar
·
Upd 30 May
·3 min
Hyperparameter Tuning
What hyperparameter tuning is, the main strategies for finding optimal …
Glossary
Added 28 Mar
·
Upd 30 May
·2 min
K-Means Clustering
What K-means clustering is, how the algorithm works, and practical …
Glossary
Added 28 Mar
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Upd 30 May
·2 min
K-Nearest Neighbors (KNN)
Instance-based lazy learning algorithm that classifies data points by …
Glossary
Added 28 Mar
·
Upd 30 May
·3 min
Kubeflow
Machine Learning Platform for Kubernetes
Tools
Added 28 Mar
·
Upd 30 May
·2 min
Linear Regression
Foundational supervised learning algorithm for continuous prediction, …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Logistic Regression
Binary and multinomial classification algorithm using the sigmoid …
Glossary
Added 28 Mar
·
Upd 30 May
·3 min
Loss Function
What loss functions are, how they guide model training, and which loss …
Glossary
Added 28 Mar
·
Upd 30 May
·2 min
ML Engineer vs Data Scientist
Roles, Skills, and When You Need Each
Guides
Added 28 Mar
·
Upd 30 May
·5 min
ML Pipeline Automation
From Manual to Continuous
Guides
Added 28 Mar
·
Upd 30 May
·5 min
MLOps
Machine Learning Operations
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Naive Bayes
Probabilistic classification algorithm based on Bayes' theorem with …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Neural Network
What neural networks are, how they learn from data, and where they fit …
Glossary
Added 28 Mar
·
Upd 30 May
·3 min
NLP Pipeline Design
From Raw Text to Actionable Insights
Guides
Added 28 Mar
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Upd 30 May
·5 min
Online Learning
Incremental machine learning approach that updates models continuously …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Overfitting
What overfitting is, how to detect it, and practical strategies to …
Glossary
Added 28 Mar
·
Upd 30 May
·3 min
PCA
Principal Component Analysis
Glossary
Added 28 Mar
·
Upd 30 May
·2 min
Recommendations AI
Personalized Recommendation Engine
Tools
Added 28 Mar
·
Upd 30 May
·3 min
Reinforcement Learning
What reinforcement learning is, how agents learn from rewards, and where …
Glossary
Added 28 Mar
·
Upd 30 May
·3 min
Scrum for Machine Learning Teams
A Practical Guide
Guides
Added 28 Mar
·
Upd 30 May
·5 min
Scrum vs Kanban for Machine Learning Teams
Comparing Scrum and Kanban frameworks for ML teams, covering ceremonies, …
Comparisons
Added 28 Mar
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Upd 14 Jun
·5 min
Semi-Supervised Learning
Machine learning approach that leverages both labeled and unlabeled data …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
SHAP and LIME
Post-hoc explanation methods for interpreting predictions of black-box …
Glossary
Added 28 Mar
·
Upd 30 May
·4 min
spaCy
Industrial-Strength NLP Library
Tools
Added 28 Mar
·
Upd 30 May
·2 min
Supervised Learning
What supervised learning is, how it works with labeled data, and when to …
Glossary
Added 28 Mar
·
Upd 30 May
·3 min
Support Vector Machine (SVM)
Margin-maximizing classifier that uses the kernel trick to handle …
Glossary
Added 28 Mar
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Upd 30 May
·3 min
Synthetic Data Generation for AI
How to generate and use synthetic data for AI training, covering …
Guides
Added 28 Mar
·
Upd 30 May
·5 min
t-SNE
Non-linear dimensionality reduction technique for visualizing …
Glossary
Added 28 Mar
·
Upd 30 May
·3 min
Time Series Forecasting with AI
A practical guide to time series forecasting for business applications, …
Guides
Added 28 Mar
·
Upd 30 May
·5 min
Transfer Learning
What transfer learning is, how pre-trained models reduce training costs, …
Glossary
Added 28 Mar
·
Upd 30 May
·2 min
UMAP
Uniform Manifold Approximation and Projection for faster dimensionality …
Glossary
Added 28 Mar
·
Upd 30 May
·3 min
Underfitting
What underfitting is, how to identify it, and strategies to improve …
Glossary
Added 28 Mar
·
Upd 30 May
·3 min
Unsupervised Learning
What unsupervised learning is, how it discovers patterns without labels, …
Glossary
Added 28 Mar
·
Upd 30 May
·2 min
What is AI?
AI is software that learns patterns from data instead of following …
Basics
Added 24 May
·
Upd 30 May
·7 min
XGBoost
What XGBoost is, why it dominates structured data tasks, and practical …
Glossary
Added 28 Mar
·
Upd 30 May
·3 min
Zero-Shot Learning
What zero-shot learning is, how models perform tasks without examples, …
Glossary
Added 28 Mar
·
Upd 30 May
·2 min
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