SA
Sam Austin AI
SA
Sam Austin AI
Subscribe
ML-Tools
71 posts filed under this label
Docker
15 min read
Sam Austin
on September 30, 2026
Docker
GPU
ML-Tools
Docker Compose for ML Projects: Multi-Container Development Setup
LLM
13 min read
Sam Austin
on September 29, 2026
LLM
Local-AI
ML-Tools
Speculative Decoding Explained: Speed Up Local LLM Inference
Edge-AI
13 min read
Sam Austin
on September 29, 2026
Edge-AI
Local-AI
ML-Tools
Offline AI Apps: Building Machine Learning Apps That Work Without Internet
LLM
14 min read
Sam Austin
on September 29, 2026
LLM
Local-AI
ML-Tools
Running Multiple Local LLMs: Model Switching and Routing
Hardware
13 min read
Sam Austin
on September 29, 2026
Hardware
LLM
Local-AI
Benchmarking Local LLMs: Tokens per Second Across Hardware
Arduino
14 min read
Sam Austin
on September 29, 2026
Arduino
Edge-AI
ML-Tools
Edge Impulse Tutorial: No-Code TinyML for Embedded Devices
ML-Tools
12 min read
Sam Austin
on September 26, 2026
ML-Tools
Reinforcement-Learning
Robotics
Best Robotics Simulation Software Compared (MuJoCo, PyBullet, Isaac Gym)
ML-Tools
14 min read
Sam Austin
on September 25, 2026
ML-Tools
MLOps
NLP
Best Managed RAG-as-a-Service Platforms
ML-Tools
14 min read
Sam Austin
on September 25, 2026
ML-Tools
MLOps
NLP
Scaling RAG to Millions of Documents: Architecture Patterns
ML-Tools
13 min read
Sam Austin
on September 25, 2026
ML-Tools
MLOps
NLP
Vector Database Indexing Explained: HNSW vs IVF vs Flat
ML-Tools
14 min read
Sam Austin
on September 25, 2026
ML-Tools
MLOps
NLP
Caching Strategies for RAG: Reduce Latency and API Costs
ML-Tools
13 min read
Sam Austin
on September 24, 2026
ML-Tools
MLOps
NLP
RAG for Structured Data: Querying SQL Databases with LLMs
ML-Tools
13 min read
Sam Austin
on September 24, 2026
ML-Tools
MLOps
NLP
RAG for PDFs: Extracting and Retrieving from Complex Documents
ML-Tools
13 min read
Sam Austin
on September 24, 2026
ML-Tools
MLOps
NLP
GraphRAG Explained: Knowledge Graphs Meet Retrieval-Augmented Generation
ML-Tools
13 min read
Sam Austin
on September 24, 2026
ML-Tools
MLOps
NLP
Agentic RAG: Combining AI Agents with Retrieval
ML-Tools
13 min read
Sam Austin
on September 24, 2026
ML-Tools
MLOps
NLP
Query Expansion and Rewriting for Better RAG Retrieval
ML-Tools
13 min read
Sam Austin
on September 24, 2026
ML-Tools
MLOps
NLP
Parent-Child Chunking: Advanced Document Splitting for RAG
ML-Tools
12 min read
Sam Austin
on September 24, 2026
ML-Tools
MLOps
NLP
Contextual Compression in RAG: Retrieve Less, Answer Better
ML-Tools
12 min read
Sam Austin
on September 24, 2026
ML-Tools
MLOps
NLP
RAGAS Tutorial: Automated Evaluation for RAG Pipelines
ML-Tools
12 min read
Sam Austin
on September 23, 2026
ML-Tools
MLOps
NLP
Haystack Tutorial: Build a RAG Pipeline with Deepset's Framework
ML-Tools
12 min read
Sam Austin
on September 23, 2026
ML-Tools
MLOps
NLP
Supabase Vector Tutorial: pgvector Made Easy
ML-Tools
13 min read
Sam Austin
on September 23, 2026
ML-Tools
MLOps
NLP
Redis as a Vector Database: Fast In-Memory Semantic Search
ML-Tools
14 min read
Sam Austin
on September 23, 2026
ML-Tools
MLOps
NLP
Elasticsearch for Vector Search: kNN and Dense Retrieval
ML-Tools
14 min read
Sam Austin
on September 23, 2026
ML-Tools
MLOps
NLP
Milvus Tutorial: Scalable Vector Database for Large Datasets
ML-Tools
14 min read
Sam Austin
on September 23, 2026
ML-Tools
MLOps
NLP
Qdrant Tutorial: Open-Source Vector Search Engine Getting Started
ML-Tools
12 min read
Sam Austin
on September 23, 2026
ML-Tools
MLOps
NLP
HyDE Explained: Hypothetical Document Embeddings for RAG
Computer-Vision
14 min read
Sam Austin
on September 22, 2026
Computer-Vision
Deep-Learning
Image-Augmentation
Mixup and CutMix: Advanced Image Augmentation Techniques (2026)
Audio
13 min read
Sam Austin
on September 22, 2026
Audio
Deep-Learning
ML-Tools
Data Augmentation for Audio: Techniques for Speech and Sound Models (2026)
Computer-Vision
13 min read
Sam Austin
on September 22, 2026
Computer-Vision
Deep-Learning
ML-Tools
Synthetic Data for Computer Vision: Simulating Training Images (2026)
Computer-Vision
15 min read
Sam Austin
on September 22, 2026
Computer-Vision
Deep-Learning
ML-Tools
Diffusion Models for Synthetic Image Generation: A Practical Guide (2026)
Data-Science
14 min read
Sam Austin
on September 22, 2026
Data-Science
Deep-Learning
ML-Tools
Synthetic Data for Imbalanced Classification: SMOTE and Beyond (2026)
Data-Science
11 min read
Sam Austin
on September 22, 2026
Data-Science
ML-Tools
Python
Faker Library Tutorial: Generate Fake Data for Testing and ML (2026)
Deep-Learning
12 min read
Sam Austin
on September 22, 2026
Deep-Learning
ML-Tools
PyTorch
Time Series Data Augmentation: Techniques for Forecasting Models (2026)
Computer-Vision
16 min read
Sam Austin
on September 12, 2026
Computer-Vision
Deep-Learning
ML-Tools
GANs for Data Augmentation: Generate Training Images (2026)
Deep-Learning
16 min read
Sam Austin
on September 12, 2026
Deep-Learning
ML-Tools
MLOps
Synthetic Data for Privacy: Anonymize Sensitive Datasets (2026)
Deep-Learning
15 min read
Sam Austin
on September 12, 2026
Deep-Learning
ML-Tools
NLP
Text Data Augmentation: Techniques for NLP with Limited Data (2026)
Computer-Vision
16 min read
Sam Austin
on September 12, 2026
Computer-Vision
Deep-Learning
ML-Tools
Image Data Augmentation with Albumentations: Complete Guide (2026)
Data-Science
15 min read
Sam Austin
on September 12, 2026
Data-Science
Deep-Learning
ML-Tools
CTGAN Explained: Generating Realistic Synthetic Tables with GANs (2026)
Data-Science
14 min read
Sam Austin
on September 12, 2026
Data-Science
Deep-Learning
ML-Tools
SDV Tutorial: Generate Synthetic Tabular Data with Python (2026)
Data-Science
12 min read
Sam Austin
on September 12, 2026
Data-Science
Deep-Learning
ML-Tools
Best Data Augmentation Libraries for Python (2026)
Data-Science
14 min read
Sam Austin
on September 12, 2026
Data-Science
Deep-Learning
ML-Tools
Best Synthetic Data Generation Tools Compared (2026)
Hardware
14 min read
Sam Austin
on September 9, 2026
Hardware
Machine-Learning
ML-Tools
Cost Optimization for ML Infrastructure: Reduce Cloud Spend (2026)
Deep-Learning
13 min read
Sam Austin
on September 9, 2026
Deep-Learning
Machine-Learning
ML-Tools
Building a Feature Engineering Pipeline with Scikit-learn Pipelines (2026)
Deep-Learning
15 min read
Sam Austin
on September 9, 2026
Deep-Learning
Machine-Learning
ML-Tools
A/B Testing ML Models in Production: Canary and Shadow Deployments (2026)
Deep-Learning
13 min read
Sam Austin
on September 9, 2026
Deep-Learning
Machine-Learning
ML-Tools
Model Registries Explained: Versioning and Managing ML Models (2026)
Deep-Learning
14 min read
Sam Austin
on September 7, 2026
Deep-Learning
Edge-AI
ML-Tools
ONNX Runtime Tutorial: Run Models Across Any Hardware (2026)
ML-Tools
16 min read
Sam Austin
on September 5, 2026
ML-Tools
Reinforcement-Learning
Unity ML-Agents Tutorial: Build Game AI in Unity (2026)
ML-Tools
16 min read
Sam Austin
on September 5, 2026
ML-Tools
Reinforcement-Learning
Stable-Baselines3 Tutorial: Train RL Agents in Minutes (2026)
ML-Tools
14 min read
Sam Austin
on September 4, 2026
ML-Tools
Reinforcement-Learning
Introduction to Gymnasium: OpenAI's RL Environment Toolkit (2026)
ML-Tools
14 min read
Sam Austin
on September 3, 2026
ML-Tools
Reinforcement-Learning
Best Robotics Simulation Hardware and Kits (2026): Complete Buying Guide
ML-Tools
8 min read
Sam Austin
on March 4, 2026
ML-Tools
Scikit-learn Pipeline Tutorial: Streamline Your ML Workflow in Python
ML-Tools
9 min read
Sam Austin
on March 4, 2026
ML-Tools
How to Use Matplotlib Subplots for ML Model Comparison Visualizations
ML-Tools
7 min read
Sam Austin
on March 4, 2026
ML-Tools
PyCaret Tutorial: AutoML Library That Simplifies Python Machine Learning
ML-Tools
12 min read
Sam Austin
on March 3, 2026
ML-Tools
Optuna Hyperparameter Tuning: Optimize ML Models Faster Than GridSearch
ML-Tools
7 min read
Sam Austin
on March 3, 2026
ML-Tools
MLxtend Library Guide: Extend Scikit-learn with Powerful ML Tools
ML-Tools
6 min read
Sam Austin
on March 2, 2026
ML-Tools
CatBoost Python Tutorial: Handle Categorical Features Like a Pro
ML-Tools
8 min read
Sam Austin
on March 1, 2026
ML-Tools
Prophet Time Series Forecasting: Facebook’s ML Library for Python
ML-Tools
8 min read
Sam Austin
on March 1, 2026
ML-Tools
Plotly for Machine Learning: Create Interactive ML Visualizations
ML-Tools
8 min read
Sam Austin
on February 28, 2026
ML-Tools
PyCaret vs Auto-sklearn: Which AutoML Library Should You Choose?
ML-Tools
9 min read
Sam Austin
on February 27, 2026
ML-Tools
Scikit-learn Cross Validation: Master K-Fold and Stratified Techniques
ML-Tools
11 min read
Sam Austin
on February 25, 2026
ML-Tools
Feature-engine Library: Advanced Feature Engineering in Python
ML-Tools
10 min read
Sam Austin
on February 25, 2026
ML-Tools
Yellowbrick Visualizer: ML Model Selection and Evaluation Made Visual
ML-Tools
12 min read
Sam Austin
on February 24, 2026
ML-Tools
Imbalanced-learn (imblearn): Handle Imbalanced Datasets Like a Pro
ML-Tools
11 min read
Sam Austin
on February 23, 2026
ML-Tools
Statsmodels Python Guide: Statistical Analysis for Machine Learning
ML-Tools
12 min read
Sam Austin
on February 22, 2026
ML-Tools
TPOT AutoML Tutorial: Genetic Programming for Pipeline Optimization
ML-Tools
11 min read
Sam Austin
on February 21, 2026
ML-Tools
Scikit-optimize (skopt): Bayesian Optimization for Hyperparameters
ML-Tools
9 min read
Sam Austin
on February 18, 2026
ML-Tools
Ray Tune Hyperparameter Optimization: Distributed Tuning at Scale
ML-Tools
10 min read
Sam Austin
on February 16, 2026
ML-Tools
Streamlit for Machine Learning: Build ML Web Apps in Minutes
ML-Tools
9 min read
Sam Austin
on February 15, 2026
ML-Tools
Gradio Python Tutorial: Create ML Demos and Share Your Models
ML-Tools
9 min read
Sam Austin
on February 12, 2026
ML-Tools
Scikit-learn Ensemble Methods: Bagging, Boosting, and Stacking Explained
ML-Tools
11 min read
Sam Austin
on February 9, 2026
ML-Tools
Boruta Feature Selection: Identify Important Features in Python
← All archives
What are You Looking For?
esc
