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Machine Learning Studies - Jerome Boyer
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Machine Learning Studies - Jerome Boyer
GitHub
About
About
Introduction
Guide for AI/ML
Concepts
Concepts
Core concepts
Math summary
Data scientist skill
Architecture
Architecture
Solution Design
Data management
Data management
Introduction
Feature Engineering
Machine Learning
Machine Learning
Introduction
Classifier
Unsupervised Learning
Anomaly detection
Hybrid AI
Deep Learning
Deep Learning
Introduction
NLP
Distributed Data Parallel
Generative AI
Generative AI
Introduction
Skill set
Prompt Engineering
Solution Design
RAG
Agentic AI
Agno
Anthropic
OpenAI
MCP
Mistral
Cohere
WatsonX.ai
Techno
Techno
Airflow
Claude
Feature Store
Kaggle
OpenSearch
Python studies
SageMaker
Spark studies
UI
UI
Gradio
Streamlit
TaiPy
NiceGUI
GCP
WatsonX.ai
Coding
Coding
Coding getting started
Data Visualization
Haystack.ai
LangChain
LangGraph
LlamaIndex
Pandas
PyTorch
Scikit-learn
Solutions
Solutions
Introduction
Key AI startups
Home
Table of contents
Core features
Installation
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Core features
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