Part Three: Engineering (Data, Software, Machine Learning, AI)
15
Containerization
Financial Machine Learning Ops
Preface
Part One: Domain Knowledge (Finance and Investment)
1
Macroeconomics
2
Accounting and Corporate Finance
3
Risk Factors
4
Financial Products
5
Portfolio Management
6
Financial Risk Management
Part Two: Science (Data Science, Statistics, Machine Learning and AI)
7
Mathematical and Statistical Background
8
Exploratory Data Analaysis
9
Statistical and Machine Learning Models
10
Deep Learning
11
LxM and Agentic AI
Part Three: Engineering (Data, Software, Machine Learning, AI)
12
Data Engineering
13
Cloud Computing
14
Distributed and Parallel Computing
15
Containerization
Part Four: Management (Project, Product, People)
16
Project Management
17
Product Management
18
People Management
Appendices
A
Bash Scripts
B
Python
References
Table of contents
15.1
Docker
15.2
Kubernetes
16
Orchestration
16.1
Jenkins
16.2
Airflow
17
Testing
18
Packaging
19
Microservices
19.1
Dashboard
19.2
API
19.3
Web Development
Part Three: Engineering (Data, Software, Machine Learning, AI)
15
Containerization
15
Containerization
15.1
Docker
15.2
Kubernetes
16
Orchestration
16.1
Jenkins
16.2
Airflow
17
Testing
18
Packaging
19
Microservices
19.1
Dashboard
19.2
API
19.3
Web Development
14
Distributed and Parallel Computing
Part Four: Management (Project, Product, People)